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436 KiB
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{"version":"1.1.0","generated_at":"2026-08-23T15:15:56Z","repository":"https://github.com/mukul975/Anthropic-Cybersecurity-Skills","domain":"cybersecurity","total_skills":817,"skills":[{"name":"abusing-dpapi-for-credential-access","description":"Extract and decrypt Windows DPAPI-protected secrets (Credential Manager, browser logins/cookies, Wi-Fi credentials, KeePass keys) online or offline using SharpDPAPI, SharpChrome, Mimikatz, or Impacket's dpapi.py, including domain-wide decryption via the DPAPI backup key. Use during authorized red-team credential-access engagements after gaining a foothold or when triaging DPAPI blobs pulled from a host.","domain":"cybersecurity","path":"skills/abusing-dpapi-for-credential-access"},{"name":"abusing-shadow-credentials-for-privesc","description":"Take over Active Directory accounts by writing attacker-controlled public keys to msDS-KeyCredentialLink (Shadow Credentials) with pyWhisker, Whisker, or Certipy, then authenticate via PKINIT to recover the target's NT hash without a password reset. Use when BloodHound shows GenericWrite/GenericAll/AddKeyCredentialLink over a target, as a stealthier alternative to ForceChangePassword, during authorized red-team engagements.","domain":"cybersecurity","path":"skills/abusing-shadow-credentials-for-privesc"},{"name":"achieving-cmmc-level-2-compliance","description":"Prepare a defense-contractor environment for CMMC Level 2 certification: scope CUI and FCI, implement the 110 NIST SP 800-171 Rev 2 security requirements across 14 families, compute the SPRS score with the DoD Assessment Methodology, manage a compliant POA&M, and ready the organization for a C3PAO assessment. Use when an organization handles Controlled Unclassified Information (CUI) under a DoD contract, when a contract carries DFARS clause 252.204-7012/7019/7020/7021, when preparing for or responding to a CMMC assessment, when computing or improving an SPRS score, when building a System Security Plan or POA&M for 800-171, or when scoping which systems are in the CUI boundary. Keywords: CMMC, CMMC Level 2, NIST 800-171, SP 800-171 Rev 2, CUI, FCI, SPRS, DFARS 7012, C3PAO, POA&M, System Security Plan, DoD Assessment Methodology, 110 controls, defense industrial base, DIB, FedRAMP equivalency.","domain":"cybersecurity","path":"skills/achieving-cmmc-level-2-compliance"},{"name":"acquiring-disk-image-with-dd-and-dcfldd","description":"Create forensically sound bit-for-bit disk images with dd or dcfldd on a Linux forensic workstation, preserving evidence integrity through hash verification (MD5/SHA) during acquisition. Use when imaging a suspect drive, USB device, or memory card for investigation, preserving volatile disk evidence during incident response, or producing a verified copy for legal or law-enforcement proceedings before any destructive analysis.","domain":"cybersecurity","path":"skills/acquiring-disk-image-with-dd-and-dcfldd"},{"name":"analyzing-active-directory-acl-abuse","description":"Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths","domain":"cybersecurity","path":"skills/analyzing-active-directory-acl-abuse"},{"name":"analyzing-android-malware-with-apktool","description":"Perform static analysis of Android APK malware using apktool for resource decompilation, jadx for Java source recovery, and androguard for manifest inspection, dangerous permission-combination detection, and identification of obfuscated code, dynamic code loading, and reflection-based API calls. Use to statically triage a suspicious APK without executing it or to build mobile malware detection rules.","domain":"cybersecurity","path":"skills/analyzing-android-malware-with-apktool"},{"name":"analyzing-api-gateway-access-logs","description":"Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts. Uses pandas for statistical analysis of request patterns and anomaly detection. Use when investigating API abuse or building API-specific threat detection rules.","domain":"cybersecurity","path":"skills/analyzing-api-gateway-access-logs"},{"name":"analyzing-apt-group-with-mitre-navigator","description":"Query ATT&CK data with attackcti, mitreattack-python, and stix2, then build MITRE ATT&CK Navigator layers and multi-layer heatmap overlays mapping one or more APT groups' TTPs for detection-gap analysis. Use to compare threat-actor technique coverage, find gaps in detection engineering, or produce Navigator visualizations for threat-intel reporting.","domain":"cybersecurity","path":"skills/analyzing-apt-group-with-mitre-navigator"},{"name":"analyzing-azure-activity-logs-for-threats","description":"Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Builds KQL queries for threat hunting in Azure environments. Use when investigating suspicious Azure tenant activity or building cloud SIEM detections.","domain":"cybersecurity","path":"skills/analyzing-azure-activity-logs-for-threats"},{"name":"analyzing-bootkit-and-rootkit-samples","description":"Analyzes bootkit and advanced rootkit malware infecting the Master Boot Record (MBR), Volume Boot Record (VBR), or UEFI firmware for below-OS persistence, covering boot sector analysis, UEFI module inspection, and anti-rootkit detection. Use when compromise survives OS reinstallation or antivirus/EDR fails to detect malware despite clear infection signs.","domain":"cybersecurity","path":"skills/analyzing-bootkit-and-rootkit-samples"},{"name":"analyzing-browser-forensics-with-hindsight","description":"Parse Chromium-based browser databases with Hindsight to extract and correlate browsing history, downloads, cookies, cached content, autofill data, saved passwords, and extensions from Chrome, Edge, Brave, Opera, and Vivaldi into a unified timeline (XLSX, JSON, or SQLite output). Use during incident response, insider-threat investigations, or criminal cases when you need to reconstruct a user's web activity from a browser profile.","domain":"cybersecurity","path":"skills/analyzing-browser-forensics-with-hindsight"},{"name":"analyzing-campaign-attribution-evidence","description":"Systematically evaluate cyber-campaign evidence to attribute an operation to a threat actor, using the Diamond Model and Analysis of Competing Hypotheses (ACH) to weigh infrastructure overlaps, TTP consistency, malware code similarity, and timing/language artifacts into confidence-weighted attribution assessments. Use when an incident investigation needs a defensible attribution confidence level.","domain":"cybersecurity","path":"skills/analyzing-campaign-attribution-evidence"},{"name":"analyzing-certificate-transparency-for-phishing","description":"Monitor Certificate Transparency logs using crt.sh and Certstream to detect phishing domains, lookalike certificates, and unauthorized certificate issuance targeting your organization.","domain":"cybersecurity","path":"skills/analyzing-certificate-transparency-for-phishing"},{"name":"analyzing-cloud-storage-access-patterns","description":"Detect abnormal access in AWS S3, GCS, and Azure Blob Storage by analyzing CloudTrail Data Events, GCS audit logs, and Azure Storage Analytics for after-hours bulk downloads, new-IP access, and API-call spikes (e.g. GetObject) via statistical baselines and time-series anomaly detection. Use when investigating suspected cloud data exfiltration or building related detection rules.","domain":"cybersecurity","path":"skills/analyzing-cloud-storage-access-patterns"},{"name":"analyzing-cobalt-strike-beacon-configuration","description":"Extract and analyze Cobalt Strike beacon configuration from PE files and memory dumps to identify C2 infrastructure, malleable profiles, and operator tradecraft.","domain":"cybersecurity","path":"skills/analyzing-cobalt-strike-beacon-configuration"},{"name":"analyzing-cobaltstrike-malleable-c2-profiles","description":"Parse and analyze Cobalt Strike Malleable C2 profiles with dissect.cobaltstrike (profiles and beacon-payload configs) and pyMalleableC2 (AST parsing) to extract HTTP/DNS transforms, URIs, headers, sleep/jitter, and injection behavior, then generate network detection signatures. Use when reverse-engineering a captured malleable profile or building detections against Cobalt Strike Beacon traffic.","domain":"cybersecurity","path":"skills/analyzing-cobaltstrike-malleable-c2-profiles"},{"name":"analyzing-command-and-control-communication","description":"Analyzes malware C2 communication over HTTP, HTTPS, DNS, and custom protocols to reverse-engineer beacon patterns, command structures, data encoding, and infrastructure (primary servers, fallback domains, dead drops). Use after reverse engineering reveals network traffic needing protocol analysis or when building detection signatures for a framework like Cobalt Strike, Metasploit, or Sliver.","domain":"cybersecurity","path":"skills/analyzing-command-and-control-communication"},{"name":"analyzing-cyber-kill-chain","description":"Analyzes intrusion activity against the Lockheed Martin Cyber Kill Chain framework to identify which phases an adversary has completed, where defenses succeeded or failed, and what controls would have interrupted the attack at earlier phases. Use when conducting post-incident analysis, building prevention-focused security controls, or mapping detection gaps to kill chain phases. Activates for requests involving kill chain analysis, intrusion kill chain, attack phase mapping, or Lockheed Martin kill chain framework.","domain":"cybersecurity","path":"skills/analyzing-cyber-kill-chain"},{"name":"analyzing-disk-image-with-autopsy","description":"Perform comprehensive forensic analysis of raw (dd), E01, or AFF disk images with Autopsy and The Sleuth Kit, recovering deleted files, examining metadata and embedded artifacts, keyword searching, and building investigation timelines with visual reports. Use for structured analysis of a forensic disk image or when stakeholders need visual reports from evidence.","domain":"cybersecurity","path":"skills/analyzing-disk-image-with-autopsy"},{"name":"analyzing-dns-logs-for-exfiltration","description":"Analyzes DNS query logs to detect data exfiltration via DNS tunneling, DGA domain communication, and covert C2 channels using entropy analysis, query volume anomalies, and subdomain length detection in SIEM platforms. Use when SOC teams need to identify DNS-based threats that bypass traditional network security controls.","domain":"cybersecurity","path":"skills/analyzing-dns-logs-for-exfiltration"},{"name":"analyzing-docker-container-forensics","description":"Investigate compromised Docker containers by analyzing images, layers, volumes, logs, and runtime artifacts to identify malicious activity and evidence.","domain":"cybersecurity","path":"skills/analyzing-docker-container-forensics"},{"name":"analyzing-email-headers-for-phishing-investigation","description":"Parse and analyze email headers (Received chain, Return-Path, Message-ID) to trace the true origin of a phishing email and validate SPF, DKIM, and DMARC results to confirm or rule out sender spoofing. Use when triaging a suspicious or reported email, investigating a phishing incident, or verifying whether a message's sender domain was spoofed.","domain":"cybersecurity","path":"skills/analyzing-email-headers-for-phishing-investigation"},{"name":"analyzing-ethereum-smart-contract-vulnerabilities","description":"Perform static and symbolic analysis of Solidity smart contracts using Slither and Mythril to detect reentrancy, integer overflow, access control, and other vulnerability classes before deployment to Ethereum mainnet.","domain":"cybersecurity","path":"skills/analyzing-ethereum-smart-contract-vulnerabilities"},{"name":"analyzing-golang-malware-with-ghidra","description":"Reverse engineer Go-compiled malware in Ghidra by parsing Go buildinfo and pclntab structures, recovering stripped/obfuscated function names (e.g. via GoResolver), and extracting embedded module/dependency strings and types from Go binaries. Use when analyzing a Go-language malware sample, deobfuscating a garble-packed Go binary, or recovering function names and third-party dependencies from a stripped Go executable.","domain":"cybersecurity","path":"skills/analyzing-golang-malware-with-ghidra"},{"name":"analyzing-heap-spray-exploitation","description":"Detect and analyze heap spray attacks in memory dumps using Volatility3 plugins to identify NOP sled patterns, shellcode landing zones, and suspicious large allocations in process virtual address space.","domain":"cybersecurity","path":"skills/analyzing-heap-spray-exploitation"},{"name":"analyzing-indicators-of-compromise","description":"Analyzes indicators of compromise (IOCs) including IP addresses, domains, file hashes, URLs, and email artifacts to determine maliciousness confidence, campaign attribution, and blocking priority. Use when triaging IOCs from phishing emails, security alerts, or external threat feeds; enriching raw IOCs with multi-source intelligence; or making block/monitor/whitelist decisions. Activates for requests involving VirusTotal, AbuseIPDB, MalwareBazaar, MISP, or IOC enrichment pipelines.","domain":"cybersecurity","path":"skills/analyzing-indicators-of-compromise"},{"name":"analyzing-ios-app-security-with-objection","description":"Runtime iOS app security testing with Objection (Frida): inspect keychain and filesystem data, explore app internals at runtime, and validate/bypass client-side protections during authorized mobile assessments.","domain":"cybersecurity","path":"skills/analyzing-ios-app-security-with-objection"},{"name":"analyzing-kubernetes-audit-logs","description":"Parses Kubernetes API server audit logs (JSON lines) to detect exec-into-pod, secret access, RBAC modifications, privileged pod creation, and anonymous API access, and builds SIEM detection rules from the event patterns. Use when investigating a suspected cluster compromise, reconstructing what an attacker did through the API server, or writing Kubernetes-specific detection content. Keywords: audit policy, audit log, kube-apiserver, exec into pod, RBAC change, anonymous access, detection rules. Do not use for syscall-level detection inside a running container - use detecting-container-runtime-threats-with-falco. '","domain":"cybersecurity","path":"skills/analyzing-kubernetes-audit-logs"},{"name":"analyzing-linux-audit-logs-for-intrusion","description":"Uses the Linux Audit framework (auditd) with ausearch and aureport utilities to detect intrusion attempts, unauthorized access, privilege escalation, and suspicious system activity. Covers audit rule configuration, log querying, timeline reconstruction, and integration with SIEM platforms. Activates for requests involving auditd analysis, Linux audit log investigation, ausearch queries, aureport summaries, or host-based intrusion detection on Linux.","domain":"cybersecurity","path":"skills/analyzing-linux-audit-logs-for-intrusion"},{"name":"analyzing-linux-elf-malware","description":"Analyze malicious Linux ELF binaries \u2014 botnets, cryptominers, ransomware, and rootkits targeting Linux servers, containers, and cloud infrastructure \u2014 through static analysis, dynamic tracing, and reverse engineering of x86_64 and ARM samples. Use when investigating Linux malware, triaging a suspicious ELF binary, assessing a compromised Linux server, or analyzing container-targeted malware.","domain":"cybersecurity","path":"skills/analyzing-linux-elf-malware"},{"name":"analyzing-linux-kernel-rootkits","description":"Detect kernel-level rootkits in Linux memory dumps using Volatility3 linux plugins (check_syscall, lsmod, hidden_modules), rkhunter system scanning, and /proc vs /sys discrepancy analysis to identify hooked syscalls, hidden kernel modules, and tampered system structures.","domain":"cybersecurity","path":"skills/analyzing-linux-kernel-rootkits"},{"name":"analyzing-linux-system-artifacts","description":"Examine Linux system artifacts (auth logs, cron/systemd persistence, shell history, SSH keys, and system configuration) to uncover evidence of compromise, detect rootkits or backdoors, and reconstruct user/attacker activity. Use when investigating a compromised Linux server or workstation, hunting for persistence mechanisms, or scoping a Linux-based breach during incident response.","domain":"cybersecurity","path":"skills/analyzing-linux-system-artifacts"},{"name":"analyzing-lnk-file-and-jump-list-artifacts","description":"Analyze Windows LNK shortcut files and Jump List artifacts with LECmd, JLECmd, and manual Shell Link Binary Format parsing to establish evidence of file access, program execution, and user activity that persists even after the target file is deleted. Use when investigating Windows user activity, reconstructing file-access or program-execution timelines, or examining recent/frequently-used file evidence in a forensic exam.","domain":"cybersecurity","path":"skills/analyzing-lnk-file-and-jump-list-artifacts"},{"name":"analyzing-macro-malware-in-office-documents","description":"Analyzes malicious VBA macros embedded in Microsoft Office documents (Word, Excel, PowerPoint) to identify download cradles, payload execution, persistence mechanisms, and anti-analysis techniques. Uses olevba, oledump, and VBA deobfuscation to extract the attack chain. Activates for requests involving Office macro analysis, VBA malware investigation, maldoc analysis, or document-based threat examination.","domain":"cybersecurity","path":"skills/analyzing-macro-malware-in-office-documents"},{"name":"analyzing-malicious-pdf-with-peepdf","description":"Perform static analysis of malicious PDF documents using peepdf, pdfid, and pdf-parser to extract embedded JavaScript, shellcode, and suspicious objects. Use when triaging a suspicious PDF attachment from a phishing email, analyzing a PDF-based exploit document, or building detection signatures for weaponized PDF threats.","domain":"cybersecurity","path":"skills/analyzing-malicious-pdf-with-peepdf"},{"name":"analyzing-malicious-url-with-urlscan","description":"URLScan.io is a free service for scanning and analyzing suspicious URLs. It captures screenshots, DOM content, HTTP transactions, JavaScript behavior, and network connections of web pages in an isolat","domain":"cybersecurity","path":"skills/analyzing-malicious-url-with-urlscan"},{"name":"analyzing-malware-behavior-with-cuckoo-sandbox","description":"Detonate malware samples in Cuckoo Sandbox to observe runtime behavior \u2014 process creation, file system and registry changes, network communications, and API calls \u2014 and generate behavioral reports for classification and IOC extraction. Use when a sample has passed static triage and needs dynamic/behavioral analysis, when mapping a full infection chain, or when building YARA/behavioral signatures from observed sandbox activity.","domain":"cybersecurity","path":"skills/analyzing-malware-behavior-with-cuckoo-sandbox"},{"name":"analyzing-malware-family-relationships-with-malpedia","description":"Query the Malpedia API to look up malware family aliases and naming (platform.family_name), pull community/vendor YARA rules, link families to threat actors, and map family relationships such as loader-payload chains and shared authorship. Use when researching a malware family's aliases, lineage, or actor attribution, or when sourcing YARA rules for detection.","domain":"cybersecurity","path":"skills/analyzing-malware-family-relationships-with-malpedia"},{"name":"analyzing-malware-persistence-with-autoruns","description":"Use Sysinternals Autoruns to systematically enumerate and analyze malware persistence mechanisms across Windows registry run keys, scheduled tasks, services, drivers, and startup locations. Use when hunting for persistence during Windows incident response, triaging a compromised endpoint, or validating that malware autostart entries have been fully identified and removed.","domain":"cybersecurity","path":"skills/analyzing-malware-persistence-with-autoruns"},{"name":"analyzing-malware-sandbox-evasion-techniques","description":"Detect sandbox and VM evasion techniques in malware samples by analyzing timing checks, VM/hypervisor artifact queries, user-interaction checks, and sleep-inflation patterns from Cuckoo or AnyRun behavioral reports. Use when a sample shows no or minimal activity in a sandbox, when a behavioral report needs review for evasion indicators, or when building detections for anti-analysis techniques.","domain":"cybersecurity","path":"skills/analyzing-malware-sandbox-evasion-techniques"},{"name":"analyzing-memory-dumps-with-volatility","description":"Analyzes RAM memory dumps from compromised systems using the Volatility framework to identify malicious processes, injected code, network connections, loaded modules, and extracted credentials. Supports Windows, Linux, and macOS memory forensics. Activates for requests involving memory forensics, RAM analysis, volatile data examination, process injection detection, or memory-resident malware investigation.","domain":"cybersecurity","path":"skills/analyzing-memory-dumps-with-volatility"},{"name":"analyzing-memory-forensics-with-lime-and-volatility","description":"Performs Linux memory acquisition using LiME (Linux Memory Extractor) kernel module and analysis with Volatility 3 framework. Extracts process lists, network connections, bash history, loaded kernel modules, and injected code from Linux memory images. Use when performing incident response on compromised Linux systems.","domain":"cybersecurity","path":"skills/analyzing-memory-forensics-with-lime-and-volatility"},{"name":"analyzing-mft-for-deleted-file-recovery","description":"Analyze the NTFS Master File Table ($MFT) with MFTECmd, analyzeMFT, and X-Ways Forensics to recover metadata and content of deleted files by examining MFT record entries, $LogFile, $UsnJrnl, and MFT slack space. Use when recovering evidence of deleted files, reconstructing NTFS file-system timelines, or detecting anti-forensic timestomping during a Windows forensic examination.","domain":"cybersecurity","path":"skills/analyzing-mft-for-deleted-file-recovery"},{"name":"analyzing-network-covert-channels-in-malware","description":"Detect and analyze covert communication channels used by malware, including DNS tunneling, ICMP exfiltration, steganographic HTTP, and other protocol abuse used for C2 and data exfiltration. Use when investigating suspicious DNS/ICMP/HTTP traffic patterns, hunting for hidden C2 channels in network captures, or attributing exfiltration traffic to a known tunneling toolset.","domain":"cybersecurity","path":"skills/analyzing-network-covert-channels-in-malware"},{"name":"analyzing-network-flow-data-with-netflow","description":"Parse NetFlow v9 and IPFIX records to detect volumetric anomalies, port scanning, data exfiltration, and C2 beaconing patterns. Uses the Python netflow library to decode flow records, builds traffic baselines, and applies statistical analysis to identify flows with abnormal byte counts, connection durations, and periodic timing patterns.","domain":"cybersecurity","path":"skills/analyzing-network-flow-data-with-netflow"},{"name":"analyzing-network-packets-with-scapy","description":"Use Scapy to craft, send, sniff, and dissect TCP/UDP/ICMP/DNS packets, analyze pcap files, implement SYN scans, and detect anomalous traffic such as fragmented or malformed packets. Use when performing authorized network reconnaissance, protocol-level forensic analysis, or building traffic anomaly detection during security testing.","domain":"cybersecurity","path":"skills/analyzing-network-packets-with-scapy"},{"name":"analyzing-network-traffic-for-incidents","description":"Analyzes network traffic captures and flow data to identify adversary activity during security incidents, including command-and-control communications, lateral movement, data exfiltration, and exploitation attempts. Uses Wireshark, Zeek, and NetFlow analysis techniques. Activates for requests involving network traffic analysis, packet capture investigation, PCAP analysis, network forensics, C2 traffic detection, or exfiltration detection.","domain":"cybersecurity","path":"skills/analyzing-network-traffic-for-incidents"},{"name":"analyzing-network-traffic-of-malware","description":"Analyzes network traffic generated by malware during sandbox execution or live incident response to identify C2 protocols, data exfiltration channels, payload downloads, and lateral movement patterns using Wireshark, Zeek, and Suricata. Activates for requests involving malware network analysis, C2 traffic decoding, malware PCAP analysis, or network-based malware detection.","domain":"cybersecurity","path":"skills/analyzing-network-traffic-of-malware"},{"name":"analyzing-network-traffic-with-wireshark","description":"Captures and analyzes network packet data using Wireshark and tshark to identify malicious traffic patterns, diagnose protocol issues, extract artifacts, and support incident response investigations on authorized network segments.","domain":"cybersecurity","path":"skills/analyzing-network-traffic-with-wireshark"},{"name":"analyzing-office365-audit-logs-for-compromise","description":"Parse Office 365 Unified Audit Logs via Microsoft Graph API to detect email forwarding rule creation, inbox delegation, suspicious OAuth app grants, and other indicators of account compromise.","domain":"cybersecurity","path":"skills/analyzing-office365-audit-logs-for-compromise"},{"name":"analyzing-outlook-pst-for-email-forensics","description":"Parse Microsoft Outlook PST and OST files using libpff and pst-utils to extract message content, headers, attachments, deleted items, and MAPI metadata, including recovery of items from the Recoverable Items folder. Use when conducting email forensic investigations, legal e-discovery, or incident response that requires reconstructing communication patterns or tracing message routing from Outlook archives.","domain":"cybersecurity","path":"skills/analyzing-outlook-pst-for-email-forensics"},{"name":"analyzing-packed-malware-with-upx-unpacker","description":"Identifies and unpacks UPX-packed malware samples, including binaries with modified UPX magic bytes or headers that block automated decompression, to recover the original executable for static analysis. Use when a sample shows high entropy, minimal imports, or only LoadLibrary/GetProcAddress in its import table, or when preparing a packed binary for disassembly in Ghidra or IDA.","domain":"cybersecurity","path":"skills/analyzing-packed-malware-with-upx-unpacker"},{"name":"analyzing-pdf-malware-with-pdfid","description":"Analyzes malicious PDF files using PDFiD, pdf-parser, and peepdf to identify embedded JavaScript, shellcode, exploits, and suspicious objects without opening the document. Determines the attack vector and extracts embedded payloads for further analysis. Activates for requests involving PDF malware analysis, malicious document analysis, PDF exploit investigation, or suspicious attachment triage.","domain":"cybersecurity","path":"skills/analyzing-pdf-malware-with-pdfid"},{"name":"analyzing-persistence-mechanisms-in-linux","description":"Scan Linux systems for persistence mechanisms including crontab/systemd entries, LD_PRELOAD injection, shell profile modifications (.bashrc, .profile), and SSH authorized_keys backdoors, then correlate findings with auditd logs into an installation timeline. Use during incident response or threat hunting to detect or confirm how an adversary maintained access to a compromised Linux host.","domain":"cybersecurity","path":"skills/analyzing-persistence-mechanisms-in-linux"},{"name":"analyzing-powershell-empire-artifacts","description":"Detect PowerShell Empire post-exploitation framework artifacts in Windows Script Block Logging (Event ID 4104) and Module Logging (Event ID 4103), including the default launcher string, Base64-encoded WebClient/FromBase64String payloads, known module invocations (Invoke-Mimikatz, Invoke-Kerberoast), and staging URL patterns. Use when hunting for or confirming Empire C2 activity in Windows event logs.","domain":"cybersecurity","path":"skills/analyzing-powershell-empire-artifacts"},{"name":"analyzing-powershell-script-block-logging","description":"Parse Windows PowerShell Script Block Logs (Event ID 4104) from EVTX files to detect obfuscated commands, encoded payloads, and living-off-the-land techniques. Uses python-evtx to extract and reconstruct multi-block scripts, applies entropy analysis and pattern matching for Base64-encoded commands, Invoke-Expression abuse, download cradles, and AMSI bypass attempts.","domain":"cybersecurity","path":"skills/analyzing-powershell-script-block-logging"},{"name":"analyzing-prefetch-files-for-execution-history","description":"Parse Windows Prefetch files (versions 17, 23, 26, 30) with tools like PECmd, WinPrefetchView, or python-prefetch to determine program execution history, including run counts, execution timestamps, and referenced files/DLLs. Use when building a timeline of program execution on a Windows system, confirming whether a suspicious binary ran, or correlating execution evidence with other forensic artifacts during an investigation.","domain":"cybersecurity","path":"skills/analyzing-prefetch-files-for-execution-history"},{"name":"analyzing-ransomware-encryption-mechanisms","description":"Analyzes encryption algorithms, key management, and file encryption routines used by ransomware families to assess decryption feasibility, identify implementation weaknesses, and support recovery efforts. Covers AES, RSA, ChaCha20, and hybrid encryption schemes. Activates for requests involving ransomware cryptanalysis, encryption analysis, key recovery assessment, or ransomware decryption feasibility.","domain":"cybersecurity","path":"skills/analyzing-ransomware-encryption-mechanisms"},{"name":"analyzing-ransomware-leak-site-intelligence","description":"Safely monitor ransomware group Tor-hosted data leak sites (DLS) to collect and extract structured victim posting data, track group activity trends over time, and produce sector- and geography-specific ransomware risk assessments. Use when performing threat intelligence gathering on active ransomware groups or building proactive defense reporting from double-extortion leak-site activity.","domain":"cybersecurity","path":"skills/analyzing-ransomware-leak-site-intelligence"},{"name":"analyzing-ransomware-network-indicators","description":"Identify ransomware-related network indicators, including C2 beaconing patterns, TOR exit node connections, data exfiltration flows, and encryption key exchange, by analyzing Zeek conn.log and NetFlow data. Use when threat hunting for active ransomware network activity or investigating suspected pre-encryption exfiltration during incident response.","domain":"cybersecurity","path":"skills/analyzing-ransomware-network-indicators"},{"name":"analyzing-ransomware-payment-wallets","description":"Traces ransomware cryptocurrency payment flows using blockchain analysis tools such as Chainalysis Reactor, WalletExplorer, and blockchain.com APIs, identifying wallet clusters and tracking fund movement through mixers and exchanges to support law enforcement attribution. Use when tracing ransomware bitcoin payments, performing cryptocurrency wallet forensics, or gathering blockchain threat intelligence on extortion payments.","domain":"cybersecurity","path":"skills/analyzing-ransomware-payment-wallets"},{"name":"analyzing-sbom-for-supply-chain-vulnerabilities","description":"Parses Software Bill of Materials (SBOM) in CycloneDX and SPDX JSON formats to identify supply chain vulnerabilities by correlating components against the NVD CVE database via the NVD 2.0 API. Builds dependency graphs, calculates risk scores, identifies transitive vulnerability paths, and generates compliance reports. Activates for requests involving SBOM analysis, software composition analysis, supply chain security assessment, dependency vulnerability scanning, CycloneDX/SPDX parsing, or CVE correlation.","domain":"cybersecurity","path":"skills/analyzing-sbom-for-supply-chain-vulnerabilities"},{"name":"analyzing-security-logs-with-splunk","description":"Leverages Splunk Enterprise Security and SPL (Search Processing Language) to investigate security incidents through log correlation, timeline reconstruction, and anomaly detection. Covers Windows event logs, firewall logs, proxy logs, and authentication data analysis. Activates for requests involving Splunk investigation, SPL queries, SIEM log analysis, security event correlation, or log-based incident investigation.","domain":"cybersecurity","path":"skills/analyzing-security-logs-with-splunk"},{"name":"analyzing-slack-space-and-file-system-artifacts","description":"Examine NTFS slack space, MFT entries, the USN Change Journal, and Alternate Data Streams (ADS) to recover hidden or residual data, reconstruct deleted-file metadata, and reconstruct available file-system change activity from USN records. Use during deep forensic analysis of an NTFS image when standard file recovery is insufficient, such as hunting for data hidden in ADS.","domain":"cybersecurity","path":"skills/analyzing-slack-space-and-file-system-artifacts"},{"name":"analyzing-supply-chain-malware-artifacts","description":"Investigate supply chain attack artifacts including trojanized software updates, compromised build pipelines, and sideloaded dependencies to identify intrusion vectors and scope of compromise.","domain":"cybersecurity","path":"skills/analyzing-supply-chain-malware-artifacts"},{"name":"analyzing-threat-actor-ttps-with-mitre-attack","description":"Systematically map threat actor behavior and observed IOCs to the MITRE ATT&CK framework, build technique coverage heatmaps with the ATT&CK Navigator, identify detection gaps, and produce actionable threat intelligence reports across the Enterprise, Mobile, and ICS matrices. Use when analyzing threat actor TTPs, correlating IOCs to specific ATT&CK techniques, or assessing defensive detection coverage against adversary behavior.","domain":"cybersecurity","path":"skills/analyzing-threat-actor-ttps-with-mitre-attack"},{"name":"analyzing-threat-actor-ttps-with-mitre-navigator","description":"Map advanced persistent threat (APT) group TTPs to the MITRE ATT&CK framework using the attackcti Python library to query STIX/TAXII data for group-technique associations, then generate ATT&CK Navigator layer files to visualize and compare defensive coverage against adversary profiles. Use when profiling an APT group's techniques, building Navigator coverage heatmaps, or assessing technique coverage gaps against a specific threat actor.","domain":"cybersecurity","path":"skills/analyzing-threat-actor-ttps-with-mitre-navigator"},{"name":"analyzing-threat-intelligence-feeds","description":"Analyzes structured and unstructured threat intelligence feeds to extract actionable indicators, adversary tactics, and campaign context. Use when ingesting commercial or open-source CTI feeds, evaluating feed quality, normalizing data into STIX 2.1 format, or enriching existing IOCs with campaign attribution. Activates for requests involving ThreatConnect, Recorded Future, Mandiant Advantage, MISP, AlienVault OTX, or automated feed aggregation pipelines.","domain":"cybersecurity","path":"skills/analyzing-threat-intelligence-feeds"},{"name":"analyzing-threat-landscape-with-misp","description":"Query a MISP (Malware Information Sharing Platform) instance via PyMISP to compute event statistics, IOC type breakdowns, threat actor galaxy clusters, and tag trends, and generate threat landscape reports with temporal trends. Use when asked to analyze threat intelligence data, summarize top threat actors or malware families, or produce a CTI landscape report from MISP events.","domain":"cybersecurity","path":"skills/analyzing-threat-landscape-with-misp"},{"name":"analyzing-tls-certificate-transparency-logs","description":"Queries Certificate Transparency logs via crt.sh and pycrtsh to detect phishing domains, unauthorized certificate issuance, and shadow IT. Monitors newly issued certificates for typosquatting and brand impersonation using Levenshtein distance. Use for proactive phishing domain detection and certificate monitoring.","domain":"cybersecurity","path":"skills/analyzing-tls-certificate-transparency-logs"},{"name":"analyzing-typosquatting-domains-with-dnstwist","description":"Generate domain permutations with dnstwist and check DNS resolution to detect typosquatting, homograph phishing, and brand impersonation domains registered against your organization. Use when asked to monitor for lookalike domains, investigate a phishing domain, or assess brand-impersonation risk.","domain":"cybersecurity","path":"skills/analyzing-typosquatting-domains-with-dnstwist"},{"name":"analyzing-uefi-bootkit-persistence","description":"Analyzes UEFI bootkit persistence (SPI flash implants, ESP modifications, Secure Boot bypass, UEFI variable manipulation) using chipsec for firmware integrity verification, detecting known families like BlackLotus, LoJax, and MoonBounce. Use for UEFI malware analysis, firmware persistence investigation, or Secure Boot bypass detection.","domain":"cybersecurity","path":"skills/analyzing-uefi-bootkit-persistence"},{"name":"analyzing-usb-device-connection-history","description":"Correlate Windows registry keys (USBSTOR, MountedDevices), Event Logs, and setupapi.dev.log to reconstruct USB device connection history, first/last-plugged timestamps, and drive letter mappings. Use when investigating removable media usage, tracking device provenance, or building a timeline for suspected data exfiltration.","domain":"cybersecurity","path":"skills/analyzing-usb-device-connection-history"},{"name":"analyzing-web-server-logs-for-intrusion","description":"Parse Apache and Nginx access logs to detect SQL injection attempts, local file inclusion, directory traversal, web scanner fingerprints, and brute-force patterns. Uses regex-based pattern matching against OWASP attack signatures, GeoIP enrichment for source attribution, and statistical anomaly detection for request frequency and response size outliers.","domain":"cybersecurity","path":"skills/analyzing-web-server-logs-for-intrusion"},{"name":"analyzing-windows-amcache-artifacts","description":"Parses the Windows Amcache.hve registry hive with Eric Zimmerman's AmcacheParser and Timeline Explorer to extract evidence of program execution, application installation, and driver loading, including SHA-1 hash correlation with threat intel and timeline reconstruction. Use for Amcache forensics, program execution evidence gathering, or application compatibility cache investigations in DFIR work.","domain":"cybersecurity","path":"skills/analyzing-windows-amcache-artifacts"},{"name":"analyzing-windows-event-logs-in-splunk","description":"Analyzes Windows Security, System, and Sysmon event logs in Splunk to detect authentication attacks, privilege escalation, persistence mechanisms, and lateral movement using SPL queries mapped to MITRE ATT&CK techniques. Use when SOC analysts need to investigate Windows-based threats, build detection queries, or perform forensic timeline analysis of Windows endpoints and domain controllers.","domain":"cybersecurity","path":"skills/analyzing-windows-event-logs-in-splunk"},{"name":"analyzing-windows-lnk-files-for-artifacts","description":"Parse Windows LNK shortcut files to extract target paths, MAC timestamps, volume serial numbers, and machine identifiers for forensic timeline reconstruction. Use when investigating recently-accessed files, tracking removable media or network paths referenced by shortcuts, or building a DFIR timeline from LNK artifacts.","domain":"cybersecurity","path":"skills/analyzing-windows-lnk-files-for-artifacts"},{"name":"analyzing-windows-prefetch-with-python","description":"Parse Windows Prefetch (.pf) files with the windowsprefetch Python library to reconstruct application execution history, run counts, and accessed file/volume lists. Use when investigating renamed or masquerading binaries, verifying program execution timelines, or hunting for suspicious execution patterns in incident response.","domain":"cybersecurity","path":"skills/analyzing-windows-prefetch-with-python"},{"name":"analyzing-windows-registry-for-artifacts","description":"Extract and analyze Windows Registry hives with tools like RegRipper and Registry Explorer to uncover user activity, installed software, autostart/persistence entries, and evidence of system compromise. Use when investigating registry-based persistence, reconstructing user or system activity, or performing DFIR triage on a Windows image.","domain":"cybersecurity","path":"skills/analyzing-windows-registry-for-artifacts"},{"name":"analyzing-windows-shellbag-artifacts","description":"Analyze Windows Shellbag (BagMRU) registry artifacts with SBECmd and Shellbags Explorer to reconstruct folder browsing activity and prove user interaction with directories, including removable media and network shares, even after the folders are deleted. Use when reconstructing a user's folder access history or proving access to a since-removed directory in DFIR work.","domain":"cybersecurity","path":"skills/analyzing-windows-shellbag-artifacts"},{"name":"assessing-vector-and-embedding-weaknesses","description":"Test RAG vector stores (Pinecone, Qdrant, Weaviate, Chroma, pgvector, FAISS) for embedding inversion, cross-tenant data leakage, and data poisoning per OWASP LLM08:2025. Use when performing an authorized security assessment of a RAG pipeline's retrieval layer or auditing multi-tenant vector-store isolation.","domain":"cybersecurity","path":"skills/assessing-vector-and-embedding-weaknesses"},{"name":"attacking-entra-id-with-roadtools","description":"Enumerate Microsoft Entra ID (Azure AD) tenants with ROADrecon and acquire, exchange, and abuse tokens (including primary refresh tokens) with roadtx. Use for authorized red-team enumeration of a tenant's directory objects or for token-based identity attacks against Entra ID you are explicitly authorized to test.","domain":"cybersecurity","path":"skills/attacking-entra-id-with-roadtools"},{"name":"attacking-oauth-with-device-code-phishing","description":"Run OAuth 2.0 device-code and illicit-consent phishing attacks against Microsoft Entra ID, using TokenTactics-style tooling to steal access and refresh tokens, bypass MFA, and pivot across Microsoft 365 services. Use for authorized red-team engagements simulating device-code or consent-grant phishing against a tenant you have explicit written permission to test.","domain":"cybersecurity","path":"skills/attacking-oauth-with-device-code-phishing"},{"name":"auditing-aws-s3-bucket-permissions","description":"Systematically audit AWS S3 bucket permissions to identify publicly accessible buckets, overly permissive ACLs, misconfigured bucket policies, and missing encryption settings using AWS CLI, S3audit, and Prowler to enforce least-privilege data access controls.","domain":"cybersecurity","path":"skills/auditing-aws-s3-bucket-permissions"},{"name":"auditing-azure-active-directory-configuration","description":"Auditing Microsoft Entra ID (Azure Active Directory) configuration to identify risky authentication policies, overly permissive role assignments, stale accounts, conditional access gaps, and guest user risks using AzureAD PowerShell, Microsoft Graph API, and ScoutSuite.","domain":"cybersecurity","path":"skills/auditing-azure-active-directory-configuration"},{"name":"auditing-cloud-with-cis-benchmarks","description":"Audit AWS, Azure, and GCP environments against the CIS Foundations Benchmarks by running automated scans with tools like Prowler and ScoutSuite, interpreting failed controls, and tracking remediation for continuous compliance. Use when conducting a cloud security audit, validating CIS benchmark compliance (CIS v5 AWS, v4 Azure, v4 GCP), or setting up continuous cloud compliance monitoring.","domain":"cybersecurity","path":"skills/auditing-cloud-with-cis-benchmarks"},{"name":"auditing-entra-id-with-aadinternals","description":"Drive the AADInternals PowerShell toolkit to perform Microsoft Entra ID tenant reconnaissance, access-token acquisition across Microsoft APIs, and federation/AD FS backdoor testing (Golden SAML, T1606.002) for defensive validation. Use during an authorized Entra ID/Microsoft 365 red-team assessment to map external attack surface or verify AD FS signing certs resist Golden SAML.","domain":"cybersecurity","path":"skills/auditing-entra-id-with-aadinternals"},{"name":"auditing-foundry-smart-contract-security","description":"Pre-deployment security audit of Solidity smart contracts in a Foundry project. Combines static analysis (Slither, Aderyn), symbolic execution (Mythril), and property-based testing (forge fuzz + invariant tests with handlers) to catch reentrancy, access-control, oracle/price manipulation, and arithmetic bugs BEFORE deploying to an EVM chain. Also enforces key hygiene (no plaintext private keys, encrypted cast keystore) and a secure deploy workflow. Use when writing, reviewing, testing, or deploying Solidity/Foundry contracts, building a dApp, or working with forge/cast/anvil, MetaMask, or Web3/DeFi code.","domain":"cybersecurity","path":"skills/auditing-foundry-smart-contract-security"},{"name":"auditing-gcp-iam-permissions","description":"Auditing Google Cloud Platform IAM permissions to identify overly permissive bindings, primitive role usage, service account key proliferation, and cross-project access risks using gcloud CLI, Policy Analyzer, and IAM Recommender.","domain":"cybersecurity","path":"skills/auditing-gcp-iam-permissions"},{"name":"auditing-kubernetes-cluster-rbac","description":"Auditing Kubernetes cluster RBAC configurations to identify overly permissive roles, wildcard permissions, dangerous ClusterRoleBindings, service account abuse, and privilege escalation paths using kubectl, rbac-tool, KubiScan, and Kubeaudit.","domain":"cybersecurity","path":"skills/auditing-kubernetes-cluster-rbac"},{"name":"auditing-kubernetes-rbac-privilege-escalation","description":"Finds over-permissive RBAC roles and service-account token abuse paths in a Kubernetes cluster using kubectl auth can-i, rbac-police, kubectl-who-can, and rakkess, tracing which subjects can escalate toward cluster-admin. Use when reviewing who can escalate privileges in a cluster, hunting exploitable RoleBindings during an authorized review, or validating least privilege after an RBAC change. Keywords: RBAC, ClusterRoleBinding, service account token, auth can-i, rbac-police, escalate, bind, impersonate. Do not use for designing and applying hardened RBAC - use implementing-rbac-hardening-for-kubernetes.","domain":"cybersecurity","path":"skills/auditing-kubernetes-rbac-privilege-escalation"},{"name":"auditing-mcp-servers-for-tool-poisoning","description":"Audit MCP servers for tool poisoning, tool shadowing, rug pulls, SSRF, and unauthenticated exposure using Invariant Labs' mcp-scan for static/runtime scanning plus manual SSRF/auth checks and description pinning. Use before adding a new MCP server to an agent stack, when reviewing an internal MCP server, detecting rug pulls, or investigating an agent's unexpected tool-driven behavior.","domain":"cybersecurity","path":"skills/auditing-mcp-servers-for-tool-poisoning"},{"name":"auditing-terraform-infrastructure-for-security","description":"Auditing Terraform infrastructure-as-code for security misconfigurations using Checkov, tfsec, Terrascan, and OPA/Rego policies to detect overly permissive IAM policies, public resource exposure, missing encryption, and insecure defaults before cloud deployment.","domain":"cybersecurity","path":"skills/auditing-terraform-infrastructure-for-security"},{"name":"auditing-tls-certificate-transparency-logs","description":"Monitors Certificate Transparency (CT) logs to detect unauthorized certificate issuance, discover subdomains via CT data, and alert on suspicious certificate activity for owned domains. Uses the crt.sh API and direct CT log querying based on RFC 6962 to build continuous monitoring pipelines that catch rogue certificates, track CA behavior, and map the external attack surface. Activates for requests involving certificate transparency monitoring, CT log auditing, subdomain discovery via certificates, or certificate issuance alerting.","domain":"cybersecurity","path":"skills/auditing-tls-certificate-transparency-logs"},{"name":"auditing-uefi-firmware-with-chipsec","description":"Use Intel CHIPSEC to assess platform firmware configuration, SPI flash write protection, BIOS lock, SMM/SMRR, and Secure Boot variable state, dump SPI flash, and triage UEFI variables for firmware-level threats.","domain":"cybersecurity","path":"skills/auditing-uefi-firmware-with-chipsec"},{"name":"automating-ioc-enrichment","description":"Automates the enrichment of raw indicators of compromise with multi-source threat intelligence context using SOAR platforms, Python pipelines, or TIP playbooks to reduce analyst triage time and standardize enrichment outputs. Use when building automated enrichment workflows integrated with SIEM alerts, email submission pipelines, or bulk IOC processing from threat feeds. Activates for requests involving SOAR enrichment, Cortex XSOAR, Splunk SOAR, TheHive, Python enrichment pipelines, or automated IOC processing.","domain":"cybersecurity","path":"skills/automating-ioc-enrichment"},{"name":"benchmarking-kubernetes-with-kube-bench","description":"Installs and runs the kube-bench tool against a Kubernetes cluster as a Job, DaemonSet, or standalone binary, selecting the correct benchmark version and targets (control plane, etcd, kubelet, worker nodes) and emitting JSON or JUnit output for pipelines. Use when setting kube-bench up for the first time, choosing which benchmark version and node targets to run, wiring it into CI, or troubleshooting skipped or misdetected checks. Keywords: kube-bench, DaemonSet, --benchmark, --targets, JSON output, JUnit, CI integration. Do not use for interpreting the findings or producing an audit report - use performing-kubernetes-cis-benchmark-with-kube-bench.","domain":"cybersecurity","path":"skills/benchmarking-kubernetes-with-kube-bench"},{"name":"building-adversary-infrastructure-tracking-system","description":"Build an automated adversary infrastructure tracking system in Python (dnspython, python-whois, shodan, networkx) that pivots across passive DNS, certificate transparency logs, WHOIS records, and IP enrichment to map threat-actor C2 networks and flag newly registered domains matching known patterns. Use when pivoting from known indicators to discover related C2 infrastructure or maintaining a continuously updated map of a threat actor's network.","domain":"cybersecurity","path":"skills/building-adversary-infrastructure-tracking-system"},{"name":"building-attack-pattern-library-from-cti-reports","description":"Parse cyber threat intelligence reports (Mandiant, CrowdStrike, Talos, Microsoft) with stix2, mitreattack-python, and spaCy to extract adversary behaviors, map them to MITRE ATT&CK technique IDs, and build a searchable STIX 2.1 attack-pattern library with detection templates. Use when cataloging attack patterns from CTI reports for threat-informed detection engineering, or generating Sigma/YARA templates from documented behaviors.","domain":"cybersecurity","path":"skills/building-attack-pattern-library-from-cti-reports"},{"name":"building-automated-malware-submission-pipeline","description":"Builds an automated malware submission and analysis pipeline that collects suspicious files from endpoints and email gateways, submits them to sandbox environments and multi-engine scanners, and generates verdicts with IOCs for SIEM integration. Use when SOC teams need to scale malware analysis beyond manual sandbox submissions for high-volume alert triage.","domain":"cybersecurity","path":"skills/building-automated-malware-submission-pipeline"},{"name":"building-c2-infrastructure-with-sliver-framework","description":"Deploy and harden a Sliver C2 team server (BishopFox's Go-based adversary emulation framework) with multi-protocol listeners (mTLS, HTTP/S, DNS, WireGuard), redirectors, domain fronting, and multi-operator support for authorized red-team operations. Use when standing up resilient C2 for a red-team engagement or generating beacon/session implants that must survive blue-team detection.","domain":"cybersecurity","path":"skills/building-c2-infrastructure-with-sliver-framework"},{"name":"building-c2-redirector-infrastructure","description":"Build dumb-pipe and traffic-filtering C2 redirectors with nginx (proxy_pass) and Apache (mod_rewrite), deriving filter rules from a Malleable C2 profile, layering Let's Encrypt TLS, and applying OPSEC controls like domain fronting and UA/geo filtering. Use when standing up red-team C2 that must survive blue-team triage or ensuring only profile-matching implant traffic reaches the hidden team server.","domain":"cybersecurity","path":"skills/building-c2-redirector-infrastructure"},{"name":"building-cloud-siem-with-sentinel","description":"Deploy Microsoft Sentinel as a cloud-native SIEM/SOAR by configuring multi-cloud data connectors (AWS, Azure, GCP), writing KQL detection and hunting queries, and building automated Logic Apps response playbooks. Use when establishing a centralized SOC for multi-cloud environments, migrating from a legacy SIEM, or performing petabyte-scale threat hunting; not for AWS-only setups where Security Hub/GuardDuty suffice or for endpoint EDR needs.","domain":"cybersecurity","path":"skills/building-cloud-siem-with-sentinel"},{"name":"building-detection-rule-with-splunk-spl","description":"Build effective detection rules using Splunk Search Processing Language (SPL) correlation searches to identify security threats in SOC environments.","domain":"cybersecurity","path":"skills/building-detection-rule-with-splunk-spl"},{"name":"building-detection-rules-with-sigma","description":"Builds vendor-agnostic detection rules using the Sigma rule format for threat detection across SIEM platforms including Splunk, Elastic, and Microsoft Sentinel. Use when creating portable detection logic from threat intelligence, mapping rules to MITRE ATT&CK techniques, or converting community Sigma rules into platform-specific queries using sigmac or pySigma backends.","domain":"cybersecurity","path":"skills/building-detection-rules-with-sigma"},{"name":"building-devsecops-pipeline-with-gitlab-ci","description":"Configure a GitLab CI/CD pipeline that embeds SAST (Semgrep, SpotBugs, Gosec, Bandit, NodeJsScan), DAST, container scanning, dependency scanning, and secret detection via GitLab's managed security templates. Use when building a shift-left DevSecOps pipeline in GitLab, adding automated vulnerability scanning stages to .gitlab-ci.yml, or triaging scanner findings with GitLab Duo AI before deployment.","domain":"cybersecurity","path":"skills/building-devsecops-pipeline-with-gitlab-ci"},{"name":"building-identity-federation-with-saml-azure-ad","description":"Configure SAML 2.0 identity federation between on-premises Active Directory (via AD FS or a third-party IdP) and Microsoft Entra ID, covering federation models (AD FS, password hash sync, pass-through auth, third-party IdP) and the SAML authentication flow. Use when extending on-premises authentication authority to cloud resources or designing hybrid identity SSO architecture for Entra ID.","domain":"cybersecurity","path":"skills/building-identity-federation-with-saml-azure-ad"},{"name":"building-identity-governance-lifecycle-process","description":"Design identity governance and lifecycle (IGA) programs on platforms like SailPoint, Saviynt, or Entra ID Governance, covering joiner-mover-leaver (JML) automation, role mining, access requests, periodic recertification, and orphaned-account remediation sourced from an HR feed. Use when automating cross-system JML provisioning, remediating former-employee access, or building lifecycle processes for SOX, HIPAA, or GDPR compliance.","domain":"cybersecurity","path":"skills/building-identity-governance-lifecycle-process"},{"name":"building-incident-response-dashboard","description":"Builds real-time incident response dashboards in Splunk, Elastic, or Grafana to provide SOC analysts and leadership with situational awareness during active incidents, tracking affected systems, containment status, IOC spread, and response timeline. Use when IR teams need unified visibility during incident coordination and post-incident reporting.","domain":"cybersecurity","path":"skills/building-incident-response-dashboard"},{"name":"building-incident-response-playbook","description":"Designs and documents structured incident response playbooks with step-by-step procedures per incident type, decision trees, escalation criteria, RACI matrices, and SOAR platform integration, aligned to NIST SP 800-61r3 and SANS PICERL. Use when creating or maturing an IR program, documenting response runbooks for a new incident type, or designing SOAR playbooks.","domain":"cybersecurity","path":"skills/building-incident-response-playbook"},{"name":"building-incident-timeline-with-timesketch","description":"Build collaborative forensic incident timelines using Timesketch to ingest, normalize, and analyze multi-source event data (including Plaso output) for attack chain reconstruction and investigation documentation. Use when reconstructing the sequence of events during an incident investigation or when multiple analysts need to jointly tag, annotate, and search a shared DFIR timeline.","domain":"cybersecurity","path":"skills/building-incident-timeline-with-timesketch"},{"name":"building-ioc-defanging-and-sharing-pipeline","description":"Build an automated pipeline that ingests raw IOCs (URLs, IPs, domains, emails), normalizes and deduplicates them, then produces defanged renderings for safe human reading alongside canonical STIX 2.1 bundles distributed via TAXII servers, MISP, or email reports. Use when preparing indicators of compromise for safe analyst sharing or automating threat intel distribution to TAXII/MISP feeds.","domain":"cybersecurity","path":"skills/building-ioc-defanging-and-sharing-pipeline"},{"name":"building-ioc-enrichment-pipeline-with-opencti","description":"Build an automated IOC enrichment pipeline on OpenCTI (STIX 2.1 native threat intel platform) using its internal enrichment connectors to pull context from VirusTotal, Shodan, AbuseIPDB, and GreyNoise, correlate indicators with known actors/campaigns, and score them for analyst prioritization. Use when deploying OpenCTI or automating enrichment and confidence scoring of newly ingested indicators.","domain":"cybersecurity","path":"skills/building-ioc-enrichment-pipeline-with-opencti"},{"name":"building-malware-incident-communication-template","description":"Build structured communication templates for malware incidents (ransomware, wiper, trojan, worm), covering internal stakeholder notifications, executive briefings, technical advisories for IT teams, customer notifications, and regulatory disclosures, with severity-based escalation procedures. Use when drafting or standardizing incident communications and notification workflows for a malware outbreak.","domain":"cybersecurity","path":"skills/building-malware-incident-communication-template"},{"name":"building-patch-tuesday-response-process","description":"Establish a repeatable operational process for triaging, testing, and deploying Microsoft Patch Tuesday security updates (Windows, Office, Exchange, SQL Server, Azure) via WSUS/SCCM within risk-based remediation SLAs, from advisory review through validation. Use when building or improving a monthly patch management workflow or prioritizing which CVEs to remediate first.","domain":"cybersecurity","path":"skills/building-patch-tuesday-response-process"},{"name":"building-phishing-reporting-button-workflow","description":"Implement a phishing report button (Microsoft 365 built-in Report button or third-party like KnowBe4/Cofense) in email clients with a SOAR-driven automated triage workflow that classifies reported emails, extracts IOCs, takes remediation actions, and gives feedback to reporters. Use when deploying user-reported phishing intake or automating triage of the resulting reporting mailbox.","domain":"cybersecurity","path":"skills/building-phishing-reporting-button-workflow"},{"name":"building-ransomware-playbook-with-cisa-framework","description":"Builds a structured ransomware incident response playbook aligned with the CISA StopRansomware Guide and NIST Cybersecurity Framework, covering preparation, detection, containment, eradication, recovery, and post-incident phases with actionable checklists. Use when creating or updating a ransomware playbook, running a CISA-aligned readiness assessment, or validating response steps during a tabletop exercise.","domain":"cybersecurity","path":"skills/building-ransomware-playbook-with-cisa-framework"},{"name":"building-red-team-c2-infrastructure-with-havoc","description":"Deploy and configure the Havoc C2 framework (teamserver, HTTPS/HTTP/SMB listeners, Nginx redirectors, and Demon agents) with malleable traffic profiles and OPSEC-hardened infrastructure for authorized red team operations. Use when standing up or hardening Havoc C2 infrastructure for a written, authorized adversary emulation engagement.","domain":"cybersecurity","path":"skills/building-red-team-c2-infrastructure-with-havoc"},{"name":"building-role-mining-for-rbac-optimization","description":"Apply bottom-up and top-down role mining techniques, including clustering algorithms and formal concept analysis, to discover optimal RBAC roles from existing user-permission assignments, consolidating overlapping roles and enforcing least privilege. Use when an identity program needs to reduce role explosion or redesign its RBAC role set from access data.","domain":"cybersecurity","path":"skills/building-role-mining-for-rbac-optimization"},{"name":"building-soc-escalation-matrix","description":"Build a structured SOC escalation matrix defining severity tiers, response SLAs, tiered escalation paths, and notification procedures for security incidents, using context-driven criteria that combine business risk, asset criticality, and data sensitivity. Use when designing or revising how a SOC triages and escalates incidents across analyst tiers.","domain":"cybersecurity","path":"skills/building-soc-escalation-matrix"},{"name":"building-soc-metrics-and-kpi-tracking","description":"Builds SOC performance metrics and KPI tracking dashboards measuring Mean Time to Detect (MTTD), Mean Time to Respond (MTTR), alert quality ratios, analyst productivity, and detection coverage using SIEM data. Use when SOC leadership needs operational visibility, continuous improvement tracking, or executive-level reporting on security operations effectiveness.","domain":"cybersecurity","path":"skills/building-soc-metrics-and-kpi-tracking"},{"name":"building-soc-playbook-for-ransomware","description":"Builds a structured SOC incident response playbook for ransomware attacks covering detection, containment, eradication, and recovery phases with specific SIEM queries, isolation procedures, and decision trees. Use when SOC teams need formalized response procedures for ransomware incidents aligned to NIST SP 800-61 and MITRE ATT&CK ransomware techniques.","domain":"cybersecurity","path":"skills/building-soc-playbook-for-ransomware"},{"name":"building-super-timelines-with-plaso","description":"Generate forensic super-timelines with Plaso's log2timeline.py, pinfo.py, psort.py, and psteal.py CLI tools (fusing file-system MACB, registry, EVTX, browser history, prefetch, LNK, and more), then triage and filter the results in Timesketch. Use when reconstructing the full sequence of events on a compromised or forensically imaged host during a DFIR investigation.","domain":"cybersecurity","path":"skills/building-super-timelines-with-plaso"},{"name":"building-threat-actor-profile-from-osint","description":"Build threat actor profiles by collecting OSINT from vendor reports, paste sites, dark web forums, social media, and code repos, correlating indicators, mapping adversary infrastructure with tools like Maltego and SpiderFoot, and producing structured dossiers of motivations, capabilities, infrastructure, and TTPs. Use when performing attribution or building an adversary dossier from open-source intelligence.","domain":"cybersecurity","path":"skills/building-threat-actor-profile-from-osint"},{"name":"building-threat-feed-aggregation-with-misp","description":"Deploy MISP via Docker and configure feeds from sources like abuse.ch, AlienVault OTX, and CIRCL to aggregate, correlate, and distribute threat intelligence, including automated feed synchronization and STIX/TAXII-based integration with Splunk, Elasticsearch, and SOAR platforms. Use when standing up centralized IOC management or wiring multi-source threat feeds into a SIEM.","domain":"cybersecurity","path":"skills/building-threat-feed-aggregation-with-misp"},{"name":"building-threat-hunt-hypothesis-framework","description":"Build a systematic threat-hunt workflow that turns threat intelligence and ATT&CK gap analysis into testable hypotheses, then executes and validates them via EDR/SIEM queries (CrowdStrike, Defender, Splunk, Elastic, Sysmon, Velociraptor, Sigma) and documents findings in a standardized hunt report. Use when planning or running a proactive threat hunt or scoping compromise from an intel- or anomaly-driven lead.","domain":"cybersecurity","path":"skills/building-threat-hunt-hypothesis-framework"},{"name":"building-threat-intelligence-enrichment-in-splunk","description":"Build automated IOC enrichment pipelines in Splunk Enterprise Security by ingesting threat feeds into KV Store collections and correlating them against security events via lookup tables, modular inputs, and the Threat Intelligence Framework. Use when wiring threat intel into Splunk correlation searches to flag IOC matches and cut SOC triage time.","domain":"cybersecurity","path":"skills/building-threat-intelligence-enrichment-in-splunk"},{"name":"building-threat-intelligence-feed-integration","description":"Builds automated threat intelligence feed integration pipelines connecting STIX/TAXII feeds, open-source threat intel, and commercial TI platforms into SIEM and security tools for real-time IOC matching and alerting. Use when SOC teams need to operationalize threat intelligence by automating feed ingestion, normalization, scoring, and distribution to detection systems.","domain":"cybersecurity","path":"skills/building-threat-intelligence-feed-integration"},{"name":"building-threat-intelligence-platform","description":"Design and deploy a Threat Intelligence Platform (TIP) by integrating open-source CTI tools (MISP, OpenCTI, TheHive, Cortex) into a unified system with feed ingestion pipelines, enrichment workflows, STIX/TAXII interoperability, and analyst dashboards. Use when architecting or standing up a centralized CTI platform to collect, analyze, and disseminate threat intelligence across a security team.","domain":"cybersecurity","path":"skills/building-threat-intelligence-platform"},{"name":"building-vulnerability-aging-and-sla-tracking","description":"Implement a vulnerability aging dashboard and SLA tracking system that measures time-to-remediation against severity-based deadlines (e.g. 14 days critical, 30 days high, 60 days medium, 90 days low), with automated escalations and compliance metrics reporting. Use when designing SLA policies, building aging/remediation dashboards, or proving compliance with remediation timelines.","domain":"cybersecurity","path":"skills/building-vulnerability-aging-and-sla-tracking"},{"name":"building-vulnerability-dashboard-with-defectdojo","description":"Deploy DefectDojo as a centralized vulnerability management dashboard that ingests findings from 200+ security scanners, deduplicates results, tracks remediation metrics, and integrates with CI/CD, Jira ticketing, and Slack notifications via its REST API. Use when consolidating scanner output into one dashboard or automating vulnerability ticketing and executive reporting.","domain":"cybersecurity","path":"skills/building-vulnerability-dashboard-with-defectdojo"},{"name":"building-vulnerability-exception-tracking-system","description":"Build a vulnerability exception and risk acceptance tracking system covering approval workflows, compensating controls documentation, and automatic expiration for vulnerabilities that miss SLA remediation timelines. Use when standing up a governance process for risk acceptance and exception approvals to support PCI DSS, SOC 2, or NIST CSF compliance.","domain":"cybersecurity","path":"skills/building-vulnerability-exception-tracking-system"},{"name":"building-vulnerability-scanning-workflow","description":"Builds a structured vulnerability scanning workflow using tools like Nessus, Qualys, and OpenVAS to discover, prioritize, and track remediation of security vulnerabilities across infrastructure. Use when SOC teams need to establish recurring vulnerability assessment processes, integrate scan results with SIEM alerting, and build remediation tracking dashboards.","domain":"cybersecurity","path":"skills/building-vulnerability-scanning-workflow"},{"name":"bypassing-authentication-with-forced-browsing","description":"Discovering and accessing unprotected pages, APIs, and administrative interfaces by enumerating URLs and bypassing authentication controls during authorized security assessments.","domain":"cybersecurity","path":"skills/bypassing-authentication-with-forced-browsing"},{"name":"coercing-authentication-with-coercer-petitpotam","description":"Trigger machine account authentication with PetitPotam (MS-EFSR) and Coercer (MS-RPRN, MS-DFSNM, MS-FSRVP, MS-EVEN) via Coercer's scan/coerce/fuzz modes, feeding the coerced NTLM auth into a relay against AD CS Web Enrollment (ESC8), LDAP (RBCD), or SMB. Use in authorized engagements to complete a coercion-relay chain against a Domain Controller, or to validate coercion detections and signing/EPA mitigations.","domain":"cybersecurity","path":"skills/coercing-authentication-with-coercer-petitpotam"},{"name":"collecting-indicators-of-compromise","description":"Systematically collects, categorizes, and distributes indicators of compromise (IOCs) during and after security incidents to enable detection, blocking, and threat intelligence sharing. Covers network, host, email, and behavioral indicators using STIX/TAXII formats and threat intelligence platforms. Activates for requests involving IOC collection, indicator extraction, threat indicator sharing, compromise indicators, STIX export, or IOC enrichment.","domain":"cybersecurity","path":"skills/collecting-indicators-of-compromise"},{"name":"collecting-open-source-intelligence","description":"Collects and synthesizes open-source intelligence (OSINT) about threat actors, malicious infrastructure, and attack campaigns using publicly available data sources, passive reconnaissance tools, and dark web monitoring. Use when investigating external threat actor infrastructure, performing pre-engagement reconnaissance for authorized red team assessments, or enriching CTI reports with publicly available adversary context. Activates for requests involving Maltego, Shodan, OSINT framework, SpiderFoot, or infrastructure reconnaissance.","domain":"cybersecurity","path":"skills/collecting-open-source-intelligence"},{"name":"collecting-threat-intelligence-with-misp","description":"Deploy MISP, configure threat feeds (MISP community, freetext, TAXII, CSV), and use the PyMISP API to programmatically fetch, add, and search events and IOCs, building automated collection pipelines that aggregate indicators from community and commercial sources. Use when gathering, storing, or correlating IOCs and threat intelligence, or when scripting MISP ingestion via PyMISP.","domain":"cybersecurity","path":"skills/collecting-threat-intelligence-with-misp"},{"name":"collecting-volatile-evidence-from-compromised-host","description":"Collect volatile forensic evidence from a compromised host by following the order of volatility, preserving memory, network connections, running processes, and system state with documented chain of custody before they are lost. Use before isolating, shutting down, or remediating a compromised host, especially when fileless or memory-resident malware is suspected, root cause analysis is needed, or the evidence must hold up in legal proceedings.","domain":"cybersecurity","path":"skills/collecting-volatile-evidence-from-compromised-host"},{"name":"conducting-api-security-testing","description":"Conducts security testing of REST, GraphQL, and gRPC APIs to identify vulnerabilities in authentication, authorization, rate limiting, input validation, and business logic. The tester uses the OWASP API Security Top 10 as the testing framework, combining Burp Suite interception with Postman collections and custom scripts to test endpoint security at every privilege level. Activates for requests involving API security testing, REST API pentest, GraphQL security assessment, or API vulnerability testing.","domain":"cybersecurity","path":"skills/conducting-api-security-testing"},{"name":"conducting-cloud-incident-response","description":"Respond to security incidents in AWS, Azure, and GCP via identity-based containment, cloud-native log analysis (CloudTrail, Azure Activity Logs, GCP Audit Logs), resource isolation, and forensic evidence acquisition adapted for ephemeral cloud infrastructure. Use when CSPM alerts or audit logs show compromised cloud credentials, unauthorized IAM changes, or a breach spanning cloud services.","domain":"cybersecurity","path":"skills/conducting-cloud-incident-response"},{"name":"conducting-cloud-penetration-testing","description":"This skill outlines methodologies for performing authorized penetration testing against AWS, Azure, and GCP cloud environments. It covers understanding the shared responsibility model for testing scope, leveraging cloud-specific attack tools like Pacu and ScoutSuite, exploiting IAM misconfigurations, testing for SSRF to cloud metadata services, and reporting findings aligned to MITRE ATT&CK Cloud matrix.","domain":"cybersecurity","path":"skills/conducting-cloud-penetration-testing"},{"name":"conducting-cyber-risk-assessment-with-nist-800-30","description":"Conduct a defensible cybersecurity risk assessment using the NIST SP 800-30 Rev 1 methodology: prepare scope and a risk model, identify threat sources and threat events, identify vulnerabilities and predisposing conditions, determine likelihood and impact, compute risk, and communicate results as a prioritized risk register. Use when an organization needs an actual risk *assessment* (not a maturity score), when a control framework (CSF, ISO 27001, RMF, SOC 2, PCI) requires a documented risk analysis as input, when leadership asks \"what are our top risks and how bad are they\", when assessing risk for a new system or major change, or when building a risk register from scratch. This is the methodology that feeds framework selection, ATO packages, and treatment decisions. Keywords: risk assessment, NIST 800-30, threat modeling, likelihood and impact, risk register, risk analysis, threat sources, vulnerabilities, risk determination, qualitative risk, risk matrix, residual risk, risk treatment.","domain":"cybersecurity","path":"skills/conducting-cyber-risk-assessment-with-nist-800-30"},{"name":"conducting-domain-persistence-with-dcsync","description":"Perform DCSync attacks by abusing MS-DRSR replication rights (DS-Replication-Get-Changes/-All) to impersonate a Domain Controller and extract KRBTGT, Domain Admin, and service account hashes for Golden Ticket forging, typically with Mimikatz. Use in authorized engagements after finding principals with replication rights, to establish long-term domain persistence, or to validate detections for replication abuse.","domain":"cybersecurity","path":"skills/conducting-domain-persistence-with-dcsync"},{"name":"conducting-external-reconnaissance-with-osint","description":"Conduct external recon using OSINT techniques to map an organization's external attack surface without touching target systems, gathering DNS records, certificate transparency logs, search results, social media, code repositories, and breach databases into a target profile. Use for the passive info-gathering phase of a pentest, external footprinting, or collecting employee/email intel for a social engineering campaign.","domain":"cybersecurity","path":"skills/conducting-external-reconnaissance-with-osint"},{"name":"conducting-full-scope-red-team-engagement","description":"Plan and execute a comprehensive, MITRE ATT&CK-aligned red team engagement spanning threat modeling, reconnaissance, initial access, and post-exploitation to evaluate an organization's detection, prevention, and response against APT-style behavior. Use when scoping or running a full-scope, objective-based engagement, or purple-teaming against a specific threat actor's TTPs.","domain":"cybersecurity","path":"skills/conducting-full-scope-red-team-engagement"},{"name":"conducting-internal-network-penetration-test","description":"Execute an internal network penetration test simulating an insider threat or post-breach attacker to identify lateral movement paths, privilege escalation vectors, and sensitive data exposure within the corporate network.","domain":"cybersecurity","path":"skills/conducting-internal-network-penetration-test"},{"name":"conducting-internal-reconnaissance-with-bloodhound-ce","description":"Conduct internal Active Directory reconnaissance using BloodHound Community Edition's graph database with the SharpHound (AD) and AzureHound (Entra ID) collectors, mapping ACLs, sessions, and group memberships into attack paths from a low-privileged foothold to Domain Admin. Use after an initial AD foothold to identify privilege escalation chains, or to validate that AD hardening closed known attack paths.","domain":"cybersecurity","path":"skills/conducting-internal-reconnaissance-with-bloodhound-ce"},{"name":"conducting-malware-incident-response","description":"Respond to malware infections across enterprise endpoints by identifying the malware family, determining infection vectors, assessing spread, and executing containment, analysis, eradication, and recovery procedures aligned to MITRE ATT&CK. Use when responding to a confirmed or suspected malware infection, including trojan/worm/ransomware outbreaks, malware triage, or infected endpoint remediation.","domain":"cybersecurity","path":"skills/conducting-malware-incident-response"},{"name":"conducting-man-in-the-middle-attack-simulation","description":"Simulates man-in-the-middle attacks using Ettercap, mitmproxy, and Bettercap in authorized environments to intercept, analyze, and modify network traffic for testing encryption enforcement, certificate validation, and detection capabilities.","domain":"cybersecurity","path":"skills/conducting-man-in-the-middle-attack-simulation"},{"name":"conducting-memory-forensics-with-volatility","description":"Performs memory forensics analysis using Volatility 3 to extract evidence of malware execution, process injection, network connections, and credential theft from RAM dumps captured during incident response. Covers memory acquisition, process analysis, DLL inspection, and malware detection. Activates for requests involving memory forensics, RAM analysis, Volatility framework, memory dump investigation, volatile evidence analysis, or live memory acquisition.","domain":"cybersecurity","path":"skills/conducting-memory-forensics-with-volatility"},{"name":"conducting-mobile-app-penetration-test","description":"Conducts penetration testing of iOS and Android mobile applications following the OWASP Mobile Application Security Testing Guide (MASTG) to identify vulnerabilities in data storage, network communication, authentication, cryptography, and platform-specific security controls. The tester performs static analysis of application binaries, dynamic analysis at runtime, and API security testing to evaluate the complete mobile attack surface. Activates for requests involving mobile app pentest, iOS security assessment, Android security testing, or OWASP MASTG assessment.","domain":"cybersecurity","path":"skills/conducting-mobile-app-penetration-test"},{"name":"conducting-network-penetration-test","description":"Conducts comprehensive network penetration tests against authorized target environments by performing host discovery, port scanning, service enumeration, vulnerability identification, and controlled exploitation to assess the security posture of network infrastructure. The tester follows PTES methodology from reconnaissance through post-exploitation and reporting. Activates for requests involving network pentest, infrastructure security assessment, internal network testing, or external perimeter testing.","domain":"cybersecurity","path":"skills/conducting-network-penetration-test"},{"name":"conducting-pass-the-ticket-attack","description":"Perform Pass-the-Ticket (PtT) lateral movement by extracting Kerberos TGT/TGS tickets from LSASS memory on a compromised host and injecting them into another session to impersonate the ticket owner without knowing their password. Use during authorized post-exploitation to move laterally or escalate access via stolen Kerberos tickets, or to validate detections for Kerberos ticket theft and reuse.","domain":"cybersecurity","path":"skills/conducting-pass-the-ticket-attack"},{"name":"conducting-phishing-incident-response","description":"Respond to phishing incidents by analyzing reported emails, extracting indicators, sandboxing URLs/attachments, assessing credential compromise, quarantining malicious messages organization-wide, and remediating affected accounts. Use when investigating a reported phishing or credential-phishing email, a suspected spearphishing incident, or when a mailbox-wide purge and account remediation is needed.","domain":"cybersecurity","path":"skills/conducting-phishing-incident-response"},{"name":"conducting-post-incident-lessons-learned","description":"Facilitate structured post-incident reviews to identify root causes, document what worked and failed, and produce actionable recommendations to improve future incident response.","domain":"cybersecurity","path":"skills/conducting-post-incident-lessons-learned"},{"name":"conducting-social-engineering-penetration-test","description":"Design and execute a social engineering penetration test combining OSINT-driven target profiling with phishing, vishing, smishing, and physical pretexting campaigns using tools like GoPhish, the Social Engineer Toolkit (SET), and Evilginx to measure human security resilience. Use when scoping or running an authorized human-attack-surface test and reporting results to identify security awareness training gaps.","domain":"cybersecurity","path":"skills/conducting-social-engineering-penetration-test"},{"name":"conducting-social-engineering-pretext-call","description":"Plan and execute authorized vishing (voice phishing) pretext calls to assess employee susceptibility to social engineering and evaluate security awareness controls.","domain":"cybersecurity","path":"skills/conducting-social-engineering-pretext-call"},{"name":"conducting-spearphishing-simulation-campaign","description":"Run a targeted spearphishing simulation for initial access by developing OSINT-derived pretexts, building payloads (HTML smuggling, macro docs, ISO/LNK, OneNote, QR codes), standing up look-alike-domain email infrastructure with SPF/DKIM/DMARC via GoPhish, and tracking results. Use in authorized engagements to gain initial access via personalized phishing against specific individuals, distinct from broad campaigns.","domain":"cybersecurity","path":"skills/conducting-spearphishing-simulation-campaign"},{"name":"conducting-wireless-network-penetration-test","description":"Conducts authorized wireless network penetration tests to assess the security of WiFi infrastructure by testing for weak encryption protocols, captive portal bypasses, evil twin attacks, WPA2/WPA3 handshake capture, rogue access point detection, and client-side attacks. The tester evaluates wireless authentication, network segmentation, and the effectiveness of wireless intrusion detection systems. Activates for requests involving wireless pentest, WiFi security assessment, WPA2/WPA3 testing, or rogue access point detection.","domain":"cybersecurity","path":"skills/conducting-wireless-network-penetration-test"},{"name":"configuring-active-directory-tiered-model","description":"Implement Microsoft's Enhanced Security Admin Environment (ESAE) tiered administration model for Active Directory, covering Tier 0/1/2 separation, privileged access workstations (PAWs), administrative forest design, and authentication policy silos. Use when designing or hardening AD privileged-access architecture, segmenting Domain/Enterprise Admin accounts into tiers, or containing lateral movement and credential theft (pass-the-hash, Kerberoasting, golden tickets).","domain":"cybersecurity","path":"skills/configuring-active-directory-tiered-model"},{"name":"configuring-aws-verified-access-for-ztna","description":"Configure AWS Verified Access to provide VPN-less zero trust network access to internal apps, combining identity trust providers (IAM Identity Center, Okta/OIDC), device posture providers (CrowdStrike, Jamf), Cedar policy authoring, and Terraform deployment. Use when replacing VPN access with ZTNA, writing Cedar access policies, or deploying Verified Access instances, groups, and endpoints across AWS accounts.","domain":"cybersecurity","path":"skills/configuring-aws-verified-access-for-ztna"},{"name":"configuring-certificate-authority-with-openssl","description":"Build a two-tier PKI Certificate Authority hierarchy (offline Root CA plus issuing Intermediate CA) using OpenSSL and the Python cryptography library, covering certificate extensions, CRL distribution points, OCSP responder configuration, and certificate policy management. Use when standing up an internal CA, issuing or revoking X.509 certificates, or designing PKI trust hierarchies for TLS, code-signing, or client-authentication use cases.","domain":"cybersecurity","path":"skills/configuring-certificate-authority-with-openssl"},{"name":"configuring-host-based-intrusion-detection","description":"Configures host-based intrusion detection systems (HIDS) to monitor endpoint file integrity, system calls, and configuration changes for security violations. Use when deploying OSSEC, Wazuh, or AIDE for endpoint monitoring, building file integrity monitoring (FIM) policies, or meeting compliance requirements for change detection. Activates for requests involving HIDS configuration, file integrity monitoring, OSSEC/Wazuh deployment, or host-based detection.","domain":"cybersecurity","path":"skills/configuring-host-based-intrusion-detection"},{"name":"configuring-hsm-for-key-storage","description":"Configures Hardware Security Modules for cryptographic key storage using the PKCS#11 standard interface, covering key generation, signing, encryption, and key management on physical HSMs and SoftHSM2 for development. Use when protecting cryptographic keys so they never leave a hardened device boundary, or when building and testing PKCS#11-based key management workflows.","domain":"cybersecurity","path":"skills/configuring-hsm-for-key-storage"},{"name":"configuring-identity-aware-proxy-with-google-iap","description":"Configures Google Cloud Identity-Aware Proxy (IAP) via gcloud to enforce per-request identity verification on Compute Engine, App Engine, Cloud Run, and GKE, including IAM bindings, Access Context Manager access levels, session/reauth settings, and service-account programmatic access. Use when replacing VPN access with identity-based access to GCP backends or configuring context-aware, zero-trust policies for Google Cloud services.","domain":"cybersecurity","path":"skills/configuring-identity-aware-proxy-with-google-iap"},{"name":"configuring-ldap-security-hardening","description":"Hardens LDAP directory services against credential harvesting, LDAP injection, anonymous binding, and channel-binding bypass by enforcing LDAPS, channel binding, and LDAP signing. Use when securing an LDAP or Active Directory environment against these attack classes or auditing directory service configurations for these vulnerabilities.","domain":"cybersecurity","path":"skills/configuring-ldap-security-hardening"},{"name":"configuring-microsegmentation-for-zero-trust","description":"Configures microsegmentation policies to enforce least-privilege workload-to-workload access using tools such as VMware NSX, Illumio, and Calico, preventing lateral movement in zero trust architectures. Use when designing or implementing network microsegmentation as part of a zero trust architecture aligned with NIST SP 800-207.","domain":"cybersecurity","path":"skills/configuring-microsegmentation-for-zero-trust"},{"name":"configuring-multi-factor-authentication-with-duo","description":"Deploys Cisco Duo multi-factor authentication across enterprise applications, VPN, RDP, and SSH access points, covering Duo Authentication Proxy setup, adaptive authentication policies, device trust assessment, and phishing-resistant WebAuthn/FIDO2 deployment aligned with NIST 800-63B AAL2/AAL3. Use when adding or hardening MFA for remote access, VPN, or privileged logins with Duo.","domain":"cybersecurity","path":"skills/configuring-multi-factor-authentication-with-duo"},{"name":"configuring-network-segmentation-with-vlans","description":"Designs and implements VLAN-based (802.1Q) network segmentation on managed switches to isolate zones such as corporate, servers, DMZ, guest, and IoT, and to limit lateral movement paths. Use when segmenting an enterprise network into isolated security zones, meeting compliance mandates (PCI-DSS, HIPAA, SOC 2) for network isolation, or reducing blast radius from a security incident.","domain":"cybersecurity","path":"skills/configuring-network-segmentation-with-vlans"},{"name":"configuring-oauth2-authorization-flow","description":"Configures secure OAuth 2.0 authorization flows, including Authorization Code with PKCE, Client Credentials, and Device Authorization Grant, covering flow selection, PKCE implementation, token lifecycle management, and scope design per OAuth 2.1. Use when implementing or hardening OAuth 2.0 authentication/authorization for web, mobile, SPA, or machine-to-machine clients.","domain":"cybersecurity","path":"skills/configuring-oauth2-authorization-flow"},{"name":"configuring-pfsense-firewall-rules","description":"Configures pfSense firewall rules, NAT policies, IPsec/OpenVPN tunnels, and traffic shaping to enforce network segmentation and control traffic between zones such as DMZ, internal, guest, and IoT. Use when deploying a pfSense perimeter or internal firewall, setting up port-forwarding NAT, configuring site-to-site or remote-access VPNs, or applying QoS/bandwidth policies.","domain":"cybersecurity","path":"skills/configuring-pfsense-firewall-rules"},{"name":"configuring-snort-ids-for-intrusion-detection","description":"Installs, configures, and tunes Snort 3 to monitor network traffic for malicious activity using custom and community rulesets, preprocessors, and alert output plugins. Use when deploying network-based intrusion detection at key boundaries, writing custom Snort rules, tuning rulesets to reduce false positives, or integrating Snort alerts with a SIEM.","domain":"cybersecurity","path":"skills/configuring-snort-ids-for-intrusion-detection"},{"name":"configuring-suricata-for-network-monitoring","description":"Deploys and configures Suricata IDS/IPS with Emerging Threats rulesets, EVE JSON logging, and custom rules for high-throughput, protocol-aware traffic inspection (HTTP, TLS, DNS, SMB) and SIEM integration. Use when running Suricata in IDS or inline IPS mode to detect or block malicious traffic, or when combining signature-based and protocol anomaly detection with file extraction.","domain":"cybersecurity","path":"skills/configuring-suricata-for-network-monitoring"},{"name":"configuring-tls-1-3-for-secure-communications","description":"Configures TLS 1.3 (RFC 8446) on servers, covering cipher suite and key-exchange group selection, and validates the resulting configuration with openssl s_client and testssl.sh. Use when deploying or hardening TLS 1.3 for secure communications, or when testing a server for common TLS misconfigurations and vulnerabilities.","domain":"cybersecurity","path":"skills/configuring-tls-1-3-for-secure-communications"},{"name":"configuring-windows-defender-advanced-settings","description":"Configures Microsoft Defender for Endpoint (MDE) advanced protection settings including attack surface reduction rules, controlled folder access, network protection, and exploit protection. Use when hardening Windows endpoints beyond default Defender settings, deploying enterprise-grade endpoint protection, or meeting compliance requirements for advanced malware defense. Activates for requests involving Windows Defender configuration, ASR rules, MDE tuning, or Microsoft endpoint security.","domain":"cybersecurity","path":"skills/configuring-windows-defender-advanced-settings"},{"name":"configuring-windows-event-logging-for-detection","description":"Configures Windows Event Logging with advanced audit policies to generate high-fidelity security events for threat detection and forensic investigation. Use when enabling audit policies for logon events, process creation, privilege use, and object access to feed SIEM detection rules. Activates for requests involving Windows audit policy, event log configuration, security logging, or detection-oriented logging.","domain":"cybersecurity","path":"skills/configuring-windows-event-logging-for-detection"},{"name":"configuring-zscaler-private-access-for-ztna","description":"Configures Zscaler Private Access (ZPA) to replace traditional VPN with zero trust network access by deploying App Connectors, defining application segments, configuring identity- and device-posture-based access policies, and integrating with IdPs. Use when replacing VPN concentrators with ZTNA or providing remote users secure access to internal applications without network-level connectivity.","domain":"cybersecurity","path":"skills/configuring-zscaler-private-access-for-ztna"},{"name":"containing-active-breach","description":"Executes containment strategies to stop active adversary operations and prevent lateral movement during a confirmed security breach. Implements short-term and long-term containment using network segmentation, endpoint isolation, credential revocation, and access control modifications. Activates for requests involving breach containment, lateral movement prevention, network isolation, active threat containment, or live incident response.","domain":"cybersecurity","path":"skills/containing-active-breach"},{"name":"continuous-llm-red-teaming-with-promptfoo","description":"Wires Promptfoo and DeepTeam into CI/CD for automated, repeatable red-teaming of LLM apps against OWASP LLM Top 10, OWASP Agentic, and MITRE ATLAS presets, failing the build when jailbreak or injection vulnerabilities regress. Use for continuous adversarial testing in CI/CD, a merge-blocking security gate, or comparing model/prompt versions for compliance reporting.","domain":"cybersecurity","path":"skills/continuous-llm-red-teaming-with-promptfoo"},{"name":"correlating-security-events-in-qradar","description":"Correlates security events in IBM QRadar SIEM using AQL (Ariel Query Language), custom rules, building blocks, and offense management to detect multi-stage attacks across network, endpoint, and application log sources. Use when SOC analysts need to investigate QRadar offenses, build correlation rules, or tune detection logic for reducing false positives.","domain":"cybersecurity","path":"skills/correlating-security-events-in-qradar"},{"name":"correlating-threat-campaigns","description":"Correlates disparate security incidents, IOCs, and adversary behaviors across time and organizations to identify unified threat campaigns, attribute them to common threat actors, and extract shared indicators for improved detection. Use when multiple incidents exhibit overlapping indicators, when sector-wide attack campaigns require cross-organizational analysis, or when building campaign-level intelligence products. Activates for requests involving campaign analysis, incident clustering, cross-organizational IOC correlation, or MISP correlation engine.","domain":"cybersecurity","path":"skills/correlating-threat-campaigns"},{"name":"defending-llms-with-guardrails","description":"Deploys Llama Guard 3 safety classification, NeMo Guardrails programmable dialogue rails, and LLM Guard input/output scanner pipelines as complementary runtime defenses that inspect and constrain LLM prompts and responses. Use when adding a production runtime safety layer to an LLM, RAG, or agent application to block jailbreaks, prompt injection (OWASP LLM01), toxic content, or sensitive-data leakage before it reaches or leaves the model.","domain":"cybersecurity","path":"skills/defending-llms-with-guardrails"},{"name":"deobfuscating-javascript-malware","description":"Deobfuscates malicious JavaScript found in phishing pages, web skimmers, and dropper scripts by reversing encoding layers, eval chains, string manipulation, and control-flow obfuscation to reveal the original malicious logic. Use when investigating a phishing page's obfuscated JavaScript, analyzing a Magecart-style web skimmer, or deobfuscating a JavaScript dropper that fetches second-stage malware.","domain":"cybersecurity","path":"skills/deobfuscating-javascript-malware"},{"name":"deobfuscating-powershell-obfuscated-malware","description":"Systematically deobfuscates multi-layer PowerShell malware using AST analysis, dynamic tracing, and tools like PSDecode and PowerDecode to reveal hidden payloads and C2 infrastructure. Use during incident response or malware analysis when a PowerShell script is obfuscated with encoding, string manipulation, or invocation tricks and you need to recover the underlying commands, dropped payloads, or C2 endpoints.","domain":"cybersecurity","path":"skills/deobfuscating-powershell-obfuscated-malware"},{"name":"deploying-active-directory-honeytokens","description":"Deploys deception-based honeytokens in Active Directory including fake privileged accounts with AdminCount=1, fake SPNs for Kerberoasting detection (honeyroasting), decoy GPOs with cpassword traps, and fake BloodHound paths. Monitors Windows Security Event IDs 4769, 4625, 4662, 5136 for honeytoken interaction. Use when implementing AD deception defenses for detecting lateral movement, credential theft, and reconnaissance.","domain":"cybersecurity","path":"skills/deploying-active-directory-honeytokens"},{"name":"deploying-cloud-deception-with-decoy-resources","description":"Deploy cloud-native deception across AWS, Azure, and GCP using decoy (honey) resources whose only purpose is to generate a high-fidelity alert the instant an attacker touches them: canary IAM access keys, permission-less decoy users/roles/service principals, honey object-storage buckets, and decoy secrets in Secrets Manager / Key Vault / Secret Manager. Wires detection through CloudTrail + EventBridge, Azure Sentinel honeytoken watchlists + Defender, and GCP Cloud Audit Logs, so any use of a decoy is routed to the SOC with near-zero false positives. Use when protecting cloud accounts and data stores, when an org has only on-prem honeypots and needs cloud coverage, when seeding fake AWS keys to catch credential theft and code-leak exposure, or when detecting cloud reconnaissance and lateral movement. Keywords: cloud deception, canary token AWS, honey S3 bucket, decoy IAM credentials, CloudTrail alert, GuardDuty, Sentinel honeytoken, decoy secret, honey service account, cloud honeypot, breach detection.","domain":"cybersecurity","path":"skills/deploying-cloud-deception-with-decoy-resources"},{"name":"deploying-cloudflare-access-for-zero-trust","description":"Deploys Cloudflare Access with Cloudflare Tunnel for zero trust access to self-hosted apps, configuring identity-aware policies, device posture checks, and WARP client enrollment as a VPN replacement. Use when replacing VPN with Cloudflare One, exposing internal apps without open inbound ports, or securing contractor/third-party access to specific applications.","domain":"cybersecurity","path":"skills/deploying-cloudflare-access-for-zero-trust"},{"name":"deploying-decoy-files-for-ransomware-detection","description":"Deploys canary files (honeytokens) across file systems to detect ransomware encryption activity in real time. Uses strategically placed decoy documents monitored via file integrity monitoring or OS-level watchdogs to trigger alerts when ransomware modifies or encrypts them. Activates for requests involving ransomware canary deployment, honeyfile setup, deception-based ransomware detection, or file integrity monitoring for encryption.","domain":"cybersecurity","path":"skills/deploying-decoy-files-for-ransomware-detection"},{"name":"deploying-edr-agent-with-crowdstrike","description":"Deploys and configures CrowdStrike Falcon EDR agents across enterprise endpoints to enable real-time threat detection, behavioral analysis, and automated response. Use when onboarding endpoints to EDR coverage, configuring detection policies, or integrating Falcon telemetry with SIEM platforms. Activates for requests involving CrowdStrike deployment, Falcon sensor installation, EDR policy configuration, or endpoint detection and response.","domain":"cybersecurity","path":"skills/deploying-edr-agent-with-crowdstrike"},{"name":"deploying-honeytokens-and-canarytokens","description":"Plants Canarytokens-based decoy artifacts (honey credentials, DNS tokens, web-bug URLs, AWS keys, documents, kubeconfigs) using Thinkst's open-source Canarytokens project and alerts via email or webhook when a token is touched. Use for high-fidelity intrusion detection in low-telemetry areas like file shares or credential stores, or to catch credential dumping and data-theft staging.","domain":"cybersecurity","path":"skills/deploying-honeytokens-and-canarytokens"},{"name":"deploying-osquery-for-endpoint-monitoring","description":"Deploys and configures osquery for real-time endpoint monitoring using SQL-based queries to inspect running processes, open ports, installed software, and system configuration. Use when building visibility into endpoint state, threat hunting across fleet, or implementing compliance monitoring. Activates for requests involving osquery deployment, endpoint visibility, fleet management, or SQL-based endpoint querying.","domain":"cybersecurity","path":"skills/deploying-osquery-for-endpoint-monitoring"},{"name":"deploying-palo-alto-prisma-access-zero-trust","description":"Deploys Palo Alto Networks Prisma Access for SASE-based zero trust network access, configuring GlobalProtect agents, ZTNA Connectors, security policy enforcement, and Strata Cloud Manager integration for unified management. Use when implementing enterprise-grade SASE with integrated ZTNA/SWG/CASB/FWaaS, replacing both VPN and branch firewalls with cloud-delivered security, or integrating ZTNA with an existing Palo Alto NGFW estate.","domain":"cybersecurity","path":"skills/deploying-palo-alto-prisma-access-zero-trust"},{"name":"deploying-ransomware-canary-files","description":"Deploys and monitors ransomware canary files using Python's watchdog library, placing decoy files mimicking high-value targets (financial records, credentials, database exports) where ransomware enumerates first, and alerting via email, Slack, or syslog on any read/modify/rename/delete. Use for early-warning ransomware detection on file servers, NAS, or endpoints, or to supplement EDR where agents can't be deployed.","domain":"cybersecurity","path":"skills/deploying-ransomware-canary-files"},{"name":"deploying-software-defined-perimeter","description":"Deploys a Software-Defined Perimeter per the CSA v2.0 specification, configuring Single Packet Authorization, mutual TLS, and SDP controller/gateway components to enforce zero trust network access. Use when building or hardening zero trust network architecture, implementing SPA-based \"invisible\" infrastructure that cloaks services from unauthenticated scanning, or meeting compliance requirements for zero trust network access.","domain":"cybersecurity","path":"skills/deploying-software-defined-perimeter"},{"name":"deploying-tailscale-for-zero-trust-vpn","description":"Deploys and configures Tailscale (or self-hosted Headscale) as a WireGuard-based zero trust mesh VPN, setting up identity-aware ACLs, exit nodes, subnet routers, and MagicDNS for encrypted peer-to-peer connectivity. Use when replacing traditional VPN servers with an identity-authenticated mesh network or enforcing granular per-device access control lists.","domain":"cybersecurity","path":"skills/deploying-tailscale-for-zero-trust-vpn"},{"name":"designing-adversary-engagement-with-mitre-engage","description":"Plan, run, and measure an adversary engagement operation using the MITRE Engage framework so that deployed deception is driven by strategy instead of deployed ad hoc. Covers the Engage Matrix (Prepare, Expose, Affect, Elicit, Understand), the 10-Step Operational Process, mapping engagement Activities to the ATT&CK techniques they expose, and defining measurable Goals and Operational Objectives. Use when a team has honeypots, honeytokens, or canary tokens but no coordinating strategy, when leadership asks \"should we engage attackers and how\", when building a deception/denial program, when writing an adversary engagement operation plan, or when deciding which deception Activities to deploy against a specific threat actor. Keywords: MITRE Engage, adversary engagement, cyber deception strategy, denial and deception, Engage Matrix, EAC, EGO, Expose Affect Elicit, deception program, honeypot strategy, engagement operation.","domain":"cybersecurity","path":"skills/designing-adversary-engagement-with-mitre-engage"},{"name":"detecting-ai-model-prompt-injection-attacks","description":"Detects prompt injection using regex signature matching, heuristic scoring for structural anomalies, and DeBERTa-based transformer classification, flagging direct injections (system-prompt overrides, role-play escapes) and indirect injections (encoded payloads, obfuscation) per OWASP LLM Top 10 (LLM01:2025). Use for input validation layers in chatbots/agents/RAG pipelines, or for retrospectively classifying injection attempts in logs or incident investigations.","domain":"cybersecurity","path":"skills/detecting-ai-model-prompt-injection-attacks"},{"name":"detecting-anomalies-in-industrial-control-systems","description":"Deploys anomaly detection for OT/ICS environments using machine learning on OT network baselines, physics-based process models, and Modbus/DNP3/OPC UA traffic analysis to flag deviations, rogue devices, and mismatches against historian data. Use for continuous OT monitoring, baselining deterministic SCADA polling, or investigating alerts from Nozomi Guardian/Dragos needing deeper protocol analysis.","domain":"cybersecurity","path":"skills/detecting-anomalies-in-industrial-control-systems"},{"name":"detecting-anomalous-authentication-patterns","description":"Detects anomalous authentication patterns using UEBA analytics, statistical baselines, and machine learning models to identify impossible travel, credential stuffing, brute force, password spraying, and compromised account behaviors across authentication logs. Activates for requests involving authentication anomaly detection, login behavior analysis, UEBA implementation, or suspicious sign-in investigation.","domain":"cybersecurity","path":"skills/detecting-anomalous-authentication-patterns"},{"name":"detecting-api-enumeration-attacks","description":"Detect API enumeration attacks (BOLA/IDOR, OWASP API1:2023) by writing SIEM detection rules that flag sequential or UUID identifier iteration, parameter tampering, and mixed 200/401/403 response patterns from API gateway and WAF logs. Use when investigating suspected object-level authorization abuse, building threat-hunting queries for API access-control bypass, or hardening API logging/rate-limiting against enumeration.","domain":"cybersecurity","path":"skills/detecting-api-enumeration-attacks"},{"name":"detecting-arp-poisoning-in-network-traffic","description":"Detect Layer 2 ARP poisoning/spoofing by deploying ARPWatch, Dynamic ARP Inspection (DAI), Wireshark packet analysis, and custom Python monitoring scripts that flag gratuitous ARP floods, IP-to-MAC mapping changes, and duplicate IP addresses. Use when investigating suspected man-in-the-middle interception or session hijacking on a local network segment, or when building layer-2 anomaly detection for a SOC.","domain":"cybersecurity","path":"skills/detecting-arp-poisoning-in-network-traffic"},{"name":"detecting-attacks-on-historian-servers","description":"Detect cyber attacks on OT historian servers (OSIsoft PI, Ignition, GE Proficy, Wonderware InSQL) using a Python detector that flags unauthorized queries, data manipulation, and lateral-movement indicators as historians pivot between IT and OT networks. Use when monitoring historians bridging IT/OT zones for compromise, investigating historian-specific CVE exploitation, or validating historian data integrity after a suspected OT incident.","domain":"cybersecurity","path":"skills/detecting-attacks-on-historian-servers"},{"name":"detecting-attacks-on-scada-systems","description":"This skill covers detecting cyber attacks targeting Supervisory Control and Data Acquisition (SCADA) systems including man-in-the-middle attacks on industrial protocols, unauthorized command injection into PLCs, HMI compromise, historian data manipulation, and denial-of-service against control system communications. It leverages OT-specific intrusion detection systems, industrial protocol anomaly detection, and process data analytics to identify attacks that traditional IT security tools miss.","domain":"cybersecurity","path":"skills/detecting-attacks-on-scada-systems"},{"name":"detecting-aws-cloudtrail-anomalies","description":"Detect unusual API call patterns in AWS CloudTrail logs using boto3, statistical baselining, and behavioral analysis to identify credential compromise, privilege escalation, and unauthorized resource access.","domain":"cybersecurity","path":"skills/detecting-aws-cloudtrail-anomalies"},{"name":"detecting-aws-credential-exposure-with-trufflehog","description":"Scan source code repositories, CI/CD pipelines, and configuration files for exposed AWS credentials using TruffleHog, git-secrets, and AWS-native detection. Use when integrating secrets scanning into CI/CD, auditing repositories (including git history) for historically committed AWS keys, responding to a GuardDuty alert about credential use from an unexpected location, or verifying credential rotation removed all exposed keys.","domain":"cybersecurity","path":"skills/detecting-aws-credential-exposure-with-trufflehog"},{"name":"detecting-aws-guardduty-findings-automation","description":"Build automated AWS GuardDuty finding response pipelines using EventBridge and Lambda to trigger real-time incident response, automatically quarantine compromised resources, and route security notifications. Use when designing automated remediation playbooks for GuardDuty findings across VPC Flow Logs, CloudTrail, DNS, EKS, or S3 data events, or when reducing mean time to respond to cloud threats.","domain":"cybersecurity","path":"skills/detecting-aws-guardduty-findings-automation"},{"name":"detecting-aws-iam-privilege-escalation","description":"Detect AWS IAM privilege escalation paths using boto3 and Cloudsplaining policy analysis to identify overly permissive policies, dangerous permission combinations, and least-privilege violations","domain":"cybersecurity","path":"skills/detecting-aws-iam-privilege-escalation"},{"name":"detecting-azure-lateral-movement","description":"Detect lateral movement in Azure AD/Entra ID environments using Microsoft Graph API audit logs, Azure Sentinel KQL hunting queries, and sign-in anomaly correlation to identify privilege escalation, token theft, and cross-tenant pivoting.","domain":"cybersecurity","path":"skills/detecting-azure-lateral-movement"},{"name":"detecting-azure-service-principal-abuse","description":"Detect Azure service principal abuse in Microsoft Entra ID using KQL detection queries (Sentinel/Splunk) against Azure AD Audit and Sign-in Logs, covering added credentials, privileged role assignment, admin consent bypass, and service principal enumeration. Use when investigating suspected privilege escalation or persistence via service principals, or building threat-hunting queries for Entra ID identity abuse.","domain":"cybersecurity","path":"skills/detecting-azure-service-principal-abuse"},{"name":"detecting-azure-storage-account-misconfigurations","description":"Audit Azure Blob and ADLS storage accounts for public access exposure, weak or long-lived SAS tokens, missing encryption at rest, disabled HTTPS-only traffic, and outdated TLS versions, using the azure-mgmt-storage Python SDK to generate a risk-scored report. Use when assessing an Azure subscription's storage accounts for misconfiguration, building cloud security posture checks, or investigating a suspected data exposure via public blob access.","domain":"cybersecurity","path":"skills/detecting-azure-storage-account-misconfigurations"},{"name":"detecting-beaconing-patterns-with-zeek","description":"Performs statistical analysis of Zeek conn.log connection intervals to detect C2 beaconing patterns. Uses the ZAT library to load Zeek logs into Pandas DataFrames, calculates inter-arrival time standard deviation, and flags periodic connections with low jitter. Use when hunting for command-and-control callbacks in network data.","domain":"cybersecurity","path":"skills/detecting-beaconing-patterns-with-zeek"},{"name":"detecting-bluetooth-low-energy-attacks","description":"Detects and analyzes Bluetooth Low Energy (BLE) security attacks including sniffing, replay attacks, GATT enumeration abuse, and Man-in-the-Middle interception. Uses Ubertooth One and nRF52840 sniffers for packet capture, the bleak Python library for GATT service enumeration, and crackle for BLE encryption cracking. Use when assessing IoT device BLE security, monitoring for BLE-based attacks on wireless infrastructure, or performing authorized BLE penetration testing. Activates for requests involving BLE security assessment, Ubertooth sniffing, GATT enumeration, or BLE replay detection.","domain":"cybersecurity","path":"skills/detecting-bluetooth-low-energy-attacks"},{"name":"detecting-broken-object-property-level-authorization","description":"Detect and test for OWASP API3:2023 Broken Object Property Level Authorization (BOPLA), covering excessive data exposure in API responses and mass assignment via injected request-body properties. Use when reviewing API responses/requests for over-exposed or over-writable object fields, or building detection rules and test cases for property-level authorization gaps that object-level checks miss.","domain":"cybersecurity","path":"skills/detecting-broken-object-property-level-authorization"},{"name":"detecting-business-email-compromise","description":"Detect Business Email Compromise (BEC) fraud, where attackers impersonate executives or vendors to trick employees into wire transfers or data disclosure without malicious links, using email gateway rules, behavioral analytics, and financial process controls. Use when investigating a suspected executive/vendor impersonation email or building detection rules for social-engineering fund-transfer fraud.","domain":"cybersecurity","path":"skills/detecting-business-email-compromise"},{"name":"detecting-business-email-compromise-with-ai","description":"Deploy AI and NLP-powered detection systems to identify business email compromise attacks by analyzing writing style, behavioral patterns, and contextual anomalies that evade traditional rule-based filters.","domain":"cybersecurity","path":"skills/detecting-business-email-compromise-with-ai"},{"name":"detecting-cloud-threats-with-guardduty","description":"Deploy and operationalize Amazon GuardDuty, covering protection plans for S3, EKS, EC2 runtime monitoring, and Lambda, interpreting finding severity, and building automated response with EventBridge and Lambda. Use when establishing threat detection for AWS accounts, investigating findings on compromised instances or credential abuse, or building automated incident-response playbooks.","domain":"cybersecurity","path":"skills/detecting-cloud-threats-with-guardduty"},{"name":"detecting-command-and-control-over-dns","description":"Detect command-and-control (C2) traffic tunneled over DNS from tools like Iodine, dnscat2, dns2tcp, and Cobalt Strike DNS beacon, using Shannon entropy analysis of query subdomains, ML-based DGA classification, passive DNS correlation, and Zeek/Suricata signatures. Use when investigating suspected DNS tunneling, classifying DGA domains, detecting DNS beaconing, or building DNS anomaly rules for a SOC/SIEM.","domain":"cybersecurity","path":"skills/detecting-command-and-control-over-dns"},{"name":"detecting-compromised-cloud-credentials","description":"Detect compromised cloud credentials across AWS, Azure, and GCP by analyzing anomalous API activity, impossible-travel patterns, and credential-stuffing indicators using GuardDuty, Microsoft Defender for Identity, and Google SCC Event Threat Detection. Use when investigating alerts about cloud API activity from unfamiliar locations, responding to an exposed-credential notification, or scoping a credential compromise.","domain":"cybersecurity","path":"skills/detecting-compromised-cloud-credentials"},{"name":"detecting-container-drift-at-runtime","description":"Detects unauthorized runtime drift in containers by monitoring binary execution, filesystem changes, and configuration deviation from the original immutable image, using Falco and Microsoft Defender for Containers. Use when validating immutable-infrastructure controls, hunting for unexpected package installs or binaries written inside a running container, or determining whether a container diverged from the image it was built from. Keywords: drift, immutable infrastructure, new binary executed, package install, image mismatch, Falco. Do not use for detecting breakout from the container to the host - use detecting-container-escape-attempts.","domain":"cybersecurity","path":"skills/detecting-container-drift-at-runtime"},{"name":"detecting-container-escape-attempts","description":"Detects container escape at runtime across tooling - namespace manipulation, capability abuse, kernel exploits, sensitive host mounts, and anomalous syscalls - and explains which signals matter regardless of whether Falco, Sysdig, auditd, or an EDR is doing the collection. Use when deciding what breakout behaviour to monitor, investigating a suspected Docker or Kubernetes breakout, or comparing escape coverage across runtime sensors. Keywords: container escape, breakout, namespaces, CAP_SYS_ADMIN, privileged, hostPath, kernel exploit, syscall. Do not use for Falco rule syntax itself - use detecting-container-escape-with-falco-rules; for a static configuration sweep use performing-container-escape-detection.","domain":"cybersecurity","path":"skills/detecting-container-escape-attempts"},{"name":"detecting-container-escape-with-falco-rules","description":"Writes and tunes Falco rule syntax for container escape detection - conditions, macros, lists, priorities, and output fields - covering host filesystem mounts, sensitive host path access, kernel module loading, and privileged capability abuse, including how to drive down false positives. Use when authoring or tuning a specific Falco rule for breakout behaviour, or triaging a noisy escape-related Falco alert. Keywords: Falco rule, macro, list, condition, priority, falco_rules.local.yaml, tuning, false positive. Do not use for deploying and operating Falco itself - use detecting-container-runtime-threats-with-falco; for tool-agnostic escape signals use detecting-container-escape-attempts.","domain":"cybersecurity","path":"skills/detecting-container-escape-with-falco-rules"},{"name":"detecting-container-runtime-threats-with-falco","description":"Deploys and operates Falco with the modern eBPF driver in Kubernetes and Docker, covering driver selection, Helm installation, output channels, and the built-in ruleset that detects container escape, namespace abuse, privileged mounts, and anomalous syscalls. Use when standing Falco up on a cluster, choosing between the eBPF and kernel-module drivers, routing Falco alerts into a SIEM or Falcosidekick, or upgrading an existing deployment. Keywords: Falco, modern_ebpf, kernel module, Helm, Falcosidekick, runtime security, syscall. Do not use for authoring individual escape rules - use detecting-container-escape-with-falco-rules.","domain":"cybersecurity","path":"skills/detecting-container-runtime-threats-with-falco"},{"name":"detecting-credential-dumping-techniques","description":"Detect LSASS credential dumping, SAM database extraction, and NTDS.dit theft (e.g. via Mimikatz) using Sysmon Event ID 10 process-access logging, Windows Security logs, and SIEM correlation rules. Use when hunting for credential-theft activity on Windows/Active Directory hosts or triaging EDR alerts on LSASS access.","domain":"cybersecurity","path":"skills/detecting-credential-dumping-techniques"},{"name":"detecting-cryptomining-in-cloud","description":"This skill teaches security teams how to detect and respond to unauthorized cryptocurrency mining operations in cloud environments. It covers identifying cryptomining indicators through compute usage anomalies, network traffic patterns to mining pools, GuardDuty CryptoCurrency findings, and runtime process monitoring on EC2, ECS, EKS, and Azure Automation workloads.","domain":"cybersecurity","path":"skills/detecting-cryptomining-in-cloud"},{"name":"detecting-data-and-model-poisoning","description":"Identify poisoned training data and backdoored ML models across the pipeline using IBM's Adversarial Robustness Toolbox (activation clustering, spectral signatures, trigger reconstruction), Cleanlab for label-quality issues, and supply-chain checks like weight-hash verification and safetensors enforcement. Use before training or deploying on third-party/user-contributed data or downloaded checkpoints, during ML supply-chain reviews, or when investigating model misbehavior tied to specific inputs (suspected backdoor trigger).","domain":"cybersecurity","path":"skills/detecting-data-and-model-poisoning"},{"name":"detecting-dcsync-attack-in-active-directory","description":"Detect DCSync attacks (MITRE T1003.006) where adversaries abuse Active Directory replication privileges to extract password hashes, by auditing Event ID 4662 for the DS-Replication-Get-Changes GUIDs and flagging non-domain-controller accounts issuing DsGetNCChanges RPC calls. Use when hunting for credential theft via Mimikatz lsadump::dcsync or Impacket secretsdump, investigating lateral movement with domain admin credentials, or auditing AD replication permissions.","domain":"cybersecurity","path":"skills/detecting-dcsync-attack-in-active-directory"},{"name":"detecting-deepfake-audio-in-vishing-attacks","description":"Detect AI-generated deepfake audio used in voice phishing (vishing) by extracting spectral features (MFCC, spectral centroid, spectral contrast, zero-crossing rate) and classifying samples with machine learning models, supporting batch audio analysis, confidence scoring, and forensic reporting. Use for deepfake voice detection, vishing investigations, AI-generated speech analysis, voice cloning detection, or audio authenticity verification.","domain":"cybersecurity","path":"skills/detecting-deepfake-audio-in-vishing-attacks"},{"name":"detecting-dependency-confusion","description":"Detect and prevent dependency confusion (public-over-private package name resolution) in npm, PyPI, and Maven by enumerating claimable internal package names with tools like `confused` and OWASP `dep-scan`, then enforcing source restrictions via `.npmrc`, `pip.conf`/`pyproject.toml`, and Maven `settings.xml`. Use when onboarding a repo to a supply-chain security program, auditing lockfiles/manifests for confusable dependencies, or after an incident that may have leaked internal package names.","domain":"cybersecurity","path":"skills/detecting-dependency-confusion"},{"name":"detecting-dll-sideloading-attacks","description":"Detect DLL side-loading and search-order hijacking (MITRE T1574) where adversaries plant malicious DLLs for legitimate signed applications to load, by analyzing Sysmon Event ID 7 DLL-load events, checking signatures/hashes against known-good versions, and flagging path anomalies with EDR tools like CrowdStrike, MDE, or SentinelOne. Use when investigating EDR alerts on unsigned DLLs, hunting for APT persistence via trojanized applications, or triaging incidents involving DLL hijacking.","domain":"cybersecurity","path":"skills/detecting-dll-sideloading-attacks"},{"name":"detecting-dnp3-protocol-anomalies","description":"Detect anomalies in DNP3 communications used in SCADA/ICS systems by monitoring unauthorized control commands, firmware update attempts, protocol violations, and deviations from baseline traffic using deep packet inspection and machine learning approaches. Use when securing energy-sector or other OT/ICS networks, investigating suspicious DNP3 master/outstation activity, or building an anomaly-based IDS for industrial control traffic.","domain":"cybersecurity","path":"skills/detecting-dnp3-protocol-anomalies"},{"name":"detecting-dns-exfiltration-with-dns-query-analysis","description":"Detect data exfiltration via DNS tunneling (tools like iodine, dnscat2, dns2tcp) by analyzing query entropy, subdomain length, query volume to single domains, TXT/CNAME/NULL record abuse, and oversized response payloads using passive DNS monitoring and statistical/ML methods. Use when hunting for covert DNS-based data exfiltration or building a passive DNS anomaly detection capability.","domain":"cybersecurity","path":"skills/detecting-dns-exfiltration-with-dns-query-analysis"},{"name":"detecting-email-account-compromise","description":"Detect compromised O365 and Google Workspace email accounts by analyzing Unified Audit Logs and Azure AD sign-in logs for impossible travel, inbox rule creation/deletion (Set-InboxRule, New-InboxRule), external mail forwarding rules, and unusual Microsoft Graph API access or OAuth token use. Use when investigating suspected business email compromise (BEC), account takeover, or mailbox persistence via malicious inbox rules.","domain":"cybersecurity","path":"skills/detecting-email-account-compromise"},{"name":"detecting-email-forwarding-rules-attack","description":"Detect malicious inbox/mail-flow forwarding rules that adversaries create to maintain persistent access to email communications for intelligence collection and business email compromise. Use when hunting for suspicious auto-forwarding, hidden mailbox rules, or T1114-style email collection persistence after a compromised account or BEC incident.","domain":"cybersecurity","path":"skills/detecting-email-forwarding-rules-attack"},{"name":"detecting-entra-offensive-tools-in-graph-logs","description":"Hunt AADGraphActivityLogs and MicrosoftGraphActivityLogs in Microsoft Sentinel/Log Analytics using KQL to fingerprint offensive Entra ID enumeration tools such as ROADtools, AADInternals, and AzureHound, including User-Agent signatures, roadrecon endpoint sweeps, and sign-in correlation. Use when investigating suspicious Microsoft Graph API activity, Entra ID reconnaissance, or building Sentinel analytics rules to detect these tools.","domain":"cybersecurity","path":"skills/detecting-entra-offensive-tools-in-graph-logs"},{"name":"detecting-evasion-techniques-in-endpoint-logs","description":"Detects defense evasion techniques used by adversaries in endpoint logs including log tampering, timestomping, process injection, and security tool disabling. Use when investigating suspicious endpoint behavior, building detection rules for evasion tactics, or conducting threat hunting for stealthy adversary activity. Activates for requests involving evasion detection, defense evasion analysis, log tampering detection, or MITRE ATT&CK TA0005.","domain":"cybersecurity","path":"skills/detecting-evasion-techniques-in-endpoint-logs"},{"name":"detecting-exfiltration-over-dns-with-zeek","description":"Detect DNS-based data exfiltration by analyzing Zeek dns.log for high-entropy subdomains, oversized TXT/NULL records, and anomalous query volume or patterns. Use when investigating suspected DNS tunneling, covert C2 over DNS, or data exfiltration hidden in DNS queries against network traffic captured by Zeek.","domain":"cybersecurity","path":"skills/detecting-exfiltration-over-dns-with-zeek"},{"name":"detecting-fileless-attacks-on-endpoints","description":"Detects fileless malware and in-memory attacks that execute entirely in RAM without writing persistent files to disk, evading traditional antivirus. Use when building detections for PowerShell-based attacks, reflective DLL injection, WMI persistence, and registry-resident malware. Activates for requests involving fileless malware detection, in-memory attacks, PowerShell exploitation, or living-off-the-land techniques.","domain":"cybersecurity","path":"skills/detecting-fileless-attacks-on-endpoints"},{"name":"detecting-fileless-malware-techniques","description":"Detects and analyzes fileless malware that operates entirely in memory using PowerShell, WMI, .NET reflection, registry-resident payloads, and living-off-the-land binaries (LOLBins) without writing traditional executable files to disk. Use for requests involving fileless threat detection, in-memory malware investigation, LOLBin abuse analysis, or WMI persistence examination.","domain":"cybersecurity","path":"skills/detecting-fileless-malware-techniques"},{"name":"detecting-golden-ticket-attacks-in-kerberos-logs","description":"Detect Golden Ticket attacks in Active Directory using Splunk and KQL queries against domain controller event logs, looking for Kerberos TGT anomalies such as mismatched encryption types, impossible ticket lifetimes, non-existent accounts, and forged PAC signatures. Use when hunting for Kerberos ticket forgery or krbtgt-based persistence (MITRE T1558.001) in AD environments.","domain":"cybersecurity","path":"skills/detecting-golden-ticket-attacks-in-kerberos-logs"},{"name":"detecting-golden-ticket-forgery","description":"Detect Kerberos Golden Ticket forgery (e.g. Mimikatz-forged tickets) by analyzing Windows Event ID 4769 for RC4 encryption downgrades (0x17), abnormal ticket lifetimes, and krbtgt account anomalies using Splunk and Elastic SIEM queries. Use when investigating suspected forged Kerberos tickets or krbtgt credential theft in Active Directory.","domain":"cybersecurity","path":"skills/detecting-golden-ticket-forgery"},{"name":"detecting-indirect-prompt-injection","description":"Detect and defend against indirect prompt injection hidden in web pages, documents, and images consumed by an agent, via content extraction (HTML/PDF/OCR), normalization, and scanning with LLM Guard's PromptInjection scanner or Hugging Face Prompt Guard 2. Use when an agent ingests untrusted external content and you need to screen it for injected instructions before the LLM processes it.","domain":"cybersecurity","path":"skills/detecting-indirect-prompt-injection"},{"name":"detecting-insider-data-exfiltration-via-dlp","description":"Detects insider data exfiltration by analyzing DLP policy violations, file access patterns, upload volume anomalies, and off-hours activity in endpoint and cloud logs. Uses pandas for behavioral analytics and statistical baselines. Use when investigating insider threats or building user behavior analytics for data loss prevention.","domain":"cybersecurity","path":"skills/detecting-insider-data-exfiltration-via-dlp"},{"name":"detecting-insider-threat-behaviors","description":"Detect insider threat behavioral indicators including unusual data access, off-hours activity, mass file downloads, privilege abuse, and resignation-correlated data theft. Use when proactively threat-hunting for malicious or negligent insider activity, or when investigating a departing or disgruntled employee for potential data theft.","domain":"cybersecurity","path":"skills/detecting-insider-threat-behaviors"},{"name":"detecting-insider-threat-with-ueba","description":"Implement User and Entity Behavior Analytics (UEBA) using Elasticsearch/OpenSearch to build behavioral baselines, calculate anomaly scores, perform peer group analysis, and alert on insider threat indicators such as data exfiltration, privilege abuse, and unauthorized access. Use when building or tuning a UEBA pipeline rather than a one-off manual hunt.","domain":"cybersecurity","path":"skills/detecting-insider-threat-with-ueba"},{"name":"detecting-kerberoasting-attacks","description":"Detect Kerberoasting attacks by monitoring for anomalous Kerberos TGS requests (Event ID 4769) targeting service accounts with SPNs, which attackers request offline to crack service account passwords. Use when hunting for MITRE T1558 credential access activity or investigating suspected service account password cracking attempts in Active Directory Kerberos logs.","domain":"cybersecurity","path":"skills/detecting-kerberoasting-attacks"},{"name":"detecting-lateral-movement-in-network","description":"Identifies lateral movement techniques in enterprise networks by analyzing authentication logs, network flows, SMB traffic, and RDP sessions using Zeek, Velociraptor, and SIEM correlation rules to detect attackers moving between systems.","domain":"cybersecurity","path":"skills/detecting-lateral-movement-in-network"},{"name":"detecting-lateral-movement-with-splunk","description":"Detect adversary lateral movement across networks using Splunk SPL queries against Windows authentication logs, SMB traffic, and remote service (WMI/PsExec/RDP) abuse. Use when hunting for MITRE ATT&CK TA0008 lateral movement activity or investigating suspected pivoting between hosts during an incident, with Splunk as the SIEM.","domain":"cybersecurity","path":"skills/detecting-lateral-movement-with-splunk"},{"name":"detecting-lateral-movement-with-zeek","description":"Detect lateral movement in network traffic using Zeek (formerly Bro) log analysis. Parses conn.log, smb_mapping.log, smb_files.log, dce_rpc.log, kerberos.log, and ntlm.log to identify SMB file transfers, NTLM account spray activity, remote service execution, and anomalous internal connections.","domain":"cybersecurity","path":"skills/detecting-lateral-movement-with-zeek"},{"name":"detecting-living-off-the-land-attacks","description":"Detect abuse of legitimate Windows binaries (LOLBins) used for living off the land attacks. Monitors process creation, command-line arguments, and parent-child relationships to identify suspicious LOLBin execution patterns.","domain":"cybersecurity","path":"skills/detecting-living-off-the-land-attacks"},{"name":"detecting-living-off-the-land-with-lolbas","description":"Detect Living Off the Land Binaries (LOLBins/LOLBAS) abuse including certutil, regsvr32, mshta, and rundll32 via process telemetry, Sigma rules, and parent-child process analysis with Sysmon endpoint data. Use when hunting for adversaries abusing built-in Windows binaries to download, execute, or proxy malicious code while evading traditional executable-based detection.","domain":"cybersecurity","path":"skills/detecting-living-off-the-land-with-lolbas"},{"name":"detecting-malicious-npm-packages","description":"Triage npm packages and lockfiles for install-script malware, credential exfiltration, and worming behavior using GuardDog, manual tarball inspection, and dynamic detonation with network/filesystem monitoring. Use when vetting a new dependency, reviewing a package.json/package-lock.json during code review, checking lockfiles against a supply-chain advisory's known-bad versions, or investigating a host suspected of installing a trojanized package.","domain":"cybersecurity","path":"skills/detecting-malicious-npm-packages"},{"name":"detecting-malicious-scheduled-tasks-with-sysmon","description":"Detect malicious scheduled task creation and modification using Sysmon Event IDs 1 (Process Create for schtasks.exe), 11 (File Create for task XML), and Windows Security Event 4698/4702. The analyst correlates task creation with suspicious parent processes, public directory paths, and encoded command arguments to identify persistence and lateral movement via scheduled tasks. Activates for requests involving scheduled task detection, Sysmon persistence hunting, or T1053.005 Scheduled Task/Job analysis.","domain":"cybersecurity","path":"skills/detecting-malicious-scheduled-tasks-with-sysmon"},{"name":"detecting-mimikatz-execution-patterns","description":"Detect Mimikatz credential-dumping activity via command-line pattern matching, LSASS access signatures, binary/hash indicators, and in-memory detection of known Mimikatz modules. Use when threat hunting for T1003 credential access, triaging EDR/SIEM alerts on LSASS access, scoping compromise during incident response, or validating detection coverage in a purple team exercise.","domain":"cybersecurity","path":"skills/detecting-mimikatz-execution-patterns"},{"name":"detecting-misconfigured-azure-storage","description":"Audit Azure Storage accounts for public blob containers, missing encryption, overly permissive SAS tokens, disabled logging, and network access violations using Azure CLI, PowerShell, and Microsoft Defender for Storage. Use for storage security audits across subscriptions, responding to Defender for Storage anonymous-access alerts, verifying compliance controls, or setting security baselines when onboarding a subscription.","domain":"cybersecurity","path":"skills/detecting-misconfigured-azure-storage"},{"name":"detecting-mobile-malware-behavior","description":"Detects and analyzes malicious behavior in mobile applications through behavioral analysis, permission abuse detection, network traffic monitoring, and dynamic instrumentation. Use when analyzing suspicious mobile applications for data exfiltration, command-and-control communication, credential stealing, SMS interception, or other malware indicators. Activates for requests involving mobile malware analysis, app behavior monitoring, trojan detection, or suspicious app investigation.","domain":"cybersecurity","path":"skills/detecting-mobile-malware-behavior"},{"name":"detecting-modbus-command-injection-attacks","description":"Detect command injection against Modbus TCP/RTU in ICS/SCADA environments by monitoring unauthorized writes, anomalous function codes, malformed frames, and deviations from communication baselines using ICS-aware IDS and deep packet inspection. Use when deploying IDS for Modbus OT networks, investigating unauthorized PLC register/coil changes, or responding to FrostyGoop-style Modbus attacks.","domain":"cybersecurity","path":"skills/detecting-modbus-command-injection-attacks"},{"name":"detecting-modbus-protocol-anomalies","description":"Detect anomalies in Modbus/TCP and Modbus RTU industrial traffic via function code monitoring, register range validation, timing analysis, and deep packet inspection, using Zeek's Modbus analyzer, Suricata IDS with OT rules, and Python Markov chain models of normal transaction sequences. Use for deploying Modbus IDS in OT environments, baselining polling patterns, investigating suspicious Modbus traffic, or building function code allowlists.","domain":"cybersecurity","path":"skills/detecting-modbus-protocol-anomalies"},{"name":"detecting-model-extraction-attacks","description":"Detect MITRE ATLAS AML.T0024 attacks (model stealing, inversion, membership inference) performed via inference-API abuse, by monitoring per-principal query volume/distribution, rate-limiting and perturbing outputs, and red-teaming your model's extractability. Use for a public or partner inference API needing cloning/inversion/membership-inference detection, or a pre-deployment red-team exercise to measure extraction risk.","domain":"cybersecurity","path":"skills/detecting-model-extraction-attacks"},{"name":"detecting-network-anomalies-with-zeek","description":"Deploy and configure Zeek (formerly Bro) to passively analyze network traffic, generate structured connection/DNS/HTTP/SSL/file logs, detect anomalous behavior, and write custom scripts for organization-specific threats. Use for passive monitoring at network choke points, feeding SIEM/threat hunting with protocol metadata, or retrospective log analysis during incident response; not a substitute for inline IDS/IPS or host agents.","domain":"cybersecurity","path":"skills/detecting-network-anomalies-with-zeek"},{"name":"detecting-network-scanning-with-ids-signatures","description":"Detect network reconnaissance and port scanning using Suricata and Snort IDS signatures, threshold-based detection rules, and traffic anomaly analysis to identify Nmap, Masscan, and custom scanning activity.","domain":"cybersecurity","path":"skills/detecting-network-scanning-with-ids-signatures"},{"name":"detecting-ntlm-relay-with-event-correlation","description":"Detect NTLM relay attacks (T1557.001) by correlating Windows Event 4624 LogonType 3 for IP-to-hostname mismatches, identifying Responder/LLMNR poisoning artifacts, auditing SMB/LDAP signing, and flagging NTLMv2-to-NTLMv1 downgrades. Use for hunting credential relay in NTLM-enabled AD, investigating auth-source anomalies, building SIEM correlation rules, or responding to PetitPotam/DFSCoerce/PrinterBug alerts.","domain":"cybersecurity","path":"skills/detecting-ntlm-relay-with-event-correlation"},{"name":"detecting-oauth-token-theft","description":"Detect and respond to OAuth token theft and replay in Microsoft Entra ID (Azure AD), covering access token theft, refresh token replay, Primary Refresh Token (PRT) abuse, pass-the-cookie attacks, and Token Protection conditional access policies. Use for impossible-travel or anomalous token-usage alerts, suspected session hijacking, sign-in log analysis, or configuring token-binding defenses in Azure/M365.","domain":"cybersecurity","path":"skills/detecting-oauth-token-theft"},{"name":"detecting-pass-the-hash-attacks","description":"Detect Pass-the-Hash (T1550.002) attacks by analyzing NTLM authentication patterns, flagging Type 3 logons using NTLM where Kerberos would be expected, and correlating with credential-dumping indicators. Use when threat hunting for lateral movement via stolen NTLM hashes, triaging EDR/SIEM alerts on suspicious NTLM logons, scoping compromise during incident response, or validating detection coverage in a purple team exercise.","domain":"cybersecurity","path":"skills/detecting-pass-the-hash-attacks"},{"name":"detecting-pass-the-ticket-attacks","description":"Detect Kerberos Pass-the-Ticket (PtT) attacks by analyzing Windows Event IDs 4768, 4769, and 4771 for anomalous ticket usage patterns, with detection queries for Splunk and Elastic SIEM. Use when investigating incidents involving stolen or replayed Kerberos tickets, building detection rules or threat hunting queries for ticket abuse, or validating SOC monitoring coverage for credential-theft attack techniques.","domain":"cybersecurity","path":"skills/detecting-pass-the-ticket-attacks"},{"name":"detecting-port-scanning-with-fail2ban","description":"Configures Fail2ban with custom filters and actions to detect port scanning activity, SSH brute force attempts, and network reconnaissance, automatically banning offending IP addresses and alerting security teams to suspicious network probing.","domain":"cybersecurity","path":"skills/detecting-port-scanning-with-fail2ban"},{"name":"detecting-privilege-escalation-attempts","description":"Detect privilege escalation attempts across Windows and Linux, including access token manipulation, UAC bypass, unquoted service path abuse, kernel exploits, and sudo/doas abuse. Use when threat hunting for T1068-style privilege escalation, triaging EDR/SIEM alerts on suspicious privilege changes, scoping compromise during incident response, or validating detection coverage in a purple team exercise.","domain":"cybersecurity","path":"skills/detecting-privilege-escalation-attempts"},{"name":"detecting-privilege-escalation-in-kubernetes-pods","description":"Detects and prevents privilege escalation inside Kubernetes pods by combining admission control (OPA policies), runtime monitoring (Falco), and audit log analysis of security contexts, Linux capabilities, and syscall patterns. Use when investigating a pod running as root or privileged, hardening workloads against in-pod escalation, or hunting for containers exceeding their intended scope. Keywords: allowPrivilegeEscalation, runAsRoot, capabilities, securityContext, OPA, Falco, audit log. Do not use for escalation through RBAC and service-account permissions - use auditing-kubernetes-rbac-privilege-escalation.","domain":"cybersecurity","path":"skills/detecting-privilege-escalation-in-kubernetes-pods"},{"name":"detecting-process-hollowing-technique","description":"Detect process hollowing (MITRE T1055.012) by analyzing memory-mapped sections, hollowed process indicators, and parent-child anomalies using EDR telemetry, Volatility's malfind plugin, pe-sieve, Hollows Hunter, and Sysmon Event ID 25. Use when investigating a legitimate-looking process (svchost.exe, explorer.exe, rundll32.exe) suspected of hosting injected code via NtUnmapViewOfSection.","domain":"cybersecurity","path":"skills/detecting-process-hollowing-technique"},{"name":"detecting-process-injection-techniques","description":"Detects and analyzes process injection techniques used by malware including classic DLL injection, process hollowing, APC injection, thread hijacking, and reflective loading. Uses memory forensics, API monitoring, and behavioral analysis to identify injection artifacts. Activates for requests involving process injection detection, code injection analysis, hollowed process investigation, or in-memory threat detection.","domain":"cybersecurity","path":"skills/detecting-process-injection-techniques"},{"name":"detecting-qr-code-phishing-with-email-security","description":"Detect and prevent QR code phishing (quishing) attacks that embed malicious URLs inside QR code images to bypass link-based email security, using image-based threat detection, OCR/QR decoding, and mobile-side scanning (Microsoft Defender for O365, Proofpoint TAP, Barracuda Multimodal AI). Use when configuring gateway rules against QR phishing or investigating suspicious emails containing QR codes.","domain":"cybersecurity","path":"skills/detecting-qr-code-phishing-with-email-security"},{"name":"detecting-ransomware-encryption-behavior","description":"Detects ransomware encryption activity in real time using entropy analysis, file system I/O monitoring (Sysmon, watchdog, psutil), and behavioral scoring to identify mass file modification, abnormal entropy spikes in written data, and suspicious process behavior characteristic of encryption routines. Use when building real-time ransomware detection, tuning entropy thresholds, or investigating suspected active encryption on an endpoint.","domain":"cybersecurity","path":"skills/detecting-ransomware-encryption-behavior"},{"name":"detecting-ransomware-precursors-in-network","description":"Detects early-stage ransomware indicators in network traffic before encryption begins, including initial access broker activity, command-and-control beaconing, credential harvesting, reconnaissance scanning, and staging behavior. Uses network detection tools (Zeek, Suricata, Arkime), SIEM correlation rules, and threat intelligence feeds to identify ransomware precursor patterns such as Cobalt Strike beacons, Mimikatz network signatures, and RDP brute-force attempts. Activates for requests involving pre-ransomware detection, network-based ransomware indicators, or early warning ransomware monitoring.","domain":"cybersecurity","path":"skills/detecting-ransomware-precursors-in-network"},{"name":"detecting-rdp-brute-force-attacks","description":"Detect RDP brute force attacks by parsing Windows Security Event Logs (EVTX files, via python-evtx) for failed logon patterns (Event ID 4625, Logon Type 10/3), correlating with successful logons (Event ID 4624), and analyzing NLA failures and source IP frequency. Use when investigating exposed RDP endpoints, building SIEM detection rules for credential guessing, or confirming whether a compromised account followed a brute-force pattern.","domain":"cybersecurity","path":"skills/detecting-rdp-brute-force-attacks"},{"name":"detecting-rootkit-activity","description":"Detects rootkit presence on compromised systems by identifying hidden processes, hooked system calls, modified kernel structures, and covert network connections using Volatility memory forensics, cross-view detection, and tools like GMER, rkhunter, chkrootkit, and RootkitRevealer. Use when standard tools (Task Manager, netstat, AV/EDR) show nothing abnormal but compromise is suspected.","domain":"cybersecurity","path":"skills/detecting-rootkit-activity"},{"name":"detecting-s3-data-exfiltration-attempts","description":"Detecting data exfiltration attempts from AWS S3 buckets by analyzing CloudTrail S3 data events, VPC Flow Logs, GuardDuty findings, Amazon Macie alerts, and S3 access patterns to identify unauthorized bulk downloads and cross-account data transfers.","domain":"cybersecurity","path":"skills/detecting-s3-data-exfiltration-attempts"},{"name":"detecting-secure-boot-bypass","description":"Detect UEFI Secure Boot bypasses and bootkits such as BlackLotus and Bootkitty by verifying Secure Boot state, checking dbx revocation currency, and hashing EFI boot binaries against known-bad sets using mokutil, efi-readvar/dbxtool, CHIPSEC, sbverify/pesign, and Windows Confirm-SecureBootUEFI. Use when auditing fleet dbx rollout after a bootkit advisory or hunting for pre-OS persistence on a suspected-compromised endpoint.","domain":"cybersecurity","path":"skills/detecting-secure-boot-bypass"},{"name":"detecting-serverless-function-injection","description":"Detects and prevents code injection attacks targeting serverless functions (AWS Lambda, Azure Functions, Google Cloud Functions) through event source poisoning, malicious layer injection, runtime command execution, and IAM privilege escalation via function modification. The analyst combines static analysis of function code, CloudTrail event correlation, runtime behavior monitoring, and IAM policy auditing to identify injection vectors across the expanded serverless attack surface including API Gateway, S3, SQS, DynamoDB Streams, and CloudWatch event triggers. Activates for requests involving Lambda security assessment, serverless injection detection, function event poisoning analysis, or serverless privilege escalation investigation.","domain":"cybersecurity","path":"skills/detecting-serverless-function-injection"},{"name":"detecting-service-account-abuse","description":"Detect abuse of service accounts by hunting for anomalous interactive logons, privilege escalation, and lateral movement using EDR/SIEM telemetry (CrowdStrike Falcon, Microsoft Defender, Splunk, Elastic Security, Sysmon, Velociraptor) and Sigma detection rules. Use when hunting for service-account misuse or investigating a service account performing unexpected interactive logons.","domain":"cybersecurity","path":"skills/detecting-service-account-abuse"},{"name":"detecting-shadow-api-endpoints","description":"Discover and inventory shadow API endpoints that operate outside documented OpenAPI/Swagger specs, using traffic analysis against API gateways (Kong, AWS API Gateway, Envoy), cloud configuration scanning, and source code repository mining for undocumented routes. Use when assessing API attack surface, auditing for forgotten test environments or deprecated API versions still running, or building an API registration governance policy.","domain":"cybersecurity","path":"skills/detecting-shadow-api-endpoints"},{"name":"detecting-shadow-it-cloud-usage","description":"Detect unauthorized SaaS and cloud service usage (shadow IT) by parsing proxy access logs, DNS query logs, and firewall/netflow data with Python pandas to aggregate traffic by domain, classify domains against known SaaS categories, and score risk by data volume and user count. Use when auditing an organization for unsanctioned cloud/SaaS usage or generating a shadow IT discovery report with remediation recommendations.","domain":"cybersecurity","path":"skills/detecting-shadow-it-cloud-usage"},{"name":"detecting-spearphishing-with-email-gateway","description":"Detect and block spearphishing emails that use personalized, researched content to evade generic spam filters, by configuring email security gateway (SEG) impersonation protection, URL rewriting, attachment sandboxing, and custom detection rules in Microsoft Defender for Office 365, Proofpoint, Mimecast, or Barracuda. Use when hardening a mail gateway against targeted phishing or investigating a suspected spearphishing campaign.","domain":"cybersecurity","path":"skills/detecting-spearphishing-with-email-gateway"},{"name":"detecting-sql-injection-via-waf-logs","description":"Analyze WAF (ModSecurity/AWS WAF/Cloudflare) logs to detect SQL injection attack campaigns. Parses ModSecurity audit logs and JSON WAF event logs to identify SQLi patterns (UNION SELECT, OR 1=1, SLEEP(), BENCHMARK()), tracks attack sources, correlates multi-stage injection attempts, and generates incident reports with OWASP classification.","domain":"cybersecurity","path":"skills/detecting-sql-injection-via-waf-logs"},{"name":"detecting-stuxnet-style-attacks","description":"Detects sophisticated cyber-physical attacks that follow the Stuxnet pattern of modifying PLC logic while spoofing sensor readings to hide the manipulation, using PLC logic integrity monitoring (Claroty xDome, Nozomi Guardian) and physics-based process anomaly detection. Use when hunting for IT-to-OT lateral movement or discrepancies between PLC program state and physical process behavior in ICS/SCADA environments.","domain":"cybersecurity","path":"skills/detecting-stuxnet-style-attacks"},{"name":"detecting-supply-chain-attacks-in-ci-cd","description":"Scans GitHub Actions workflows and CI/CD pipeline configurations for supply chain attack vectors including unpinned actions, script injection via expressions, dependency confusion, and secrets exposure. Uses PyGithub and YAML parsing for automated audit. Use when hardening CI/CD pipelines or investigating compromised build systems.","domain":"cybersecurity","path":"skills/detecting-supply-chain-attacks-in-ci-cd"},{"name":"detecting-suspicious-oauth-application-consent","description":"Detect risky OAuth application consent grants in Azure AD / Microsoft Entra ID using Microsoft Graph API, audit logs, and permission analysis to identify illicit consent grant attacks.","domain":"cybersecurity","path":"skills/detecting-suspicious-oauth-application-consent"},{"name":"detecting-suspicious-powershell-execution","description":"Hunt for suspicious PowerShell execution (T1059.001) such as encoded commands, download cradles, AMSI bypass, and constrained language mode evasion using EDR telemetry (CrowdStrike, Microsoft Defender for Endpoint), Sysmon, and SIEM queries (Splunk, Elastic). Use when proactively threat hunting, triaging EDR/SIEM alerts, or scoping an incident involving malicious PowerShell activity.","domain":"cybersecurity","path":"skills/detecting-suspicious-powershell-execution"},{"name":"detecting-t1003-credential-dumping-with-edr","description":"Detect OS credential dumping (MITRE T1003) targeting LSASS memory, the SAM database, NTDS.dit, and cached credentials by correlating EDR telemetry, Sysmon process-access events, and Windows security event logs. Use when hunting for Mimikatz-style credential theft, triaging an EDR alert on LSASS access, or scoping an incident after suspected credential dumping.","domain":"cybersecurity","path":"skills/detecting-t1003-credential-dumping-with-edr"},{"name":"detecting-t1055-process-injection-with-sysmon","description":"Detect process injection techniques (T1055) - including DLL injection, process hollowing, and APC injection - by analyzing Sysmon Event IDs 1, 7, 8, 10, and 25 for cross-process memory operations, remote thread creation, and anomalous DLL loads. Use when hunting defense-evasion activity that hides code inside legitimate processes, investigating an EDR alert on suspicious cross-process access, or validating Sysmon coverage for injection detection.","domain":"cybersecurity","path":"skills/detecting-t1055-process-injection-with-sysmon"},{"name":"detecting-t1548-abuse-elevation-control-mechanism","description":"Detect abuse of elevation control mechanisms (T1548), including Windows UAC bypass via auto-elevating binaries like fodhelper.exe and Linux sudo/setuid/setgid exploitation, by monitoring registry changes, integrity-level transitions, and parent-child process relationships via Sysmon and Windows Security events. Use when hunting privilege-escalation activity or validating elevation-abuse detection coverage.","domain":"cybersecurity","path":"skills/detecting-t1548-abuse-elevation-control-mechanism"},{"name":"detecting-typosquatting-packages","description":"Flag misspelled, brandjacked, and typosquatted package names across npm, PyPI, and crates.io before installation, using edit-distance, keyboard-proximity, and known-target corpus matching with typomania, Microsoft OSSGadget's oss-find-squats, and pypi-scan. Use before adding a new dependency, as a CI/CD gate on pull requests, when reviewing an AI-generated (\"slopsquatting\") dependency list, or when auditing a lockfile diff for a swapped package.","domain":"cybersecurity","path":"skills/detecting-typosquatting-packages"},{"name":"detecting-typosquatting-packages-in-npm-pypi","description":"Detects typosquatting attacks in npm and PyPI package registries by analyzing package name similarity using Levenshtein distance and other string metrics, examining publish date heuristics to identify recently created packages mimicking established ones, and flagging download count anomalies where suspicious packages have disproportionately low usage compared to their legitimate targets. The analyst queries the PyPI JSON API and npm registry API to gather package metadata for automated comparison. Activates for requests involving package typosquatting detection, dependency confusion analysis, malicious package identification, or software supply chain threat hunting in package registries.","domain":"cybersecurity","path":"skills/detecting-typosquatting-packages-in-npm-pypi"},{"name":"detecting-wmi-persistence","description":"Detect WMI event subscription persistence (MITRE T1546.003) by analyzing Sysmon Event IDs 19, 20, and 21 for malicious EventFilter, EventConsumer, and FilterToConsumerBinding creation, cross-referenced against root\\subscription namespace contents and Sysinternals Autoruns. Use when hunting WMI-based persistence, triaging a Sysmon alert on these event IDs, or during incident response and purple-team validation of WMI defenses.","domain":"cybersecurity","path":"skills/detecting-wmi-persistence"},{"name":"emulating-cloud-attacks-with-stratus-red-team","description":"Install and run Stratus Red Team to detonate granular, MITRE ATT&CK-mapped AWS, Azure, GCP, and Kubernetes attack techniques through their warmup-detonate-revert-cleanup lifecycle, then verify the telemetry they generate. Use to validate that cloud detections (CloudTrail, GuardDuty, Microsoft Sentinel, GCP SCC, Falco) actually fire, or to run a repeatable purple-team exercise generating realistic attacker telemetry.","domain":"cybersecurity","path":"skills/emulating-cloud-attacks-with-stratus-red-team"},{"name":"enumerating-cloud-with-cloudfox","description":"Run CloudFox's read-only Describe/List/Get enumeration (all-checks, role-trusts, secrets, endpoints, and permissions commands) to map AWS and Azure attack paths and surface exploitable misconfigurations. Use immediately after obtaining a cloud credential to build situational awareness, find exposed resources and secrets, or map sts:AssumeRole trust relationships for lateral-movement/privilege-escalation planning.","domain":"cybersecurity","path":"skills/enumerating-cloud-with-cloudfox"},{"name":"eradicating-malware-from-infected-systems","description":"Systematically map and remove malware, backdoors, and attacker persistence mechanisms (registry Run keys, scheduled tasks, WMI subscriptions, services, cron/init.d) from infected Windows and Linux systems using Autoruns, EDR/AV, and YARA, restoring a clean state while preventing re-infection. Use after containment and forensic analysis have identified all compromised systems and persistence mechanisms and you are ready to eradicate and recover.","domain":"cybersecurity","path":"skills/eradicating-malware-from-infected-systems"},{"name":"escaping-containers-to-host","description":"Exploits privileged pods, host mounts, runC CVEs, and exposed Docker sockets to break out of a container and reach the underlying host during an authorized container-security assessment. Use when executing an approved breakout test, demonstrating the real impact of a privileged or hostPath workload, or validating that escape mitigations actually hold. Keywords: container breakout, privileged, hostPath, docker.sock, runC CVE-2019-5736, CVE-2024-21626, release_agent, nsenter. Do not use for defensive detection of these techniques - use detecting-container-escape-attempts.","domain":"cybersecurity","path":"skills/escaping-containers-to-host"},{"name":"evaluating-threat-intelligence-platforms","description":"Evaluates and selects Threat Intelligence Platform (TIP) products based on organizational requirements including feed integration capability, STIX/TAXII support, workflow automation, analyst interface, and total cost of ownership. Use when conducting a TIP procurement, migrating between TIP solutions, or assessing whether the current TIP meets program maturity requirements. Activates for requests involving ThreatConnect, MISP, OpenCTI, Anomali, EclecticIQ, or TIP procurement decisions.","domain":"cybersecurity","path":"skills/evaluating-threat-intelligence-platforms"},{"name":"executing-active-directory-attack-simulation","description":"Executes authorized attack simulations against Active Directory environments to identify misconfigurations, weak credentials, dangerous privilege paths, and exploitable trust relationships that could lead to domain compromise. The tester uses BloodHound for attack path analysis, Mimikatz for credential extraction, and Impacket for protocol-level attacks including Kerberoasting, AS-REP Roasting, and delegation abuse. Activates for requests involving Active Directory pentest, AD attack simulation, domain compromise testing, or Kerberos attack assessment.","domain":"cybersecurity","path":"skills/executing-active-directory-attack-simulation"},{"name":"executing-nist-rmf-authorization-to-operate","description":"Drive a federal system through the NIST Risk Management Framework (SP 800-37 Rev 2) to an Authorization to Operate (ATO): Prepare, Categorize (FIPS 199), Select a control baseline (FIPS 200 / SP 800-53 Rev 5), Implement, Assess (SP 800-53A), Authorize, and Monitor continuously. Use when a system needs an ATO or a renewal, when working a FISMA/FedRAMP authorization package, when building or reviewing an SSP, SAR, or POA&M, when categorizing a system as Low/Moderate/High impact, when selecting or tailoring a control baseline, or when standing up continuous monitoring (ConMon) after authorization. Covers ATO, conditional ATO (cATO), and the artifacts assessors expect. Keywords: NIST RMF, 800-37, ATO, authorization to operate, FISMA, FedRAMP, SSP, SAR, POA&M, FIPS 199, FIPS 200, 800-53, 800-53A, control baseline, security categorization, continuous monitoring, authorizing official, system boundary, ongoing authorization.","domain":"cybersecurity","path":"skills/executing-nist-rmf-authorization-to-operate"},{"name":"executing-phishing-simulation-campaign","description":"Executes authorized phishing simulation campaigns to assess an organization's susceptibility to email-based social engineering attacks. The tester designs realistic phishing scenarios, builds credential harvesting infrastructure, sends targeted phishing emails, and tracks open rates, click-through rates, and credential submission rates to measure human security awareness. Activates for requests involving phishing simulation, social engineering assessment, email security testing, or security awareness measurement.","domain":"cybersecurity","path":"skills/executing-phishing-simulation-campaign"},{"name":"executing-red-team-engagement-planning","description":"Build the foundational red team engagement plan - scope definition, Rules of Engagement (restrictions, communication plan, emergency stop procedures, legal authorization), MITRE ATT&CK-aligned threat profile selection, and operational timelines - producing an engagement brief for stakeholder approval. Use before any offensive testing begins, when scoping a full-scope, assumed-breach, objective-based, or purple-team engagement.","domain":"cybersecurity","path":"skills/executing-red-team-engagement-planning"},{"name":"executing-red-team-exercise","description":"Run a stealthy, MITRE ATT&CK-mapped adversary emulation against an organization's people, processes, and technology, using C2 infrastructure (Cobalt Strike, Sliver, Brute Ratel, Mythic) through the full attack lifecycle to test SOC detection and response rather than just find vulnerabilities. Use when executing a full-scope red team exercise, adversary simulation/emulation, or a regulatory exercise (TIBER-EU, CBEST, AASE, iCAST) with executive authorization and a signed Rules of Engagement already in place.","domain":"cybersecurity","path":"skills/executing-red-team-exercise"},{"name":"exploiting-active-directory-certificate-services-esc1","description":"Exploit misconfigured Active Directory Certificate Services (AD CS) ESC1 vulnerability to request certificates as high-privileged users and escalate domain privileges during authorized red team assessments.","domain":"cybersecurity","path":"skills/exploiting-active-directory-certificate-services-esc1"},{"name":"exploiting-active-directory-with-bloodhound","description":"BloodHound is a graph-based Active Directory reconnaissance tool that uses graph theory to reveal hidden and unintended relationships within AD environments. Red teams use BloodHound to identify attac","domain":"cybersecurity","path":"skills/exploiting-active-directory-with-bloodhound"},{"name":"exploiting-adcs-with-certipy","description":"Use Certipy to enumerate AD CS certificate authorities and templates over LDAP/RPC, then exploit ESC1-ESC16 misconfigurations - SAN abuse, NTLM relay to web enrollment (ESC8), Shadow Credentials, golden certificate forgery, and PKINIT/Schannel auth. Use during authorized penetration tests to escalate a domain foothold to Domain Admin, or to validate that certificate template ACLs and CA hardening detect these attacks.","domain":"cybersecurity","path":"skills/exploiting-adcs-with-certipy"},{"name":"exploiting-api-injection-vulnerabilities","description":"Tests API parameters, headers, and request bodies for injection flaws \u2014 SQL injection, NoSQL injection, OS command injection, LDAP injection, and SSRF \u2014 by crafting payloads tailored to the target backend to extract data, execute commands, or reach internal services, mapped to OWASP API8:2023 and API7:2023 SSRF. Use when performing SQLi, NoSQL injection, command injection, or SSRF testing against APIs, or assessing API input validation.","domain":"cybersecurity","path":"skills/exploiting-api-injection-vulnerabilities"},{"name":"exploiting-aws-with-pacu","description":"Runs the Pacu AWS exploitation framework end-to-end \u2014 session and credential setup, IAM enumeration, automated privilege-escalation scanning via iam__privesc_scan, and persistence/backdooring modules like iam__backdoor_users_keys. Use for authorized AWS penetration tests or red-team engagements, assessing blast radius from a compromised IAM credential, or generating attacker telemetry for purple-team detection testing.","domain":"cybersecurity","path":"skills/exploiting-aws-with-pacu"},{"name":"exploiting-bgp-hijacking-vulnerabilities","description":"Analyzes and simulates BGP hijacking scenarios in authorized lab environments to assess route origin validation, RPKI deployment, and BGP monitoring defenses against prefix hijacking and route leak attacks on internet routing infrastructure.","domain":"cybersecurity","path":"skills/exploiting-bgp-hijacking-vulnerabilities"},{"name":"exploiting-broken-function-level-authorization","description":"Tests APIs for Broken Function Level Authorization (OWASP API5:2023) by identifying admin and privileged endpoints, then reaching them with regular-user credentials via HTTP method switching, URL path manipulation, and parameter tampering. Use when testing whether low-privilege users can invoke admin API functions or otherwise escalate privileges via function-level access control gaps.","domain":"cybersecurity","path":"skills/exploiting-broken-function-level-authorization"},{"name":"exploiting-broken-link-hijacking","description":"Discovers and exploits broken link hijacking by spidering a site (Burp Suite Spider, Scrapy, curl scraping), extracting referenced external scripts/domains, and checking DNS/CNAME records and domain registration status for expired or unclaimed resources an attacker could register. Use for subdomain takeover testing, supply-chain review of third-party scripts, or bug bounty hunting for hijackable external resources.","domain":"cybersecurity","path":"skills/exploiting-broken-link-hijacking"},{"name":"exploiting-constrained-delegation-abuse","description":"Exploits Kerberos Constrained Delegation misconfigurations in Active Directory using Impacket's findDelegation.py and getST.py (or Rubeus/Kekeo on Windows) to abuse S4U2Self and S4U2Proxy and impersonate privileged users. Use during authorized Active Directory penetration tests or red-team engagements for lateral movement and privilege escalation after finding an account trusted for constrained delegation.","domain":"cybersecurity","path":"skills/exploiting-constrained-delegation-abuse"},{"name":"exploiting-deeplink-vulnerabilities","description":"Tests and exploits deep link (URL scheme and App Link) vulnerabilities in Android and iOS mobile applications to identify unauthorized access, data injection, intent hijacking, and redirect manipulation. Use when assessing mobile app attack surface through custom URI schemes, Android App Links, iOS Universal Links, or intent-based navigation. Activates for requests involving deep link security testing, URL scheme exploitation, mobile intent abuse, or link hijacking.","domain":"cybersecurity","path":"skills/exploiting-deeplink-vulnerabilities"},{"name":"exploiting-excessive-data-exposure-in-api","description":"Tests APIs for excessive data exposure (OWASP API3:2023) by intercepting raw API responses and comparing them against what the UI actually renders, looking for leaked PII, internal identifiers, debug data, or business-sensitive fields the frontend filters but the API still transmits. Use when auditing REST or mobile-app APIs for over-fetching, response filtering bypass, or unintended data leakage in endpoint responses.","domain":"cybersecurity","path":"skills/exploiting-excessive-data-exposure-in-api"},{"name":"exploiting-http-request-smuggling","description":"Detects and exploits HTTP request smuggling caused by Content-Length/Transfer-Encoding parsing discrepancies between front-end and back-end servers, using Burp Suite Repeater (auto Content-Length disabled), the HTTP Request Smuggler extension, and smuggler.py. Use during authorized tests of multi-tier architectures behind a reverse proxy, load balancer, or CDN to find desync flaws and bypass front-end controls.","domain":"cybersecurity","path":"skills/exploiting-http-request-smuggling"},{"name":"exploiting-idor-vulnerabilities","description":"Identifies and exploits Insecure Direct Object Reference (IDOR) vulnerabilities by manipulating object identifiers (numeric IDs, UUIDs, slugs) in API requests and URLs, using Burp Suite proxy history, Intruder, and the Authorize extension to test object-level authorization across sessions. Use during authorized penetration tests or bug bounty work to validate that CRUD endpoints and multi-tenant applications enforce per-object access control.","domain":"cybersecurity","path":"skills/exploiting-idor-vulnerabilities"},{"name":"exploiting-insecure-data-storage-in-mobile","description":"Identifies and exploits insecure local data storage vulnerabilities in Android and iOS mobile applications including unencrypted databases, world-readable files, insecure SharedPreferences, plaintext credential storage, and improper keychain/keystore usage. Use when performing mobile penetration testing focused on OWASP M9 (Insecure Data Storage) or assessing compliance with MASVS-STORAGE requirements. Activates for requests involving mobile data storage security, local storage exploitation, SharedPreferences analysis, or mobile data leakage assessment.","domain":"cybersecurity","path":"skills/exploiting-insecure-data-storage-in-mobile"},{"name":"exploiting-insecure-deserialization","description":"Identifying and exploiting insecure deserialization vulnerabilities in Java, PHP, Python, and .NET applications to achieve remote code execution during authorized penetration tests.","domain":"cybersecurity","path":"skills/exploiting-insecure-deserialization"},{"name":"exploiting-ipv6-vulnerabilities","description":"Identifies and exploits IPv6-specific vulnerabilities including SLAAC spoofing, Router Advertisement flooding, and IPv6 tunneling during authorized assessments to test dual-stack security controls and IPv6-aware network defenses.","domain":"cybersecurity","path":"skills/exploiting-ipv6-vulnerabilities"},{"name":"exploiting-jwt-algorithm-confusion-attack","description":"Exploits JWT algorithm confusion where the server's verification library trusts the alg named in the token header, by switching RS256 to HS256 (signing with the RSA public key as HMAC secret), setting alg to none, or injecting kid/jku/x5u headers to supply an attacker-controlled key. Use when testing RS256 JWT auth for algorithm downgrade, alg:none bypass, or key-confusion signature forgery.","domain":"cybersecurity","path":"skills/exploiting-jwt-algorithm-confusion-attack"},{"name":"exploiting-kerberoasting-with-impacket","description":"Performs Kerberoasting (MITRE ATT&CK T1558.003) using Impacket's GetUserSPNs.py to request Kerberos TGS tickets for SPN-registered service accounts, then cracks the extracted RC4/AES-encrypted hashes offline to recover service account credentials. Use during authorized Active Directory penetration tests or red-team engagements for credential access against service accounts via Kerberos ticket-granting-service requests.","domain":"cybersecurity","path":"skills/exploiting-kerberoasting-with-impacket"},{"name":"exploiting-mass-assignment-in-rest-apis","description":"Discovers and exploits mass assignment (autobinding) in REST APIs by injecting unexpected or hidden parameters (e.g. role, isAdmin, plan) into create/update requests, using Burp Suite Intruder, Arjun, and param-miner to find bindable fields on ORM-backed endpoints (Rails, Django, Laravel, Spring). Use when testing REST APIs for privilege escalation or authorization bypass via unintended parameter binding.","domain":"cybersecurity","path":"skills/exploiting-mass-assignment-in-rest-apis"},{"name":"exploiting-ms17-010-eternalblue-vulnerability","description":"Detects and exploits MS17-010 (EternalBlue), a critical remote code execution flaw in Microsoft's SMBv1 implementation, using Nmap's ms-17-010 NSE script for detection and Metasploit's ms17_010_eternalblue/ms17_010_psexec modules for exploitation. Use during authorized red-team engagements or penetration tests against legacy Windows environments with unpatched SMBv1 to gain remote code execution.","domain":"cybersecurity","path":"skills/exploiting-ms17-010-eternalblue-vulnerability"},{"name":"exploiting-nopac-cve-2021-42278-42287","description":"Exploits the noPac Active Directory privilege-escalation chain (CVE-2021-42278 sAMAccountName spoofing plus CVE-2021-42287 KDC PAC confusion) using Impacket and secretsdump.py to escalate from a standard domain user to Domain Admin. Use when red-teaming or pentesting Active Directory to validate machine-account impersonation and DCSync-based credential dumping.","domain":"cybersecurity","path":"skills/exploiting-nopac-cve-2021-42278-42287"},{"name":"exploiting-nosql-injection-vulnerabilities","description":"Detects and exploits NoSQL injection vulnerabilities in MongoDB, CouchDB, and similar databases to demonstrate authentication bypass, data extraction, and unauthorized access via crafted query operators. Use when pentesting APIs or web applications backed by NoSQL databases to test input validation and injection defenses.","domain":"cybersecurity","path":"skills/exploiting-nosql-injection-vulnerabilities"},{"name":"exploiting-oauth-misconfiguration","description":"Identifying and exploiting OAuth 2.0 and OpenID Connect misconfigurations including redirect URI manipulation, token leakage, and authorization code theft during security assessments.","domain":"cybersecurity","path":"skills/exploiting-oauth-misconfiguration"},{"name":"exploiting-prototype-pollution-in-javascript","description":"Detects and exploits JavaScript prototype pollution vulnerabilities in client-side and server-side (Node.js) applications to achieve XSS, RCE, or authentication bypass through property injection into Object.prototype. Use when assessing a JavaScript/Node.js application for prototype pollution, especially where a merge, clone, or extend function accepts user-controlled keys.","domain":"cybersecurity","path":"skills/exploiting-prototype-pollution-in-javascript"},{"name":"exploiting-race-condition-vulnerabilities","description":"Detects and exploits race condition (TOCTOU) vulnerabilities in web applications using Burp Suite's Turbo Intruder extension and its single-packet attack technique to fire parallel requests that bypass rate limits, duplicate transactions, or overrun usage limits. Use when pentesting endpoints with balances, coupon redemption, or rate limiting that concurrent requests might manipulate.","domain":"cybersecurity","path":"skills/exploiting-race-condition-vulnerabilities"},{"name":"exploiting-server-side-request-forgery","description":"Identifying and exploiting SSRF vulnerabilities to access internal services, cloud metadata, and restricted network resources during authorized penetration tests.","domain":"cybersecurity","path":"skills/exploiting-server-side-request-forgery"},{"name":"exploiting-smb-vulnerabilities-with-metasploit","description":"Identifies and exploits SMB protocol vulnerabilities using Metasploit Framework during authorized penetration tests to demonstrate risks from unpatched Windows systems, misconfigured shares, and weak authentication in enterprise networks.","domain":"cybersecurity","path":"skills/exploiting-smb-vulnerabilities-with-metasploit"},{"name":"exploiting-sql-injection-vulnerabilities","description":"Identifies and exploits SQL injection vulnerabilities in web applications during authorized penetration tests using manual techniques and automated tools like sqlmap. The tester detects injection points through error-based, union-based, blind boolean, and time-based blind techniques across all major database engines (MySQL, PostgreSQL, MSSQL, Oracle) to demonstrate data extraction, authentication bypass, and potential remote code execution. Activates for requests involving SQL injection testing, SQLi exploitation, database security assessment, or injection vulnerability verification.","domain":"cybersecurity","path":"skills/exploiting-sql-injection-vulnerabilities"},{"name":"exploiting-sql-injection-with-sqlmap","description":"Detecting and exploiting SQL injection vulnerabilities using sqlmap to extract database contents during authorized penetration tests.","domain":"cybersecurity","path":"skills/exploiting-sql-injection-with-sqlmap"},{"name":"exploiting-template-injection-vulnerabilities","description":"Detects and exploits Server-Side Template Injection (SSTI) vulnerabilities across Jinja2, Twig, Freemarker, and other template engines to achieve remote code execution. Use when pentesting a web application that renders user input through a server-side template engine and you need to confirm and weaponize SSTI.","domain":"cybersecurity","path":"skills/exploiting-template-injection-vulnerabilities"},{"name":"exploiting-type-juggling-vulnerabilities","description":"Exploits PHP type juggling vulnerabilities caused by loose (==) comparison operators to bypass authentication, defeat hash verification via magic hashes, and manipulate application logic through type coercion. Use when pentesting PHP applications that compare user input with ==, in_array, or hash functions without strict type checks.","domain":"cybersecurity","path":"skills/exploiting-type-juggling-vulnerabilities"},{"name":"exploiting-vulnerabilities-with-metasploit-framework","description":"Uses the Metasploit Framework (msfconsole and its exploit, auxiliary, and post-exploitation modules) to validate that identified CVEs and vulnerabilities are actually exploitable, gather post-exploitation evidence, and confirm patch remediation. Use when performing vulnerability management validation, penetration testing, or post-patch verification and you need to prove real-world exploitability rather than rely on a scanner score alone.","domain":"cybersecurity","path":"skills/exploiting-vulnerabilities-with-metasploit-framework"},{"name":"exploiting-websocket-vulnerabilities","description":"Testing WebSocket implementations for authentication bypass, cross-site hijacking, injection attacks, and insecure message handling during authorized security assessments.","domain":"cybersecurity","path":"skills/exploiting-websocket-vulnerabilities"},{"name":"exploiting-zerologon-vulnerability-cve-2020-1472","description":"Exploits the Zerologon vulnerability (CVE-2020-1472) in the Netlogon Remote Protocol using Impacket to reset a domain controller's machine account password to empty, then runs DCSync via secretsdump.py to dump domain credentials. Use when red-teaming or validating unpatched Active Directory domain controllers for Zerologon, including restoring the machine account password afterward.","domain":"cybersecurity","path":"skills/exploiting-zerologon-vulnerability-cve-2020-1472"},{"name":"extracting-browser-history-artifacts","description":"Extracts and analyzes browser history, cookies, cache, downloads, and bookmarks from Chrome, Firefox, and Edge using sqlite3, DB Browser for SQLite, Hindsight, and NirSoft tools (BrowsingHistoryView, ChromeCacheView, MZCacheView). Use when performing digital forensics or incident response on a disk image or live system and you need timeline evidence of a user's web activity.","domain":"cybersecurity","path":"skills/extracting-browser-history-artifacts"},{"name":"extracting-config-from-agent-tesla-rat","description":"Extracts embedded configuration from Agent Tesla RAT samples, including SMTP/FTP/Telegram exfiltration credentials, keylogger settings, and C2 endpoints, via .NET decompilation and memory analysis. Use when analyzing a suspected or confirmed Agent Tesla sample and you need to recover its exfiltration channel and C2 configuration for threat intelligence or incident response.","domain":"cybersecurity","path":"skills/extracting-config-from-agent-tesla-rat"},{"name":"extracting-credentials-from-memory-dump","description":"Extracts cached credentials, password hashes, Kerberos tickets, and authentication tokens from Windows memory dumps using Volatility 3, Mimikatz, and pypykatz. Use when performing memory forensics or incident response on an LSASS or full memory dump and you need to recover credentials or Kerberos material for investigation.","domain":"cybersecurity","path":"skills/extracting-credentials-from-memory-dump"},{"name":"extracting-iocs-from-malware-samples","description":"Extracts indicators of compromise (IOCs) from malware samples, including file hashes, network indicators (IPs, domains, URLs, PCAP indicators), host artifacts (file paths, registry keys, mutexes), and behavioral patterns, using tools like CyberChef, then defangs and exports them in standard threat-intel formats. Use for IOC extraction, threat indicator harvesting, or building detection content from a sample.","domain":"cybersecurity","path":"skills/extracting-iocs-from-malware-samples"},{"name":"extracting-memory-artifacts-with-rekall","description":"Uses Rekall memory forensics framework to analyze memory dumps for process hollowing, injected code via VAD anomalies, hidden processes, and rootkit detection. Applies plugins like pslist, psscan, vadinfo, malfind, and dlllist to extract forensic artifacts from Windows memory images. Use during incident response memory analysis.","domain":"cybersecurity","path":"skills/extracting-memory-artifacts-with-rekall"},{"name":"extracting-windows-event-logs-artifacts","description":"Extract, parse, and analyze Windows Event Logs (EVTX) using Chainsaw, Hayabusa, and EvtxECmd to detect lateral movement, persistence, and privilege escalation.","domain":"cybersecurity","path":"skills/extracting-windows-event-logs-artifacts"},{"name":"fleet-hunting-with-velociraptor","description":"Deploy a Velociraptor server and agents, then author VQL (Velociraptor Query Language) artifacts and run them as fleet-wide hunts, on-demand forensic collections, or standalone offline collectors. Use when hunting a TTP across hundreds or thousands of endpoints, collecting forensic artifacts during incident response without re-imaging, or generating collectors for unmanaged/air-gapped hosts.","domain":"cybersecurity","path":"skills/fleet-hunting-with-velociraptor"},{"name":"generating-and-analyzing-sboms","description":"Generate CycloneDX and SPDX SBOMs from container images and filesystems with Syft, correlate them to CVEs with Grype, and sign/attest them with Cosign. Use when you need a machine-readable dependency inventory for supply-chain risk, want to scan images or SBOMs for known vulnerabilities, or are embedding SBOM generation and vulnerability gating into CI/CD.","domain":"cybersecurity","path":"skills/generating-and-analyzing-sboms"},{"name":"generating-forensic-timelines-with-hayabusa","description":"Run Hayabusa against collected Windows EVTX files to apply Sigma detection rules and produce a prioritized, chronological CSV/JSON timeline with severity levels, MITRE ATT&CK mappings, and per-host/per-Event-ID metrics. Use during DFIR triage to turn raw event logs into a fast, SIEM-free incident timeline, or to export results into Timesketch or Timeline Explorer for collaborative analysis.","domain":"cybersecurity","path":"skills/generating-forensic-timelines-with-hayabusa"},{"name":"generating-threat-intelligence-reports","description":"Generates structured cyber threat intelligence reports at strategic, operational, and tactical levels tailored to specific audiences including executives, security operations teams, and technical analysts. Use when producing finished intelligence products from raw collection data, creating sector threat briefings, or delivering post-incident intelligence assessments. Activates for requests involving CTI report writing, threat briefings, intelligence products, finished intelligence, or executive security reporting.","domain":"cybersecurity","path":"skills/generating-threat-intelligence-reports"},{"name":"hardening-docker-containers-for-production","description":"Hardens Dockerfiles, images, and per-container runtime settings against the CIS Docker Benchmark v1.8.0: non-root users, dropped capabilities, read-only root filesystem, seccomp and AppArmor profiles, and minimal multi-stage builds, validated with docker-bench-security, Hadolint, and Dockle. Use when preparing a container or Dockerfile for production, or auditing images and runtime flags against CIS Docker controls. Keywords: Dockerfile, USER, --cap-drop, read-only rootfs, seccomp, AppArmor, multi-stage, Hadolint, Dockle. Do not use for the Docker daemon's own configuration - use hardening-docker-daemon-configuration.","domain":"cybersecurity","path":"skills/hardening-docker-containers-for-production"},{"name":"hardening-docker-daemon-configuration","description":"Hardens the Docker daemon (dockerd) through /etc/docker/daemon.json with user namespace remapping, TLS client authentication, seccomp profiles, and CIS Docker Benchmark controls such as icc, no-new-privileges, and live-restore. Use when securing a Docker host's daemon to prevent privilege escalation, breakout, or lateral movement, or when auditing daemon settings against CIS requirements. Keywords: dockerd, daemon.json, userns-remap, no-new-privileges, icc, live-restore, TLS socket. Do not use for hardening images and per-container runtime flags - use hardening-docker-containers-for-production.","domain":"cybersecurity","path":"skills/hardening-docker-daemon-configuration"},{"name":"hardening-linux-endpoint-with-cis-benchmark","description":"Hardens Linux endpoints using CIS Benchmark recommendations for Ubuntu, RHEL, and CentOS to reduce attack surface, enforce security baselines, and meet compliance requirements. Use when deploying new Linux servers, remediating audit findings, or establishing security baselines for Linux infrastructure. Activates for requests involving Linux hardening, CIS benchmarks for Linux, server security baselines, or Linux configuration compliance.","domain":"cybersecurity","path":"skills/hardening-linux-endpoint-with-cis-benchmark"},{"name":"hardening-windows-endpoint-with-cis-benchmark","description":"Hardens Windows endpoints using CIS (Center for Internet Security) Benchmark recommendations to reduce attack surface, enforce security baselines, and meet compliance requirements. Use when deploying new Windows workstations or servers, remediating audit findings, or establishing organization-wide security baselines. Activates for requests involving Windows hardening, CIS benchmarks, GPO security baselines, or endpoint configuration compliance.","domain":"cybersecurity","path":"skills/hardening-windows-endpoint-with-cis-benchmark"},{"name":"hunting-advanced-persistent-threats","description":"Proactively hunts for Advanced Persistent Threat (APT) activity within enterprise environments using hypothesis-driven searches across endpoint telemetry, network logs, and memory artifacts. Use when conducting scheduled threat hunting cycles, investigating anomalous behavior flagged by UEBA, or validating that known APT TTPs are not present in the environment. Activates for requests involving MITRE ATT&CK, Velociraptor, osquery, Zeek, or threat hunting playbooks.","domain":"cybersecurity","path":"skills/hunting-advanced-persistent-threats"},{"name":"hunting-bootkits-in-efi-system-partition","description":"Baseline the EFI System Partition and hunt malicious EFI binaries such as ESPecter, BlackLotus, Bootkitty, and Glupteba by mounting the ESP, hashing and verifying boot loaders, scanning with YARA, and flagging anomalous non-EFI files or out-of-band bootloader changes. Use during proactive threat hunts for firmware/bootkit persistence (MITRE ATT&CK T1542.003) or when investigating suspected UEFI-level compromise that survives OS reinstall.","domain":"cybersecurity","path":"skills/hunting-bootkits-in-efi-system-partition"},{"name":"hunting-credential-stuffing-attacks","description":"Detects credential stuffing attacks by analyzing authentication logs for login velocity anomalies, ASN diversity, password spray patterns, and geographic distribution of failed logins. Uses statistical analysis on Splunk or raw log data. Use when investigating account takeover campaigns or building detection rules for auth abuse.","domain":"cybersecurity","path":"skills/hunting-credential-stuffing-attacks"},{"name":"hunting-evtx-with-chainsaw","description":"Run Chainsaw against collected Windows EVTX files to hunt with the SigmaHQ rule corpus, built-in detection rules, and high-speed keyword/regex search, plus analyze shimcache, SRUM, and event-log gaps, outputting colorized tables, CSV, or JSON. Use during first-response triage for offline, SIEM-free detection over Windows event logs, or to quickly confirm a hunt hypothesis and produce reporting output.","domain":"cybersecurity","path":"skills/hunting-evtx-with-chainsaw"},{"name":"hunting-for-anomalous-powershell-execution","description":"Hunt for malicious PowerShell activity by analyzing Script Block Logging (Event 4104), Module Logging (Event 4103), and process creation events. The analyst parses Windows Event Log EVTX files to detect obfuscated commands, AMSI bypass attempts, encoded payloads, credential dumping keywords, and suspicious download cradles. Activates for requests involving PowerShell threat hunting, script block analysis, encoded command detection, or AMSI bypass identification.","domain":"cybersecurity","path":"skills/hunting-for-anomalous-powershell-execution"},{"name":"hunting-for-beaconing-with-frequency-analysis","description":"Identify command-and-control beaconing patterns in network traffic by applying statistical frequency analysis, jitter calculation, and coefficient of variation scoring to detect periodic callbacks from compromised endpoints.","domain":"cybersecurity","path":"skills/hunting-for-beaconing-with-frequency-analysis"},{"name":"hunting-for-cobalt-strike-beacons","description":"Detect Cobalt Strike beacon command-and-control traffic using default TLS certificate signatures (serial 8BB00EE), JA3/JA3S/JARM fingerprints, HTTP malleable C2 profile pattern matching, and beacon jitter/interval analysis, built with Zeek network logs, Suricata IDS rules, and Python PCAP analysis. Use when hunting for Cobalt Strike beacon callbacks in network traffic or building detection rules for this C2 framework.","domain":"cybersecurity","path":"skills/hunting-for-cobalt-strike-beacons"},{"name":"hunting-for-command-and-control-beaconing","description":"Detect C2 beaconing patterns in network traffic using frequency analysis, jitter detection, and domain reputation to identify compromised endpoints communicating with adversary infrastructure.","domain":"cybersecurity","path":"skills/hunting-for-command-and-control-beaconing"},{"name":"hunting-for-data-exfiltration-indicators","description":"Hunt for data exfiltration by analyzing Zeek and Suricata network telemetry for unusual data flows, DNS tunneling via large/frequent TXT queries, uploads to personal cloud storage, and encrypted-channel abuse, correlated against threat intel on destination domains. Use when hunting for data theft in a compromised environment, investigating unusual outbound data volumes, or determining what data was stolen during incident response.","domain":"cybersecurity","path":"skills/hunting-for-data-exfiltration-indicators"},{"name":"hunting-for-data-staging-before-exfiltration","description":"Detect data-staging activity (MITRE ATT&CK T1074) by analyzing EDR/Sysmon process-creation and file-system telemetry (Event ID 4688, Sysmon 1/11) for 7-Zip/RAR/tar archive creation, unusual temp or hidden folder access, and anomalous consolidation of files from multiple directories. Use when hunting for pre-exfiltration staging behavior, building detection rules for archiver abuse, or validating monitoring coverage for T1074.","domain":"cybersecurity","path":"skills/hunting-for-data-staging-before-exfiltration"},{"name":"hunting-for-dcom-lateral-movement","description":"Hunt for DCOM-based lateral movement (MITRE ATT&CK T1021.003) by detecting abuse of MMC20.Application, ShellBrowserWindow, and ShellWindows COM objects via Sysmon Event ID 1/3 correlation, WMI event analysis, and RPC endpoint mapper traffic on port 135. Use when investigating suspicious mmc.exe/dllhost.exe child processes, building T1021.003 detections, or auditing DCOM exposure during purple-team exercises.","domain":"cybersecurity","path":"skills/hunting-for-dcom-lateral-movement"},{"name":"hunting-for-dcsync-attacks","description":"Detect DCSync attacks (MITRE ATT&CK T1003.006) by analyzing Windows Event ID 4662 (AccessMask 0x100) for DS-Replication-Get-Changes and DS-Replication-Get-Changes-All requests issued by non-domain-controller accounts. Use when hunting for DCSync credential theft, after detecting Mimikatz-class tooling, or during incident response and purple-team exercises involving Active Directory replication abuse.","domain":"cybersecurity","path":"skills/hunting-for-dcsync-attacks"},{"name":"hunting-for-defense-evasion-via-timestomping","description":"Detect NTFS timestamp manipulation (MITRE T1070.006) by comparing $STANDARD_INFORMATION vs $FILE_NAME timestamps in the MFT. Uses analyzeMFT and Python to identify files with anomalous temporal patterns indicating anti-forensic timestomping activity.","domain":"cybersecurity","path":"skills/hunting-for-defense-evasion-via-timestomping"},{"name":"hunting-for-dns-based-persistence","description":"Hunts for DNS-based persistence mechanisms such as DNS hijacking, dangling CNAME records enabling subdomain takeover, wildcard DNS abuse, and unauthorized zone or NS delegation changes, using passive DNS history (SecurityTrails API), Route53/Azure DNS/Cloudflare audit logs, and zone transfer analysis. Use when investigating suspected DNS hijacking or subdomain takeover, or when threat hunting for DNS record tampering that persists across credential rotations and endpoint reimaging.","domain":"cybersecurity","path":"skills/hunting-for-dns-based-persistence"},{"name":"hunting-for-dns-tunneling-with-zeek","description":"Detects DNS tunneling and covert-channel data exfiltration by analyzing Zeek dns.log for high-entropy subdomain queries, excessive query volume, abnormally long query lengths, and unusual DNS record types (TXT/NULL/CNAME). Use when hunting for DNS-based data exfiltration or C2 covert channels in network traffic, or when triaging suspicious DNS query volume/patterns surfaced by Zeek logs.","domain":"cybersecurity","path":"skills/hunting-for-dns-tunneling-with-zeek"},{"name":"hunting-for-domain-fronting-c2-traffic","description":"Detects domain fronting C2 traffic by analyzing SNI-vs-HTTP-Host-header mismatches in proxy logs and inspecting TLS certificate discrepancies with pyOpenSSL. Use when hunting for command-and-control traffic hidden behind legitimate CDN domains, or when investigating proxy/TLS logs for signs of domain fronting evasion.","domain":"cybersecurity","path":"skills/hunting-for-domain-fronting-c2-traffic"},{"name":"hunting-for-lateral-movement-via-wmi","description":"Detects WMI-based lateral movement (e.g. wmic process call create, Win32_Process.Create()) by analyzing Windows Event ID 4688 and Sysmon Event ID 1 for WmiPrvSE.exe spawning suspicious child processes like cmd.exe or powershell.exe, plus WMI-Activity/Operational events 5857/5860/5861 for subscription-based persistence. Use when hunting for remote code execution via WMI or investigating lateral movement across Windows hosts.","domain":"cybersecurity","path":"skills/hunting-for-lateral-movement-via-wmi"},{"name":"hunting-for-living-off-the-cloud-techniques","description":"Hunts for adversary abuse of legitimate cloud services (Azure, AWS, GCP, and SaaS platforms) for command-and-control, data staging, and exfiltration, i.e. \"living off the cloud\" tradecraft that blends in with normal cloud API and service activity. Use when threat hunting for cloud-native C2 channels, abnormal use of storage/SaaS services for data staging, or exfiltration hidden in legitimate cloud traffic.","domain":"cybersecurity","path":"skills/hunting-for-living-off-the-cloud-techniques"},{"name":"hunting-for-living-off-the-land-binaries","description":"Proactively hunts for adversary abuse of legitimate, signed system binaries (LOLBins) used to execute malicious payloads, download files, or proxy execution while evading application allowlisting and defense-evasion controls. Use when building LOLBins detection rules for EDR/SIEM or when threat hunting for defense-evasion activity involving trusted system binaries.","domain":"cybersecurity","path":"skills/hunting-for-living-off-the-land-binaries"},{"name":"hunting-for-lolbins-execution-in-endpoint-logs","description":"Hunts for LOLBins (Living Off the Land Binaries) abuse, mapped to MITRE T1218, by analyzing endpoint process-creation logs for suspicious execution patterns of legitimate Windows system binaries used for malicious purposes. Use when reviewing endpoint process telemetry for LOLBins-based defense evasion or building detections for signed-binary proxy execution.","domain":"cybersecurity","path":"skills/hunting-for-lolbins-execution-in-endpoint-logs"},{"name":"hunting-for-ntlm-relay-attacks","description":"Detects NTLM relay attacks (MITRE T1557.001) by analyzing Windows Event ID 4624 logon type 3 with NTLMSSP authentication, flagging IP-to-hostname mismatches, Responder/LLMNR poisoning signatures, SMB signing status, and anomalous cross-domain authentication patterns. Use when investigating credential-relay activity in Active Directory or building detections for NTLM relay and coercion-based attacks.","domain":"cybersecurity","path":"skills/hunting-for-ntlm-relay-attacks"},{"name":"hunting-for-persistence-mechanisms-in-windows","description":"Systematically hunts for adversary persistence mechanisms across Windows endpoints, covering registry Run/RunOnce keys, services, startup folders, scheduled tasks, and WMI event subscriptions. Use when performing a broad persistence sweep during incident response or building SIEM detections that cover the full range of Windows persistence techniques (MITRE T1547).","domain":"cybersecurity","path":"skills/hunting-for-persistence-mechanisms-in-windows"},{"name":"hunting-for-persistence-via-wmi-subscriptions","description":"Hunts for adversary persistence via WMI event subscriptions (MITRE T1546.003) by monitoring the creation of WMI event filters, consumers, and filter-to-consumer bindings that trigger malicious code execution on system events. Use when investigating fileless, trigger-based persistence on Windows hosts or auditing WMI repository contents for malicious event subscriptions.","domain":"cybersecurity","path":"skills/hunting-for-persistence-via-wmi-subscriptions"},{"name":"hunting-for-process-injection-techniques","description":"Detects process injection techniques (MITRE T1055) \u2014 including CreateRemoteThread injection, process hollowing, and DLL injection \u2014 by analyzing Sysmon Event IDs 8 (CreateRemoteThread) and 10 (ProcessAccess) alongside EDR process telemetry. Use when hunting for in-memory code injection or defense evasion via legitimate process abuse on Windows endpoints.","domain":"cybersecurity","path":"skills/hunting-for-process-injection-techniques"},{"name":"hunting-for-registry-persistence-mechanisms","description":"Hunts for registry-based persistence mechanisms (MITRE T1547) in Windows environments, including Run/RunOnce keys, Winlogon Shell/Userinit modifications, Image File Execution Options (IFEO) debugger injection, and COM hijacking via CLSID overrides. Use when auditing the registry for persistence artifacts or building detections for registry-based malware autostart techniques.","domain":"cybersecurity","path":"skills/hunting-for-registry-persistence-mechanisms"},{"name":"hunting-for-registry-run-key-persistence","description":"Detect MITRE ATT&CK T1547.001 registry Run key persistence by analyzing Sysmon Event ID 13 logs and registry queries to identify malicious auto-start entries.","domain":"cybersecurity","path":"skills/hunting-for-registry-run-key-persistence"},{"name":"hunting-for-scheduled-task-persistence","description":"Runs a hypothesis-driven threat hunt for Windows Scheduled Task persistence (T1053), guiding SIEM/EDR queries against task creation events (e.g. Event ID 4698), suspicious task actions, and unusual scheduling patterns. Use when hunting for scheduled-task persistence, after threat intel flags related campaigns, during incident response, or when alerts fire on schtasks/at.exe activity.","domain":"cybersecurity","path":"skills/hunting-for-scheduled-task-persistence"},{"name":"hunting-for-shadow-copy-deletion","description":"Runs a hypothesis-driven threat hunt for Volume Shadow Copy deletion (T1490) by querying SIEM/EDR telemetry for vssadmin, wmic shadowcopy, and PowerShell shadow-copy-deletion commands. Use when hunting for ransomware preparation or anti-forensics activity, after threat intel flags active campaigns, or when alerts trigger on shadow-copy deletion commands.","domain":"cybersecurity","path":"skills/hunting-for-shadow-copy-deletion"},{"name":"hunting-for-spearphishing-indicators","description":"Hunt for spearphishing campaign indicators across email logs, endpoint telemetry, and network data to detect targeted email attacks.","domain":"cybersecurity","path":"skills/hunting-for-spearphishing-indicators"},{"name":"hunting-for-startup-folder-persistence","description":"Detects T1547.001 startup folder persistence by monitoring Windows startup directories for suspicious file creation, cross-referencing Autoruns entries, and running a Python watchdog script for real-time filesystem monitoring. Use when hunting for malware or implants that survive reboot via startup-folder placement, or when validating autoruns/EDR findings against known-good startup baselines.","domain":"cybersecurity","path":"skills/hunting-for-startup-folder-persistence"},{"name":"hunting-for-supply-chain-compromise","description":"Runs a hypothesis-driven threat hunt for supply-chain compromise (T1195) by querying SIEM/EDR logs for trojanized software updates, compromised dependencies, unauthorized code modifications, and tampered build artifacts. Use when hunting after threat intel flags a compromised vendor/dependency, scoping a build-pipeline compromise, or reviewing update/build integrity.","domain":"cybersecurity","path":"skills/hunting-for-supply-chain-compromise"},{"name":"hunting-for-suspicious-scheduled-tasks","description":"Hunts for adversary persistence and execution via Windows scheduled tasks (T1053.005) by analyzing Security Event ID 4698 task-creation events, suspicious task properties, and unusual execution patterns from schtasks.exe/at.exe. Use after detecting schtasks or at.exe in process creation logs, during incident response to enumerate persistence on compromised hosts, or when Event ID 4698 fires for an unusual task.","domain":"cybersecurity","path":"skills/hunting-for-suspicious-scheduled-tasks"},{"name":"hunting-for-t1098-account-manipulation","description":"Hunts for MITRE ATT&CK T1098 account manipulation - shadow admin creation, SID history injection, group membership changes, and credential modifications - by analyzing Windows Security Event Log IDs 4738, 4728, 4732, 4756, 4670, and 5136. Use when investigating suspected privilege persistence in Active Directory, after detecting anomalous group/credential changes, or during incident response to trace account tampering.","domain":"cybersecurity","path":"skills/hunting-for-t1098-account-manipulation"},{"name":"hunting-for-unusual-network-connections","description":"Runs a hypothesis-driven threat hunt for command-and-control activity (T1071) by querying SIEM/EDR network telemetry for anomalous outbound traffic, rare destinations, non-standard ports, and unusual connection frequencies from endpoints. Use when hunting for beaconing/C2 traffic, after threat intel flags suspicious infrastructure, or when alerts fire on anomalous connections.","domain":"cybersecurity","path":"skills/hunting-for-unusual-network-connections"},{"name":"hunting-for-unusual-service-installations","description":"Detects suspicious Windows service installations (MITRE ATT&CK T1543.003) by parsing System event log Event ID 7045, analyzing service binary paths, and flagging indicators of persistence mechanisms via Sysmon/EDR telemetry. Use when hunting for new-service persistence after a suspected compromise, when Event ID 7045 fires for an unfamiliar service, or during incident response to enumerate service-based persistence on Windows hosts.","domain":"cybersecurity","path":"skills/hunting-for-unusual-service-installations"},{"name":"hunting-for-webshell-activity","description":"Runs a hypothesis-driven threat hunt for web shell deployment (T1505.003) on internet-facing servers by analyzing file creation in web directories, suspicious child-process spawning from web server processes, and anomalous HTTP request patterns. Use when hunting for web shells after a public-facing app compromise, when EDR/SIEM alerts fire on webserver process anomalies, or during incident response on internet-facing infrastructure.","domain":"cybersecurity","path":"skills/hunting-for-webshell-activity"},{"name":"hunting-saas-sso-token-abuse","description":"Hunts for stolen-session and OAuth/PRT token replay (T1550.001) by correlating Microsoft Entra ID SigninLogs SessionId/UniqueTokenIdentifier fields and Okta System Log sso/session events to spot impossible travel, refresh-token reuse, and token use from anomalous ASNs. Use when hunting MFA-bypass via stolen cookies/tokens, investigating impossible-travel alerts, or scoping SaaS lateral movement after phishing.","domain":"cybersecurity","path":"skills/hunting-saas-sso-token-abuse"},{"name":"implementing-aes-encryption-for-data-at-rest","description":"Guides implementing AES-256 encryption in GCM mode (FIPS 197) for files and data stores at rest, covering key derivation, IV/nonce management, and authenticated encryption. Use when deploying or configuring encryption for data at rest, establishing controls to meet compliance requirements, or reviewing an implementation during a security assessment.","domain":"cybersecurity","path":"skills/implementing-aes-encryption-for-data-at-rest"},{"name":"implementing-alert-fatigue-reduction","description":"Implements strategies to reduce SOC alert fatigue by tuning detection rules, consolidating duplicate alerts, implementing risk-based alerting, and measuring alert quality metrics to maintain analyst effectiveness and prevent critical alert dismissal. Use when SOC teams face overwhelming alert volumes, high false positive rates, or declining analyst performance.","domain":"cybersecurity","path":"skills/implementing-alert-fatigue-reduction"},{"name":"implementing-anti-phishing-training-program","description":"Guides designing, deploying, and measuring an anti-phishing security awareness program - baseline phishing simulations, interactive training modules, just-in-time learning, and metric tracking - using platforms like KnowBe4, Proofpoint Security Awareness, or Cofense. Use when building or maturing a phishing awareness program, establishing training controls for compliance, or measuring phishing susceptibility and reporting rates over time.","domain":"cybersecurity","path":"skills/implementing-anti-phishing-training-program"},{"name":"implementing-anti-ransomware-group-policy","description":"Configures Windows Group Policy Objects to block ransomware execution and lateral spread, covering AppLocker rules, Software Restriction Policies, Controlled Folder Access, attack surface reduction rules, and network protection settings. Use when hardening Windows endpoints against ransomware via GPO, configuring AppLocker or Controlled Folder Access, or building endpoint protection policies through Group Policy.","domain":"cybersecurity","path":"skills/implementing-anti-ransomware-group-policy"},{"name":"implementing-api-abuse-detection-with-rate-limiting","description":"Implements API abuse detection using token bucket, sliding window, and fixed window rate-limiting algorithms backed by Redis, including adaptive limits that tighten during detected attacks and relax during normal traffic. Use when defending APIs against DDoS, brute force login attempts, credential stuffing, or scraping abuse and you need to design or tune rate-limiting logic.","domain":"cybersecurity","path":"skills/implementing-api-abuse-detection-with-rate-limiting"},{"name":"implementing-api-gateway-security-controls","description":"Configures API gateways such as Kong, AWS API Gateway, Azure APIM, or Apigee as a centralized security enforcement point, covering authentication enforcement, rate limiting and throttling, request validation, IP allowlisting, TLS termination, and threat protection. Use when securing API traffic at the gateway layer, setting up gateway-level authentication and quota management, or centralizing API protection before requests reach backend services.","domain":"cybersecurity","path":"skills/implementing-api-gateway-security-controls"},{"name":"implementing-api-key-security-controls","description":"Implements secure API key generation with sufficient entropy, server-side hashing (SHA-256/bcrypt) instead of plaintext storage, per-key scoping to endpoints/IPs/rate limits, zero-downtime rotation, and automated leak monitoring across GitHub repos, logs, and client-side code. Use when designing API key formats, building key rotation or revocation workflows, or protecting server-to-server API credentials from leakage, brute force, and abuse.","domain":"cybersecurity","path":"skills/implementing-api-key-security-controls"},{"name":"implementing-api-rate-limiting-and-throttling","description":"Implements API rate limiting and throttling with token bucket, sliding window, and fixed window algorithms, configuring per-user, per-IP, and per-endpoint limits via Redis-backed counters, API gateway plugins, or middleware, and returning proper HTTP 429 responses with Retry-After headers. Use when setting up request quota management or preventing brute force, credential stuffing, and resource exhaustion attacks against APIs.","domain":"cybersecurity","path":"skills/implementing-api-rate-limiting-and-throttling"},{"name":"implementing-api-schema-validation-security","description":"Implements API schema validation using OpenAPI Specification and JSON Schema documents, enforced both at the API gateway (runtime) and during development (shift-left), to lock down request/response contracts and reject unknown properties. Use when preventing injection attacks (SQLi, XSS, XXE), blocking mass assignment, or stopping data leakage through unvalidated API responses.","domain":"cybersecurity","path":"skills/implementing-api-schema-validation-security"},{"name":"implementing-api-security-posture-management","description":"Implements API Security Posture Management (API-SPM) to continuously discover, classify, and risk-score APIs -- including internal, external, partner, and shadow endpoints -- while aggregating findings from DAST, SAST, SCA, and runtime monitoring into a unified risk view. Use when building continuous API inventory and risk-scoring, detecting configuration drift or policy violations, or unifying API risk visibility across an organization.","domain":"cybersecurity","path":"skills/implementing-api-security-posture-management"},{"name":"implementing-api-security-testing-with-42crunch","description":"Implements API security testing on the 42Crunch platform, combining API Audit for static analysis of OpenAPI definitions, API Conformance Scan for dynamic vulnerability testing, and API Protect for runtime threat prevention, integrated into CI/CD pipelines and IDEs. Use when shift-left testing APIs for OWASP API Security Top 10 vulnerabilities or setting up 42Crunch audit and conformance scanning.","domain":"cybersecurity","path":"skills/implementing-api-security-testing-with-42crunch"},{"name":"implementing-api-threat-protection-with-apigee","description":"Implements API threat protection using Google Apigee reverse-proxy policies, including JSON/XML threat protection, OAuth 2.0 enforcement, SpikeArrest rate limiting, regex-based threat detection, and Advanced API Security for detecting malicious clients. Use when shielding APIs proxied through Apigee against OWASP API Security Top 10 threats and malicious client abuse patterns.","domain":"cybersecurity","path":"skills/implementing-api-threat-protection-with-apigee"},{"name":"implementing-application-whitelisting-with-applocker","description":"Implements application whitelisting using Windows AppLocker to restrict unauthorized software execution on endpoints, reducing attack surface from malware, unauthorized tools, and shadow IT. Use when enforcing application control policies, meeting compliance requirements for software restriction, or preventing execution of unsigned or untrusted binaries. Activates for requests involving AppLocker, application whitelisting, software restriction, or executable control.","domain":"cybersecurity","path":"skills/implementing-application-whitelisting-with-applocker"},{"name":"implementing-aqua-security-for-container-scanning","description":"Deploy Aqua Security's Trivy scanner to detect vulnerabilities, misconfigurations, secrets, and license issues in container images across CI/CD pipelines and registries.","domain":"cybersecurity","path":"skills/implementing-aqua-security-for-container-scanning"},{"name":"implementing-attack-path-analysis-with-xm-cyber","description":"Deploys XM Cyber's continuous exposure management platform to build attack graphs that chain vulnerabilities, misconfigurations, identity risks, and credential weaknesses toward critical assets, identifying the small fraction of exposures sitting on converging \"choke points\". Use when mapping attack paths across an environment or prioritizing remediation within a continuous threat exposure management (CTEM) program.","domain":"cybersecurity","path":"skills/implementing-attack-path-analysis-with-xm-cyber"},{"name":"implementing-attack-surface-management","description":"Implements external attack surface management (EASM) using Shodan, Censys, and ProjectDiscovery tools (subfinder, httpx, nuclei) for asset discovery, subdomain enumeration, service fingerprinting, and exposure scoring. Includes a weighted risk scoring algorithm based on OWASP attack surface analysis methodology and the Relative Attack Surface Quotient (RSQ). Use when building continuous ASM programs or performing external reconnaissance for security assessments.","domain":"cybersecurity","path":"skills/implementing-attack-surface-management"},{"name":"implementing-aws-config-rules-for-compliance","description":"Implements AWS Config managed and custom rules for continuous compliance monitoring of AWS resources aligned to CIS and PCI DSS, configuring automatic remediation with SSM Automation and aggregating compliance data across accounts. Use when establishing continuous compliance monitoring, detecting configuration drift, or building a multi-account compliance dashboard via AWS Organizations.","domain":"cybersecurity","path":"skills/implementing-aws-config-rules-for-compliance"},{"name":"implementing-aws-iam-permission-boundaries","description":"Configures AWS IAM permission boundaries that cap the maximum permissions an identity-based policy can grant to a user or role, so effective permissions are the intersection of the identity policy and the boundary even if the policy grants AdministratorAccess. Use when letting security teams delegate IAM role and policy creation to developers for self-service while enforcing least-privilege ceilings and preventing privilege escalation.","domain":"cybersecurity","path":"skills/implementing-aws-iam-permission-boundaries"},{"name":"implementing-aws-macie-for-data-classification","description":"Enable and configure Amazon Macie via AWS CLI/Terraform to discover, classify, and protect sensitive data (PII, financial data, credentials) in S3 using ML and pattern matching, including discovery jobs, custom data identifiers, allow lists, and EventBridge-based remediation. Use when setting up S3 data classification, cloud DLP, or auditing S3 for unprotected sensitive data.","domain":"cybersecurity","path":"skills/implementing-aws-macie-for-data-classification"},{"name":"implementing-aws-nitro-enclave-security","description":"Build AWS Nitro Enclave confidential computing environments using nitro-cli to create enclave images, configure attestation-aware KMS policies with PCR condition keys, validate attestation documents against the Nitro PKI root, and set up vsock/kmstool-enclave-cli pipelines for processing PII, keys, and health records. Use for Nitro Enclave setup, attestation validation, or scoping KMS to an enclave image hash.","domain":"cybersecurity","path":"skills/implementing-aws-nitro-enclave-security"},{"name":"implementing-aws-security-hub","description":"Deploy AWS Security Hub as a centralized CSPM platform, backed by AWS Config, aggregating findings from GuardDuty, Inspector, Macie, and third-party tools; enable CIS Foundations, PCI-DSS, and NIST standards; automate remediation via EventBridge/Systems Manager; and produce Audit Manager evidence. Use for a centralized findings dashboard or compliance audit evidence; not for threat detection or container scanning.","domain":"cybersecurity","path":"skills/implementing-aws-security-hub"},{"name":"implementing-aws-security-hub-compliance","description":"Deploy AWS Security Hub, backed by AWS Config, to aggregate findings from GuardDuty, Inspector, Macie, Firewall Manager, and Prowler across multi-account AWS Organizations, enable standards like CIS AWS Foundations and PCI DSS, and automate remediation via EventBridge and Lambda. Use for centralizing AWS compliance monitoring or executive compliance dashboards; not for threat detection (GuardDuty) or data classification (Macie).","domain":"cybersecurity","path":"skills/implementing-aws-security-hub-compliance"},{"name":"implementing-azure-ad-privileged-identity-management","description":"Configure Microsoft Entra Privileged Identity Management (PIM) to convert standing privileged assignments into eligible, time-bound roles requiring justification, MFA, and approval, covering Entra roles, Azure resource roles, and PIM for Groups, plus access reviews. Use for role-assignment audits, just-in-time admin activation, or Zero Trust identity governance in Entra/Azure AD.","domain":"cybersecurity","path":"skills/implementing-azure-ad-privileged-identity-management"},{"name":"implementing-azure-defender-for-cloud","description":"Enable Microsoft Defender for Cloud (CSPM + CWPP) across VMs, containers, SQL, storage, and Key Vault, using Azure Policy for evaluation, Log Analytics for telemetry, Azure Arc for hybrid coverage, and Logic Apps for automated response. Use for Azure security monitoring, adaptive remediation, or regulatory compliance assessment; not for non-Azure-only protection or identity defense (Defender for Identity).","domain":"cybersecurity","path":"skills/implementing-azure-defender-for-cloud"},{"name":"implementing-beyondcorp-zero-trust-access-model","description":"Implement Google's BeyondCorp zero trust access model using Cloud IAP, Access Context Manager, Endpoint Verification, Chrome Enterprise Premium, and BeyondCorp Enterprise Connectors to enforce identity- and device-aware access for VPN-less application access. Use for replacing VPN, enforcing device posture checks, or securing remote/hybrid access to GCP-hosted or on-prem apps; not for raw network-level protocols.","domain":"cybersecurity","path":"skills/implementing-beyondcorp-zero-trust-access-model"},{"name":"implementing-bgp-security-with-rpki","description":"Implement RPKI-based BGP route origin validation by creating Route Origin Authorizations (ROAs) at RIRs (ARIN, RIPE, APNIC, AFRINIC, LACNIC), deploying validator software (Routinator, FORT, OctoRPKI), and configuring RPKI-to-Router protocol and ROV accept/reject policies on Cisco IOS-XE and Juniper Junos routers. Use when hardening BGP against route hijacking or leaks, or when configuring ROV filtering policy on production routers.","domain":"cybersecurity","path":"skills/implementing-bgp-security-with-rpki"},{"name":"implementing-browser-isolation-for-zero-trust","description":"Deploys remote browser isolation (RBI) as a core component of a Zero Trust architecture. Implements isolation policies with URL categorization and risk-based routing, content disarming and reconstruction (CDR) for file sanitization, data loss prevention controls within isolated sessions, and integration with Secure Web Gateway and ZTNA platforms. Based on Cloudflare Browser Isolation, Menlo Security, and Zscaler RBI approaches. Use when hardening web access against zero-day exploits, phishing, credential theft, and browser-based data exfiltration.","domain":"cybersecurity","path":"skills/implementing-browser-isolation-for-zero-trust"},{"name":"implementing-canary-tokens-for-network-intrusion","description":"Deploys DNS, HTTP, and AWS API key canary tokens across network infrastructure to detect unauthorized access and lateral movement. Integrates with webhook alerting (Slack, Teams, email, generic HTTP) for real-time intrusion notifications. Provides automated token generation, placement strategies, and monitoring for enterprise network environments. Use when building deception-based network intrusion detection with Canarytokens.org and Thinkst Canary platforms.","domain":"cybersecurity","path":"skills/implementing-canary-tokens-for-network-intrusion"},{"name":"implementing-cisa-zero-trust-maturity-model","description":"Assess, gap-analyze, and progressively implement the CISA Zero Trust Maturity Model v2.0 across five pillars (Identity, Devices, Networks, Applications & Workloads, Data) and three cross-cutting capabilities (Visibility/Analytics, Automation/Orchestration, Governance), from Traditional through Optimal maturity. Use for a federal/enterprise ZTMM assessment, phased roadmap, or mapping controls to NIST SP 800-207 and EO 14028.","domain":"cybersecurity","path":"skills/implementing-cisa-zero-trust-maturity-model"},{"name":"implementing-cloud-dlp-for-data-protection","description":"Implement cloud DLP using Amazon Macie, Google Cloud DLP API, Microsoft Purview, Azure Information Protection, and Nightfall AI to discover, classify, label, de-identify, and protect sensitive data (PII, PHI, financial data) across cloud storage, databases, and pipelines. Use for GDPR/HIPAA/PCI DSS data-discovery, cloud data governance, or CI/CD DLP scanning; not for endpoint, email, or network-level DLP.","domain":"cybersecurity","path":"skills/implementing-cloud-dlp-for-data-protection"},{"name":"implementing-cloud-security-posture-management","description":"Continuously monitor multi-cloud environments (AWS, Azure, GCP) for misconfigurations, compliance violations, and security risks using Prowler, ScoutSuite, AWS Security Hub, Microsoft Defender for Cloud, and GCP Security Command Center. Use for cross-cloud posture monitoring, CIS/SOC 2/PCI DSS compliance, or drift-detection workflows; not for runtime workload protection or application security testing.","domain":"cybersecurity","path":"skills/implementing-cloud-security-posture-management"},{"name":"implementing-cloud-trail-log-analysis","description":"Implementing AWS CloudTrail log analysis for security monitoring, threat detection, and forensic investigation using Athena, CloudWatch Logs Insights, and SIEM integration to identify unauthorized access, privilege escalation, and suspicious API activity.","domain":"cybersecurity","path":"skills/implementing-cloud-trail-log-analysis"},{"name":"implementing-cloud-vulnerability-posture-management","description":"Implement multi-cloud CSPM to detect cloud-native misconfigurations and vulnerabilities (IAM over-permissions, exposed storage, unencrypted data, missing network controls) using AWS Security Hub, Azure Defender for Cloud, and open-source Prowler and ScoutSuite scans, then aggregate results across clouds. Use when auditing multi-cloud environments for misconfiguration-driven vulnerabilities or building a consolidated cross-cloud posture report.","domain":"cybersecurity","path":"skills/implementing-cloud-vulnerability-posture-management"},{"name":"implementing-cloud-waf-rules","description":"Deploys and tunes Web Application Firewall rules on AWS WAF, Azure WAF, and Cloudflare, covering managed rule sets, custom business-logic rules, rate limiting, bot management, and false-positive reduction. Use when deploying new apps behind a cloud WAF, when pentests reveal injection/XSS flaws, when facing bot or credential-stuffing traffic, or when compliance (e.g. PCI-DSS) mandates a WAF.","domain":"cybersecurity","path":"skills/implementing-cloud-waf-rules"},{"name":"implementing-cloud-workload-protection","description":"Implements cloud workload protection using boto3 and google-cloud APIs for runtime security monitoring, process anomaly detection, and file integrity checking on EC2/GCE instances. Scans for cryptomining, reverse shells, and unauthorized binaries. Use when building runtime security controls for cloud compute workloads.","domain":"cybersecurity","path":"skills/implementing-cloud-workload-protection"},{"name":"implementing-code-signing-for-artifacts","description":"Implements code signing for build artifacts (binaries, packages, containers) using GPG, Sigstore, and platform-specific signing tools, establishing trust chains and verifying signatures in deployment pipelines. Use when establishing artifact integrity checks against supply-chain tampering, proving authenticity to customers, building zero-trust pipelines that reject unsigned artifacts, or meeting SLSA Level 2+ provenance requirements.","domain":"cybersecurity","path":"skills/implementing-code-signing-for-artifacts"},{"name":"implementing-conditional-access-policies-azure-ad","description":"Configures Microsoft Entra ID (Azure AD) Conditional Access policies for zero trust access control, covering signal-based policy design, device compliance requirements, risk-based authentication, named locations, and session controls aligned to NIST SP 1800-35. Use when deploying or hardening conditional access policies, building zero trust security architecture in Entra ID, or preparing for a security assessment of Azure AD access controls.","domain":"cybersecurity","path":"skills/implementing-conditional-access-policies-azure-ad"},{"name":"implementing-conduit-security-for-ot-remote-access","description":"Implements secure conduit architecture for OT remote access under the IEC 62443 zones-and-conduits model, deploying jump servers, MFA gateways, session recording, and approval-based workflows for vendor and engineer access to ICS. Use when replacing direct VPN access into OT networks, securing third-party vendor access to SCADA equipment, or remediating audit findings on uncontrolled OT remote access.","domain":"cybersecurity","path":"skills/implementing-conduit-security-for-ot-remote-access"},{"name":"implementing-container-image-minimal-base-with-distroless","description":"Reduces container attack surface by building application images on Google distroless base images that ship only the application runtime - no shell, package manager, or OS utilities - using multi-stage build patterns plus debugging and scanning techniques adapted to distroless. Use when hardening container images, cutting attack surface in a container architecture, or answering an assessment finding about bloated base images. Keywords: distroless, multi-stage build, no shell, nonroot tag, debug image, scratch, attack surface. Do not use for scanning an image for known CVEs - use scanning-docker-images-with-trivy.","domain":"cybersecurity","path":"skills/implementing-container-image-minimal-base-with-distroless"},{"name":"implementing-container-network-policies-with-calico","description":"Uses Calico's own policy CRDs beyond the upstream Kubernetes API - GlobalNetworkPolicy, HostEndpoint, NetworkSet, policy tiers, and DNS-based egress rules - applied and audited with calicoctl. Use when a policy must span namespaces or protect the host itself, when egress has to be expressed by domain name, or when ordering policies into tiers. Keywords: calicoctl, GlobalNetworkPolicy, HostEndpoint, NetworkSet, tier, DNS egress, order. Do not use for portable upstream NetworkPolicy - use implementing-network-policies-for-kubernetes; for installing Calico and writing standard policy with it use implementing-kubernetes-network-policy-with-calico.","domain":"cybersecurity","path":"skills/implementing-container-network-policies-with-calico"},{"name":"implementing-continuous-security-validation-with-bas","description":"Deploys Breach and Attack Simulation (BAS) platforms such as SafeBreach, AttackIQ, Picus, Cymulate, Pentera, or SCYTHE to continuously validate endpoint, network, email-gateway, SIEM, and incident-response effectiveness by safely emulating MITRE ATT&CK techniques. Use when moving beyond point-in-time pentesting to continuous control validation, or standing up automated adversary emulation.","domain":"cybersecurity","path":"skills/implementing-continuous-security-validation-with-bas"},{"name":"implementing-data-loss-prevention-with-microsoft-purview","description":"Implements DLP policies using Microsoft Purview PowerShell cmdlets and the Graph API to protect data across Exchange Online, SharePoint, OneDrive, Teams, endpoints, and Power BI, including sensitivity labels, custom sensitive information types with regex, endpoint DLP rules, and Activity Explorer monitoring. Use when stopping PII/PHI/PCI exfiltration, configuring sensitivity labels, or investigating DLP incidents for policy tuning.","domain":"cybersecurity","path":"skills/implementing-data-loss-prevention-with-microsoft-purview"},{"name":"implementing-ddos-mitigation-with-cloudflare","description":"Configure Cloudflare DDoS protection with managed rulesets, rate limiting, WAF rules, Bot Management, and origin protection to mitigate volumetric, protocol, and application-layer attacks.","domain":"cybersecurity","path":"skills/implementing-ddos-mitigation-with-cloudflare"},{"name":"implementing-deception-based-detection-with-canarytoken","description":"Deploys and monitors Canary Tokens via the Thinkst Canary REST API for deception-based breach detection, programmatically creating web bug, DNS, MS Word document, and AWS API key tokens and generating deception coverage reports from triggered alerts. Use when standing up honeytoken tripwires for early breach detection or building a deception-technology coverage report.","domain":"cybersecurity","path":"skills/implementing-deception-based-detection-with-canarytoken"},{"name":"implementing-delinea-secret-server-for-pam","description":"Implements Delinea Secret Server for privileged access management, covering secret vault configuration, role-based access policies, automated password rotation, session recording, and Active Directory/cloud integration. Use when centralizing privileged credential management, replacing spreadsheet-based secrets, automating password rotation, or meeting PAM compliance (SOX, PCI-DSS, HIPAA, NIST 800-53).","domain":"cybersecurity","path":"skills/implementing-delinea-secret-server-for-pam"},{"name":"implementing-device-posture-assessment-in-zero-trust","description":"Implements device posture assessment as a zero trust access control by integrating endpoint health signals from CrowdStrike ZTA, Microsoft Intune, and Jamf into conditional access policies that enforce compliance before granting access. Use when requiring device health checks before app access, wiring posture signals into conditional access, or implementing the CISA Zero Trust device pillar.","domain":"cybersecurity","path":"skills/implementing-device-posture-assessment-in-zero-trust"},{"name":"implementing-devsecops-security-scanning","description":"Integrates SAST, DAST, and SCA into CI/CD pipelines using Semgrep for SAST, Trivy for SCA and container scanning, OWASP ZAP for DAST, and Gitleaks for secrets detection. Use when setting up automated security scanning in CI/CD, shifting security left, meeting compliance mandates (SOC 2, PCI-DSS, ISO 27001), or gating deployments on critical vulnerabilities.","domain":"cybersecurity","path":"skills/implementing-devsecops-security-scanning"},{"name":"implementing-diamond-model-analysis","description":"The Diamond Model of Intrusion Analysis provides a structured framework for analyzing cyber intrusions by examining four core features - Adversary, Capability, Infrastructure, and Victim. This skill covers implementing the Diamond Model programmatically to classify and correlate intrusion events, build activity threads, and generate pivot-ready intelligence.","domain":"cybersecurity","path":"skills/implementing-diamond-model-analysis"},{"name":"implementing-digital-signatures-with-ed25519","description":"Implements digital signatures using the Ed25519 algorithm (Curve25519), covering key-pair generation, signing, signature verification, and security tradeoffs versus RSA and ECDSA. Use when adding message or artifact signing and authentication-integrity checks to a system, or when advising on Ed25519 key properties and validation criteria.","domain":"cybersecurity","path":"skills/implementing-digital-signatures-with-ed25519"},{"name":"implementing-disk-encryption-with-bitlocker","description":"Implements full disk encryption using Microsoft BitLocker on Windows endpoints to protect data at rest from unauthorized access in case of device loss or theft. Use when deploying encryption for compliance requirements, securing mobile workstations, or implementing data protection controls across the enterprise. Activates for requests involving BitLocker encryption, disk encryption, TPM configuration, or data-at-rest protection.","domain":"cybersecurity","path":"skills/implementing-disk-encryption-with-bitlocker"},{"name":"implementing-dmarc-dkim-spf-email-security","description":"Configures SPF, DKIM, and DMARC DNS TXT records to authenticate outbound email, prevent domain spoofing, and enforce a rejection/quarantine policy on unauthenticated mail, including auditing a domain's current DNS state. Use when hardening a domain's email security posture or defending against phishing and spoofing attacks.","domain":"cybersecurity","path":"skills/implementing-dmarc-dkim-spf-email-security"},{"name":"implementing-dragos-platform-for-ot-monitoring","description":"Deploys and configures Dragos Platform sensors and detection analytics for OT/ICS network monitoring, using industrial protocol parsers and threat-intel packs to detect groups like VOLTZITE, CHERNOVITE, and KAMACITE. Use when standing up OT-specific network detection and response or an OT SOC, or integrating OT monitoring into an enterprise SIEM; not for IT-only or Claroty/Nozomi environments.","domain":"cybersecurity","path":"skills/implementing-dragos-platform-for-ot-monitoring"},{"name":"implementing-ebpf-security-monitoring","description":"Implements eBPF-based security monitoring using Cilium Tetragon for real-time process execution tracking, network connection observability, file access auditing, and runtime enforcement. Covers TracingPolicy CRD authoring with kprobe/tracepoint hooks, in-kernel filtering via matchArgs/matchBinaries selectors, JSON event export, and integration with SIEM pipelines. Use when building kernel-level runtime security observability for Linux hosts or Kubernetes clusters.","domain":"cybersecurity","path":"skills/implementing-ebpf-security-monitoring"},{"name":"implementing-email-sandboxing-with-proofpoint","description":"Email sandboxing detonates suspicious attachments and URLs in isolated environments to detect zero-day malware and evasive phishing payloads. Proofpoint Targeted Attack Protection (TAP) is an industry","domain":"cybersecurity","path":"skills/implementing-email-sandboxing-with-proofpoint"},{"name":"implementing-end-to-end-encryption-for-messaging","description":"Implements a simplified Signal Protocol-style end-to-end encryption scheme for messaging, covering key exchange, forward secrecy, and the core cryptographic components so no server or intermediary can decrypt messages. Use when designing or building E2EE messaging, or evaluating forward-secrecy and key-management tradeoffs for a messaging system.","domain":"cybersecurity","path":"skills/implementing-end-to-end-encryption-for-messaging"},{"name":"implementing-endpoint-detection-with-wazuh","description":"Deploys and configures Wazuh SIEM/XDR for endpoint detection, covering agent authentication and management, custom decoder and rule XML creation, alert querying via the Wazuh REST API, rule testing with wazuh-logtest, and automated active-response actions. Use when setting up endpoint detection and response, writing or testing custom Wazuh rules, or querying and triaging Wazuh alerts.","domain":"cybersecurity","path":"skills/implementing-endpoint-detection-with-wazuh"},{"name":"implementing-endpoint-dlp-controls","description":"Implements endpoint Data Loss Prevention (DLP) controls to detect and prevent sensitive data exfiltration through email, USB, cloud storage, and printing. Use when deploying DLP agents, creating content inspection policies, or preventing unauthorized data movement from endpoints. Activates for requests involving DLP, data exfiltration prevention, content inspection, or sensitive data protection on endpoints.","domain":"cybersecurity","path":"skills/implementing-endpoint-dlp-controls"},{"name":"implementing-envelope-encryption-with-aws-kms","description":"Implements envelope encryption with AWS KMS, encrypting data locally with a data encryption key (DEK) and protecting that DEK with a KMS-managed key (KEK), covering the encrypt/decrypt flow, KMS key types, and security validation criteria. Use when designing key management for encrypting large or numerous data objects on AWS, or when reducing direct KMS API call volume.","domain":"cybersecurity","path":"skills/implementing-envelope-encryption-with-aws-kms"},{"name":"implementing-epss-score-for-vulnerability-prioritization","description":"Queries FIRST's Exploit Prediction Scoring System (EPSS) API to fetch exploitation-probability and percentile scores for CVEs, then uses those scores to prioritize vulnerability remediation. Use when triaging or ranking a vulnerability backlog by real-world 30-day exploitation likelihood rather than CVSS severity alone.","domain":"cybersecurity","path":"skills/implementing-epss-score-for-vulnerability-prioritization"},{"name":"implementing-file-integrity-monitoring-with-aide","description":"Configures AIDE (Advanced Intrusion Detection Environment) for file integrity monitoring on Linux, covering baseline database creation, scheduled integrity checks via cron, change detection, and alerting on unauthorized modifications. Use when setting up host-based file integrity monitoring, detecting unauthorized file changes, or meeting compliance requirements for FIM on Linux systems.","domain":"cybersecurity","path":"skills/implementing-file-integrity-monitoring-with-aide"},{"name":"implementing-fuzz-testing-in-cicd-with-aflplusplus","description":"Integrates AFL++ coverage-guided fuzzing into CI/CD pipelines, covering harness construction, AFL++/AddressSanitizer/CmpLog instrumentation builds, and persistent-mode fuzzing to discover memory-corruption and input-handling vulnerabilities in C/C++ code. Use when adding automated fuzz testing to a build pipeline or hunting for memory-safety bugs in native/compiled applications.","domain":"cybersecurity","path":"skills/implementing-fuzz-testing-in-cicd-with-aflplusplus"},{"name":"implementing-gcp-binary-authorization","description":"Implements GCP Binary Authorization end to end, including creating KMS-backed attestors, Container Analysis notes, deploy-time policies, and signing image attestations, so that only trusted, verified images deploy to GKE and Cloud Run. Use when enforcing container supply-chain integrity or deploy-time attestation checks on GCP.","domain":"cybersecurity","path":"skills/implementing-gcp-binary-authorization"},{"name":"implementing-gcp-organization-policy-constraints","description":"Implements GCP Organization Policy constraints via gcloud and Terraform, such as restricting external IPs, resource locations, default service accounts, and service account keys, plus dry-run testing of policy impact before enforcement. Use when enforcing security guardrails across an org's resource hierarchy, or hardening GCP config at the org, folder, or project level.","domain":"cybersecurity","path":"skills/implementing-gcp-organization-policy-constraints"},{"name":"implementing-gcp-vpc-firewall-rules","description":"Implements and audits GCP VPC firewall rules using gcloud, covering auditing overly permissive rules, creating restrictive ingress/egress rules, hierarchical firewall policies, and monitoring rule effectiveness with VPC Flow Logs. Use when deploying GCP workloads needing network access controls, auditing firewall configs, or responding to Security Command Center findings; not for Cloud Armor or DNS-based filtering.","domain":"cybersecurity","path":"skills/implementing-gcp-vpc-firewall-rules"},{"name":"implementing-gdpr-data-protection-controls","description":"Implements GDPR (EU 2016/679) technical and organizational measures \u2014 privacy by design/default, DPIAs, data subject rights management, 72-hour breach notification, and cross-border transfer mechanisms (SCCs, BCRs, adequacy). Use when designing or auditing GDPR controls, building a DPIA, handling data subject access/erasure requests, or assessing cross-border data transfers.","domain":"cybersecurity","path":"skills/implementing-gdpr-data-protection-controls"},{"name":"implementing-gdpr-data-subject-access-request","description":"Automates GDPR Data Subject Access Request (DSAR) workflows including identity verification, PII discovery across databases and files using regex and NER, data mapping, response templating per Article 15 requirements, deadline tracking, and audit logging. Covers ICO/EDPB guidance compliance, exemption handling, and scalable batch processing. Use when building or auditing DSAR response capabilities under GDPR/UK GDPR.","domain":"cybersecurity","path":"skills/implementing-gdpr-data-subject-access-request"},{"name":"implementing-github-advanced-security-for-code-scanning","description":"Configures GitHub Advanced Security (code scanning with CodeQL, secret scanning, dependency review, and Dependabot alerts) to perform automated static analysis and vulnerability detection across repositories at enterprise scale, including custom CodeQL queries and CI workflow integration. Use when setting up or tuning code scanning, rolling out CodeQL across an organization, or shifting SAST left into pull request workflows.","domain":"cybersecurity","path":"skills/implementing-github-advanced-security-for-code-scanning"},{"name":"implementing-google-workspace-admin-security","description":"Hardens a Google Workspace tenant via Admin Console configuration: phishing-resistant MFA enforcement, DLP policies, email authentication (SPF/DKIM/DMARC), OAuth third-party app control, and external sharing restrictions. Use when hardening a Google Workspace or G Suite tenant, enforcing MFA and OAuth app controls, or configuring cloud office security administration.","domain":"cybersecurity","path":"skills/implementing-google-workspace-admin-security"},{"name":"implementing-google-workspace-phishing-protection","description":"Configures Google Workspace advanced phishing and malware protection settings in the Admin Console \u2014 pre-delivery message scanning, attachment protection, spoofing/impersonation detection, and Enhanced Safe Browsing enforcement. Use when hardening Gmail against phishing, spoofing, and malware, or when tuning Workspace email security policies.","domain":"cybersecurity","path":"skills/implementing-google-workspace-phishing-protection"},{"name":"implementing-google-workspace-sso-configuration","description":"Configures SAML 2.0 single sign-on for Google Workspace against a third-party identity provider (Okta, Azure AD/Entra ID, ADFS), with Workspace as the Service Provider, to centralize authentication and enable immediate access revocation. Use when setting up or troubleshooting Google Workspace SSO/SAML federation or migrating from native Google passwords to an external IdP.","domain":"cybersecurity","path":"skills/implementing-google-workspace-sso-configuration"},{"name":"implementing-hardware-security-key-authentication","description":"Builds a FIDO2/WebAuthn relying party server with the python-fido2 library, covering registration and authentication ceremonies, YubiKey enrollment, resident key (discoverable credential/passkey) workflows, and user verification policies. Use when implementing phishing-resistant MFA with hardware security keys, building a WebAuthn relying party, enrolling YubiKeys for a workforce, or migrating password-based authentication to passkeys.","domain":"cybersecurity","path":"skills/implementing-hardware-security-key-authentication"},{"name":"implementing-hashicorp-vault-dynamic-secrets","description":"Configures HashiCorp Vault dynamic secrets engines for database credentials, AWS IAM keys, and PKI certificates, with automatic generation, lease management, and rotation to eliminate static secrets in application configuration. Use when eliminating long-lived static credentials, configuring a Vault secrets engine, generating ephemeral database or cloud credentials, or automating credential rotation for compliance (PCI-DSS, NIST 800-53 IA-5).","domain":"cybersecurity","path":"skills/implementing-hashicorp-vault-dynamic-secrets"},{"name":"implementing-hipaa-security-rule-safeguards","description":"Implement the HIPAA Security Rule (45 CFR Part 164 Subpart C) to protect electronic protected health information (ePHI): conduct the required risk analysis, deploy the administrative, physical, and technical safeguards, handle required vs addressable implementation specifications, execute Business Associate Agreements, and stand up breach-notification readiness. Use when an organization is a HIPAA covered entity or business associate, when protecting ePHI, when preparing for an OCR audit or responding to a breach, when performing a HIPAA Security Risk Analysis, when drafting or reviewing a BAA, or when mapping security controls to the \u00a7164.308/310/312/314/316 safeguards. Notes the 2025 NPRM proposed changes (not yet final). Keywords: HIPAA, HIPAA Security Rule, ePHI, PHI, 45 CFR 164, risk analysis, administrative safeguards, physical safeguards, technical safeguards, addressable, required, Business Associate Agreement, BAA, OCR, breach notification, HITECH, covered entity, business associate.","domain":"cybersecurity","path":"skills/implementing-hipaa-security-rule-safeguards"},{"name":"implementing-honeypot-for-ransomware-detection","description":"Deploys canary files, honeypot shares, and decoy systems to detect ransomware activity at the earliest possible stage. Configures canary tokens embedded in strategic file locations that trigger alerts when ransomware attempts encryption, uses honeypot network shares that mimic high-value targets, and deploys Thinkst Canary appliances for comprehensive deception-based detection. Activates for requests involving ransomware honeypots, canary files, deception technology for ransomware, or early ransomware alerting.","domain":"cybersecurity","path":"skills/implementing-honeypot-for-ransomware-detection"},{"name":"implementing-honeytokens-for-breach-detection","description":"Deploys canary tokens and honeytokens (fake AWS credentials, DNS canaries, document beacons, database records) that trigger alerts when accessed by attackers. Uses the Canarytokens API and custom webhook integrations for breach detection. Use when building deception-based early warning systems for intrusion detection.","domain":"cybersecurity","path":"skills/implementing-honeytokens-for-breach-detection"},{"name":"implementing-ics-firewall-with-tofino","description":"Deploys and configures Tofino industrial firewalls (Belden/Hirschmann) to protect SCADA systems and PLCs, using deep packet inspection of OT protocols (Modbus, EtherNet/IP, OPC, S7comm) to enforce access control between ICS zones. Use when deploying zone-level firewall protection in front of PLCs/RTUs, enforcing IEC 62443 zone/conduit boundaries, or adding compensating controls for unpatchable legacy PLCs.","domain":"cybersecurity","path":"skills/implementing-ics-firewall-with-tofino"},{"name":"implementing-identity-governance-with-sailpoint","description":"Deploys SailPoint IdentityNow or IdentityIQ for identity governance and administration, covering identity lifecycle management, access request workflows, certification campaigns, role mining, separation-of-duties (SOD) policy enforcement, and compliance reporting. Use when standing up or tuning an identity governance program, automating access certifications, or enforcing SOD policies across enterprise IAM.","domain":"cybersecurity","path":"skills/implementing-identity-governance-with-sailpoint"},{"name":"implementing-identity-verification-for-zero-trust","description":"Implements continuous, risk-adaptive identity verification for zero trust using phishing-resistant MFA (FIDO2/WebAuthn), risk-based conditional access, and identity governance aligned with NIST SP 800-207 and the CISA Zero Trust Maturity Model Identity Pillar. Use when designing zero trust identity controls, deploying phishing-resistant MFA, or building conditional access policies based on device posture, behavior, and location.","domain":"cybersecurity","path":"skills/implementing-identity-verification-for-zero-trust"},{"name":"implementing-iec-62443-security-zones","description":"Designs security zones and conduits for industrial control systems (IACS) per IEC 62443-3-2 \u2014 risk-based zone partitioning, Security Level target (SL-T) assignment, conduit controls, and firewall microsegmentation validated against the Purdue Reference Model. Use when designing OT network zones for a new facility, retrofitting zones into a flat OT network, or upgrading VLAN-only segmentation for IEC 62443-3-2 compliance.","domain":"cybersecurity","path":"skills/implementing-iec-62443-security-zones"},{"name":"implementing-image-provenance-verification-with-cosign","description":"Signs and verifies container image provenance with Sigstore Cosign, covering key-based and keyless OIDC signing (Fulcio, Rekor transparency log), SLSA attestations, and enforcing signature verification through Kubernetes admission control. Use when signing images for supply chain security, setting up keyless OIDC signing, attaching attestations, or enforcing a verified-images-only policy at admission. Keywords: Cosign, Sigstore, Fulcio, Rekor, keyless, attestation, cosign verify, admission policy. Do not use for in-toto layout-based pipeline attestation - use implementing-supply-chain-security-with-in-toto.","domain":"cybersecurity","path":"skills/implementing-image-provenance-verification-with-cosign"},{"name":"implementing-immutable-backup-with-restic","description":"Implements ransomware-resistant backups using restic with S3-compatible Object Lock (AWS S3, MinIO, Backblaze B2), automating backup creation, integrity checks via restic check --read-data, retention enforcement, and restore testing. Use when building immutable backup infrastructure, adding a WORM copy to a 3-2-1-1-0 strategy, or automating scheduled backup-verification workflows.","domain":"cybersecurity","path":"skills/implementing-immutable-backup-with-restic"},{"name":"implementing-infrastructure-as-code-security-scanning","description":"Implements automated security scanning for Infrastructure as Code using Checkov, tfsec, and KICS to detect misconfigurations in Terraform, CloudFormation, Kubernetes manifests, and Helm charts, plus policy-based governance and CI/CD integration. Use when validating cloud infrastructure before deployment or blocking insecure changes (public S3 buckets, open security groups) in pull requests.","domain":"cybersecurity","path":"skills/implementing-infrastructure-as-code-security-scanning"},{"name":"implementing-iso-27001-information-security-management","description":"Guides implementation of an ISO/IEC 27001:2022 Information Security Management System (ISMS) end to end: gap analysis and scoping, risk assessment methodology, Annex A control selection, Statement of Applicability (SoA) creation, and continuous improvement. Use when scoping a new ISMS, preparing for ISO 27001 certification or audit, or selecting and documenting Annex A controls for a compliance program.","domain":"cybersecurity","path":"skills/implementing-iso-27001-information-security-management"},{"name":"implementing-just-in-time-access-provisioning","description":"Implements Just-In-Time (JIT) access provisioning to eliminate standing privileges by granting temporary, time-bound access, covering approval workflows, automatic expiration/revocation, and PAM/IGA integration. Use when designing access approval workflows or replacing standing privileged accounts with time-bound, zero-trust-aligned grants.","domain":"cybersecurity","path":"skills/implementing-just-in-time-access-provisioning"},{"name":"implementing-jwt-signing-and-verification","description":"Implements secure JWT (RFC 7519) signing and verification using HMAC-SHA256, RSA-PSS, ES256, and EdDSA, including token expiration, claims validation, and defenses against algorithm-confusion, none-algorithm, and key-injection attacks. Use when adding or hardening JWT-based authentication/authorization, or when auditing token verification code for common JWT vulnerabilities.","domain":"cybersecurity","path":"skills/implementing-jwt-signing-and-verification"},{"name":"implementing-kubernetes-network-policy-with-calico","description":"Installs Calico as the cluster CNI and writes standard Kubernetes NetworkPolicy under it, covering default-deny baselines, policy ordering and precedence, service-account-based selectors, and verifying that policy is genuinely being enforced. Use when adopting Calico as the enforcement CNI, establishing a default-deny baseline, or debugging why a NetworkPolicy is not taking effect under Calico. Keywords: Calico CNI, NetworkPolicy, default deny, policy order, Felix, service account selector. Do not use for Calico-only CRDs such as GlobalNetworkPolicy or DNS egress - use implementing-container-network-policies-with-calico; for CNI-agnostic policy use implementing-network-policies-for-kubernetes.","domain":"cybersecurity","path":"skills/implementing-kubernetes-network-policy-with-calico"},{"name":"implementing-kubernetes-pod-security-standards","description":"Chooses and applies the correct Kubernetes Pod Security Standard (Privileged, Baseline, Restricted) for a workload: what each profile forbids, how to map existing workloads to a profile, which securityContext fields must change, and how to plan a PodSecurityPolicy-to-PSS migration without breaking running pods. Use when deciding which pod security profile a namespace or workload should run under, auditing which workloads would fail Restricted, planning a PSP migration, or mapping pod security posture to a compliance control. Keywords: Pod Security Standards, PSS, Privileged, Baseline, Restricted, securityContext, runAsNonRoot, drop ALL capabilities, seccomp RuntimeDefault, PSP migration. Do not use for configuring the admission controller that enforces these profiles - use implementing-pod-security-admission-controller.","domain":"cybersecurity","path":"skills/implementing-kubernetes-pod-security-standards"},{"name":"implementing-llm-guardrails-for-security","description":"Implements input/output validation guardrails for LLM applications using NVIDIA NeMo Guardrails (Colang), custom Python validators for PII detection, and the Guardrails AI framework, intercepting user inputs (prompt injection, PII, off-topic queries) and model outputs (hallucinations, toxic content, schema compliance). Use when adding safety controls to an LLM app/chatbot/RAG pipeline or validating outputs conform to expected schemas.","domain":"cybersecurity","path":"skills/implementing-llm-guardrails-for-security"},{"name":"implementing-log-forwarding-with-fluentd","description":"Configures Fluent Bit as an endpoint log forwarder and Fluentd as the central aggregator for centralized log collection, routing, filtering, and enrichment, covering input plugins for syslog/file-tailing/application logs and output routing to Elasticsearch, S3, and Splunk. Use when setting up centralized log aggregation across distributed infrastructure or generating Fluent Bit/Fluentd configuration files for a new log pipeline.","domain":"cybersecurity","path":"skills/implementing-log-forwarding-with-fluentd"},{"name":"implementing-log-integrity-with-blockchain","description":"Builds an append-only log integrity chain using SHA-256 hash chaining, where each entry incorporates the previous entry's hash so tampering invalidates all subsequent hashes; covers log ingestion (syslog/JSON/plain text), chain verification, pinpoint tamper detection, and checkpoint anchoring to external timestamping services. Use for tamper-evident log storage for compliance or forensics, or to verify whether log entries were altered.","domain":"cybersecurity","path":"skills/implementing-log-integrity-with-blockchain"},{"name":"implementing-memory-protection-with-dep-aslr","description":"Implements memory protection mechanisms including DEP (Data Execution Prevention), ASLR (Address Space Layout Randomization), CFG (Control Flow Guard), and other exploit mitigations to prevent memory corruption attacks. Use when hardening endpoints against buffer overflow exploits, ROP chains, and code injection. Activates for requests involving memory protection, exploit mitigation, DEP, ASLR, or CFG configuration.","domain":"cybersecurity","path":"skills/implementing-memory-protection-with-dep-aslr"},{"name":"implementing-microsegmentation-with-guardicore","description":"Implements microsegmentation with Akamai Guardicore Segmentation to map application dependencies, visualize east-west traffic flows, and create granular, least-privilege network policies across VMs, containers, bare metal, and cloud. Use when blocking lateral movement in a data center or when PCI DSS/HIPAA compliance requires validated network segmentation.","domain":"cybersecurity","path":"skills/implementing-microsegmentation-with-guardicore"},{"name":"implementing-mimecast-targeted-attack-protection","description":"Deploys and configures Mimecast Targeted Threat Protection (TTP) modules -- URL Protect (click-time URL rewriting/analysis), Attachment Protect (sandbox detonation), Impersonation Protect (BEC/whaling detection), and Internal Email Protect -- for Microsoft 365 or Google Workspace. Use when defending against phishing, spearphishing, or business email compromise, or configuring TTP policies in the Mimecast Administration Console.","domain":"cybersecurity","path":"skills/implementing-mimecast-targeted-attack-protection"},{"name":"implementing-mitre-attack-coverage-mapping","description":"Implement MITRE ATT&CK coverage mapping to identify detection gaps, prioritize rule development, and measure SOC detection maturity against adversary techniques.","domain":"cybersecurity","path":"skills/implementing-mitre-attack-coverage-mapping"},{"name":"implementing-mobile-application-management","description":"Implements Mobile Application Management (MAM) policies to protect enterprise data on managed and unmanaged mobile devices through app-level controls including data loss prevention, selective wipe, app configuration, and containerization. Use when securing corporate apps on BYOD devices, implementing Intune App Protection Policies, or enforcing data separation between personal and work apps. Activates for requests involving MAM deployment, app protection policies, mobile containerization, or BYOD security.","domain":"cybersecurity","path":"skills/implementing-mobile-application-management"},{"name":"implementing-mtls-for-zero-trust-services","description":"Configures mutual TLS (mTLS) authentication between microservices using Python cryptography library for certificate generation and ssl module for TLS verification. Validates certificate chains, checks expiration, and audits mTLS deployment status. Use when implementing zero-trust service-to-service authentication.","domain":"cybersecurity","path":"skills/implementing-mtls-for-zero-trust-services"},{"name":"implementing-nerc-cip-compliance-controls","description":"Implements NERC CIP controls for Bulk Electric System (BES) cyber systems: asset categorization (CIP-002), electronic security perimeters (CIP-005), system security management (CIP-007), configuration management (CIP-010), and supply chain risk (CIP-013), including 2025 MFA updates. Use when a registered entity must achieve or maintain NERC CIP compliance, prepare for a Regional Entity audit, or categorize newly commissioned BES cyber systems.","domain":"cybersecurity","path":"skills/implementing-nerc-cip-compliance-controls"},{"name":"implementing-network-access-control","description":"Implements 802.1X port-based network access control using RADIUS authentication, PacketFence NAC, and switch configuration to enforce identity-based access policies, posture assessment, and automatic VLAN assignment for authorized devices. Use when enforcing zero-trust access at the network edge, quarantining non-compliant endpoints, meeting PCI-DSS/HIPAA/SOC 2 access requirements, or onboarding BYOD devices with automated provisioning.","domain":"cybersecurity","path":"skills/implementing-network-access-control"},{"name":"implementing-network-access-control-with-cisco-ise","description":"Deploys Cisco Identity Services Engine (ISE) as a RADIUS policy server for 802.1X wired and wireless authentication, MAC Authentication Bypass, posture assessment, dynamic VLAN assignment, downloadable ACLs, and TrustSec Security Group Tags. Use when deploying enterprise NAC with ISE and Active Directory integration, enforcing endpoint posture compliance, or segmenting access with TrustSec instead of a generic 802.1X/PacketFence setup.","domain":"cybersecurity","path":"skills/implementing-network-access-control-with-cisco-ise"},{"name":"implementing-network-deception-with-honeypots","description":"Deploy and manage network honeypots using OpenCanary, T-Pot, or Cowrie to detect unauthorized access, lateral movement, and attacker reconnaissance.","domain":"cybersecurity","path":"skills/implementing-network-deception-with-honeypots"},{"name":"implementing-network-intrusion-prevention-with-suricata","description":"Deploys and configures Suricata as an inline network intrusion prevention system, covering IPS mode setup (NFQueue), custom rule writing, Emerging Threats ruleset management, performance tuning, and logging integration. Use when deploying real-time inline traffic inspection to actively block malicious traffic, or when tuning Suricata rules and performance for production IDS/IPS deployment.","domain":"cybersecurity","path":"skills/implementing-network-intrusion-prevention-with-suricata"},{"name":"implementing-network-policies-for-kubernetes","description":"Writes portable upstream Kubernetes NetworkPolicy YAML - default-deny-all, DNS egress, namespace and pod selector rules - that works on any conformant CNI such as Calico or Cilium. Use when segmentation must stay CNI-portable, introducing a default-deny posture, or restricting east-west traffic between pods and namespaces without depending on a vendor CRD. Keywords: NetworkPolicy, default deny, podSelector, namespaceSelector, ingress, egress, CNI portable. Do not use for Calico-specific resources - use implementing-kubernetes-network-policy-with-calico.","domain":"cybersecurity","path":"skills/implementing-network-policies-for-kubernetes"},{"name":"implementing-network-segmentation-for-ot","description":"Implements OT network segmentation using VLANs, OT-aware firewalls, data diodes, and IEC 62443 zone/conduit architecture, with a traffic-baseline-driven design tool for migrating flat Purdue-model networks without disrupting operations. Use when segmenting a flat OT network into Purdue levels, deploying an IT/OT DMZ, or isolating safety instrumented systems from basic process control systems.","domain":"cybersecurity","path":"skills/implementing-network-segmentation-for-ot"},{"name":"implementing-network-segmentation-with-firewall-zones","description":"Designs and implements network segmentation using firewall security zones, VLANs, inter-zone ACLs, and workload-level microsegmentation to restrict east-west lateral movement and enforce least-privilege access. Use when architecting security zones, writing inter-zone firewall policies, or meeting PCI DSS/HIPAA/NIST 800-53/zero-trust segmentation requirements for dynamic or traditional network environments.","domain":"cybersecurity","path":"skills/implementing-network-segmentation-with-firewall-zones"},{"name":"implementing-network-traffic-analysis-with-arkime","description":"Queries Arkime (formerly Moloch) full packet capture via its API to search sessions, download PCAPs, detect C2 beaconing through connection interval/jitter stats, spot DNS tunneling via query-length analysis, and flag known-bad TLS certificate issuers, using the bundled scripts/agent.py. Use when investigating suspicious network flows or doing full-packet-capture forensics against an Arkime deployment.","domain":"cybersecurity","path":"skills/implementing-network-traffic-analysis-with-arkime"},{"name":"implementing-network-traffic-baselining","description":"Builds network traffic baselines from NetFlow/IPFIX CSV or JSON exports using Python pandas, computing hourly/daily volume distributions, per-host and protocol/port statistics, and top-talker profiles, then flags outliers via z-score and IQR anomaly detection. Use when a SOC analyst needs to establish normal traffic patterns and surface deviations such as data exfiltration spikes, beaconing, or unusual port usage from historical flow data.","domain":"cybersecurity","path":"skills/implementing-network-traffic-baselining"},{"name":"implementing-next-generation-firewall-with-palo-alto","description":"Configures and deploys Palo Alto Networks next-generation firewalls end-to-end, covering App-ID application-aware policies, User-ID identity-based enforcement, zone-based security rules, SSL decryption for encrypted traffic visibility, and Content-ID threat prevention profiles. Use when moving an enterprise from port-based firewall rules to application- and identity-aware NGFW policy on Palo Alto hardware.","domain":"cybersecurity","path":"skills/implementing-next-generation-firewall-with-palo-alto"},{"name":"implementing-opa-gatekeeper-for-policy-enforcement","description":"Deploys OPA Gatekeeper via Helm as a Kubernetes admission controller and writes ConstraintTemplates with Rego plus instantiated Constraints to validate, mutate, or deny resource requests at admission time. Use when enforcing custom policy-as-code at admission on Kubernetes v1.24+, blocking non-compliant workloads before scheduling, or expressing a rule that built-in controls cannot. Keywords: Gatekeeper, ConstraintTemplate, Constraint, Rego, admission webhook, audit, mutation. Do not use for the standard pod security profiles that Pod Security Admission already covers - use implementing-pod-security-admission-controller.","domain":"cybersecurity","path":"skills/implementing-opa-gatekeeper-for-policy-enforcement"},{"name":"implementing-ot-incident-response-playbook","description":"Develops OT-specific incident response playbooks using a SANS PICERL-based Python engine that classifies incident severity (safety, process, access, recon) and coordinates IT SOC, OT engineering, and plant operations, aligned with IEC 62443 and NIST SP 800-82. Use when building ICS/SCADA incident response procedures for the first time, preparing for OT ransomware scenarios, or aligning IR with IEC 62443/NERC CIP reporting requirements.","domain":"cybersecurity","path":"skills/implementing-ot-incident-response-playbook"},{"name":"implementing-ot-network-traffic-analysis-with-nozomi","description":"Deploy Nozomi Networks Guardian sensors for passive OT network traffic analysis, providing asset visibility, behavioral anomaly detection, protocol-aware monitoring, and vulnerability assessment across industrial control systems without disrupting operations. Use when deploying OT/ICS network monitoring, configuring Guardian sensors, or building real-time threat detection for SCADA and industrial environments.","domain":"cybersecurity","path":"skills/implementing-ot-network-traffic-analysis-with-nozomi"},{"name":"implementing-pam-for-database-access","description":"Deploy privileged access management for database systems including Oracle, SQL Server, PostgreSQL, and MySQL, covering session proxy configuration, credential vaulting, query auditing, dynamic credential generation, and least-privilege database roles. Use when securing DBA access, implementing database PAM controls, or auditing privileged database sessions.","domain":"cybersecurity","path":"skills/implementing-pam-for-database-access"},{"name":"implementing-passwordless-auth-with-microsoft-entra","description":"Implements passwordless authentication using Microsoft Entra ID with FIDO2 security keys, Windows Hello for Business, Microsoft Authenticator passkeys, and certificate-based authentication to eliminate password-based attacks. Use when deploying passwordless sign-in, configuring FIDO2 passkeys, enforcing phishing-resistant MFA, or setting Microsoft Entra authentication method policies.","domain":"cybersecurity","path":"skills/implementing-passwordless-auth-with-microsoft-entra"},{"name":"implementing-passwordless-authentication-with-fido2","description":"Deploy FIDO2/WebAuthn passwordless authentication using security keys and platform authenticators, covering WebAuthn API integration, FIDO2 server configuration, passkey enrollment, biometric authentication, and migration from password-based systems aligned with NIST SP 800-63B AAL3. Use when implementing passkey login, configuring a FIDO2/WebAuthn server, or replacing passwords with phishing-resistant authentication.","domain":"cybersecurity","path":"skills/implementing-passwordless-authentication-with-fido2"},{"name":"implementing-patch-management-for-ot-systems","description":"Implements a structured patch management program for OT/ICS environments where IT-style patching can cause process disruption or safety hazards, covering vendor compatibility testing, risk-based prioritization, staged test deployment, maintenance window coordination, rollback procedures, and compensating controls. Use when planning or auditing patching for SCADA, PLCs, or other industrial control systems.","domain":"cybersecurity","path":"skills/implementing-patch-management-for-ot-systems"},{"name":"implementing-patch-management-workflow","description":"Patch management is the systematic process of identifying, testing, deploying, and verifying software updates to remediate vulnerabilities across an organization's IT infrastructure. An effective patc","domain":"cybersecurity","path":"skills/implementing-patch-management-workflow"},{"name":"implementing-pci-dss-compliance-controls","description":"Implements PCI DSS 4.0.1's 12 requirements across 6 control objectives for organizations that store, process, or transmit cardholder data, including the customized validation approach, enhanced authentication, and continuous monitoring controls introduced by the 51 requirements mandatory since March 2025. Use when scoping a cardholder data environment, building PCI DSS 4.0.1 compliance controls, or preparing for a PCI assessment.","domain":"cybersecurity","path":"skills/implementing-pci-dss-compliance-controls"},{"name":"implementing-pod-security-admission-controller","description":"Configures and operates the Kubernetes Pod Security Admission (PSA) controller that enforces Pod Security Standards: namespace enforce/audit/warn labels, cluster-wide defaults via AdmissionConfiguration, exemptions for usernames, runtime classes and namespaces, version pinning, and troubleshooting pods the controller rejected. Use when wiring PSA up on a cluster, setting cluster-wide default enforcement, exempting system namespaces, debugging why a pod was rejected or why enforcement is not firing, or reading PSA audit and warning output. Keywords: Pod Security Admission, PSA, admission controller, AdmissionConfiguration, pod-security.kubernetes.io labels, enforce audit warn, exemptions, kube-apiserver. Do not use for choosing which security profile a workload needs - use implementing-kubernetes-pod-security-standards.","domain":"cybersecurity","path":"skills/implementing-pod-security-admission-controller"},{"name":"implementing-policy-as-code-with-open-policy-agent","description":"Implements policy-as-code enforcement with Open Policy Agent (OPA) and Gatekeeper for Kubernetes and CI/CD pipelines, covering writing Rego policies, deploying OPA Gatekeeper as a Kubernetes admission controller, testing policies in development, and integrating policy evaluation into deployment pipelines. Use when writing Rego policies, deploying Gatekeeper admission control, or gating CI/CD pipelines with policy-as-code checks.","domain":"cybersecurity","path":"skills/implementing-policy-as-code-with-open-policy-agent"},{"name":"implementing-privileged-access-management-with-cyberark","description":"Deploy CyberArk Privileged Access Management to discover, vault, rotate, and monitor privileged credentials across enterprise infrastructure, covering vault architecture, session isolation, credential rotation policies, and integration with NIST 800-53 access control requirements. Use when standing up CyberArk PAM, vaulting privileged credentials, or designing credential rotation policies.","domain":"cybersecurity","path":"skills/implementing-privileged-access-management-with-cyberark"},{"name":"implementing-privileged-access-workstation","description":"Design and implement Privileged Access Workstations (PAWs) using the tiered administration model, with device hardening, device compliance enforcement via Microsoft Intune or Group Policy, just-in-time (JIT) access provisioning, and integration with PAM platforms like CyberArk or BeyondTrust. Use when hardening admin endpoints, designing a tiered administration model, or securing privileged administrative operations.","domain":"cybersecurity","path":"skills/implementing-privileged-access-workstation"},{"name":"implementing-privileged-session-monitoring","description":"Implements privileged session monitoring and recording using PAM solutions, focusing on CyberArk Privileged Session Manager (PSM) and open-source alternatives, covering session recording configuration, keystroke logging, real-time monitoring, risk-based session analysis, and compliance audit trail generation. Use when configuring CyberArk PSM, recording administrator sessions, or building compliance audit trails for privileged access.","domain":"cybersecurity","path":"skills/implementing-privileged-session-monitoring"},{"name":"implementing-proofpoint-email-security-gateway","description":"Deploy and configure Proofpoint Email Protection as a secure email gateway to detect and block phishing, malware, BEC, and spam before messages reach user inboxes.","domain":"cybersecurity","path":"skills/implementing-proofpoint-email-security-gateway"},{"name":"implementing-purdue-model-network-segmentation","description":"Implement network segmentation based on the Purdue Enterprise Reference Architecture (PERA) model, separating ICS networks into hierarchical security zones from Level 0 physical process through Level 5 enterprise and enforcing strict traffic control through IEC 62443-aligned DMZs between OT and IT domains. Use when designing ICS/SCADA network zones or segmenting OT from IT networks.","domain":"cybersecurity","path":"skills/implementing-purdue-model-network-segmentation"},{"name":"implementing-ransomware-backup-strategy","description":"Designs a ransomware-resilient backup strategy using the 3-2-1-1-0 methodology (3 copies, 2 media types, 1 offsite, 1 immutable/air-gapped, 0 restore errors), configuring RPO/RTO-aligned schedules, isolating backup credentials, and automating restore testing. Use when planning ransomware backup resilience or air-gapped/immutable backup architecture.","domain":"cybersecurity","path":"skills/implementing-ransomware-backup-strategy"},{"name":"implementing-ransomware-kill-switch-detection","description":"Analyzes ransomware kill switch mechanisms, including mutex-based execution guards, domain-based kill switches (e.g. WannaCry-style), and registry termination checks, then implements mutex vaccination and kill switch domain monitoring to stop ransomware before it runs. Use when analyzing a sample's execution guards or deploying vaccination/monitoring as a defensive control.","domain":"cybersecurity","path":"skills/implementing-ransomware-kill-switch-detection"},{"name":"implementing-rapid7-insightvm-for-scanning","description":"Deploy and configure Rapid7 InsightVM Security Console and Scan Engines, including scan templates, credentialed scanning, and Insight Agent integration, for authenticated and unauthenticated vulnerability scanning across enterprise environments. Use when standing up InsightVM infrastructure, configuring credentialed vulnerability scans, or integrating continuous asset assessment via the Insight Agent.","domain":"cybersecurity","path":"skills/implementing-rapid7-insightvm-for-scanning"},{"name":"implementing-rbac-hardening-for-kubernetes","description":"Hardens Kubernetes RBAC by designing least-privilege Roles and ClusterRoles, auditing RoleBindings, eliminating cluster-admin sprawl, separating service accounts, and integrating an external OIDC identity provider. Use when tightening cluster access control, removing excessive ClusterRoleBindings, or hardening service-account permissions against escalation and lateral movement. Keywords: RBAC, Role, ClusterRole, RoleBinding, least privilege, service account, OIDC, cluster-admin. Do not use for discovering existing escalation paths - use auditing-kubernetes-rbac-privilege-escalation.","domain":"cybersecurity","path":"skills/implementing-rbac-hardening-for-kubernetes"},{"name":"implementing-rsa-key-pair-management","description":"Generates, stores, rotates, and manages RSA key pairs following NIST SP 800-57 guidelines, covering serialization formats (PEM, DER, PKCS#8), passphrase protection, and key strength validation. Use when creating or rotating RSA keys for signatures, key exchange, or encryption, or when auditing existing keys for proper storage and NIST-compliant strength.","domain":"cybersecurity","path":"skills/implementing-rsa-key-pair-management"},{"name":"implementing-runtime-application-self-protection","description":"Deploy Runtime Application Self-Protection (RASP) agents to detect and block attacks from within application runtime, covering OpenRASP integration, attack pattern detection, and security policy configuration for Java and Python web applications.","domain":"cybersecurity","path":"skills/implementing-runtime-application-self-protection"},{"name":"implementing-runtime-security-with-tetragon","description":"Implements eBPF-based runtime observability and in-kernel enforcement in Kubernetes with Cilium Tetragon, monitoring process execution, file access, network connections, and syscalls, and blocking dangerous calls at the kernel level. Use when deploying Tetragon to detect or block syscalls such as ptrace, mount, and unshare, enforcing kernel-level policy, or adding low-overhead runtime detection to a cluster. Keywords: Tetragon, Cilium, eBPF, TracingPolicy, kprobe, enforcement, process lineage. Do not use for Falco-based detection - use detecting-container-runtime-threats-with-falco.","domain":"cybersecurity","path":"skills/implementing-runtime-security-with-tetragon"},{"name":"implementing-saml-sso-with-okta","description":"Implement SAML 2.0 Single Sign-On using Okta as the Identity Provider, covering SP-initiated and IdP-initiated flows, attribute mapping, certificate management, SHA-256 signature enforcement, and Single Logout. Use when configuring Okta SAML SSO for an application, hardening SAML certificate rotation and signing, or testing and troubleshooting SAML assertion flows with a tracer tool.","domain":"cybersecurity","path":"skills/implementing-saml-sso-with-okta"},{"name":"implementing-scim-provisioning-with-okta","description":"Implement automated user lifecycle provisioning and deprovisioning using the SCIM 2.0 protocol with Okta as the identity provider. Use when automating account creation, attribute sync, or deactivation across downstream applications through Okta SCIM integration, or when troubleshooting SCIM provisioning failures.","domain":"cybersecurity","path":"skills/implementing-scim-provisioning-with-okta"},{"name":"implementing-secret-scanning-with-gitleaks","description":"This skill covers implementing Gitleaks for detecting and preventing hardcoded secrets in git repositories. It addresses configuring pre-commit hooks, CI/CD pipeline integration, custom rule authoring for organization-specific secrets, baseline management for existing repositories, and remediation workflows for exposed credentials.","domain":"cybersecurity","path":"skills/implementing-secret-scanning-with-gitleaks"},{"name":"implementing-secrets-management-with-vault","description":"Deploy HashiCorp Vault for centralized secrets management, covering dynamic secret generation for databases and cloud providers, transit encryption, PKI certificate management, and Kubernetes integration. Use when eliminating hardcoded credentials from application code or CI/CD pipelines, migrating to short-lived auto-rotated secrets, or giving Kubernetes workloads secure access to database or cloud provider credentials.","domain":"cybersecurity","path":"skills/implementing-secrets-management-with-vault"},{"name":"implementing-secrets-scanning-in-ci-cd","description":"Integrate gitleaks and trufflehog into CI/CD pipelines to detect leaked secrets before deployment","domain":"cybersecurity","path":"skills/implementing-secrets-scanning-in-ci-cd"},{"name":"implementing-security-chaos-engineering","description":"Implements security chaos engineering experiments that deliberately disable or degrade security controls to verify detection and response capabilities. Tests WAF bypass, firewall rule removal, log pipeline disruption, and EDR disablement scenarios using boto3 and subprocess. Use when validating SOC detection coverage and resilience.","domain":"cybersecurity","path":"skills/implementing-security-chaos-engineering"},{"name":"implementing-security-information-sharing-with-stix2","description":"Create, validate, and share STIX 2.1 threat intelligence objects (indicators, malware, campaigns, relationships, bundles) using the stix2 Python library, and publish them over TAXII 2.1. Use when building or exchanging structured threat intelligence, modeling relationships between threat objects, or publishing/consuming a TAXII 2.1 feed.","domain":"cybersecurity","path":"skills/implementing-security-information-sharing-with-stix2"},{"name":"implementing-security-monitoring-with-datadog","description":"Implements security monitoring using Datadog Cloud SIEM, Cloud Security Management (CSM), and Workload Protection to detect threats, enforce compliance, and respond to security events across cloud and hybrid infrastructure. Covers Agent deployment, log source ingestion, detection rule creation, security dashboards, and automated notification workflows. Activates for requests involving Datadog security setup, Cloud SIEM configuration, CSM threat detection, or security monitoring dashboards.","domain":"cybersecurity","path":"skills/implementing-security-monitoring-with-datadog"},{"name":"implementing-semgrep-for-custom-sast-rules","description":"Write custom Semgrep SAST rules in YAML to detect application-specific vulnerabilities, enforce coding standards, and integrate into CI/CD pipelines.","domain":"cybersecurity","path":"skills/implementing-semgrep-for-custom-sast-rules"},{"name":"implementing-siem-correlation-rules-for-apt","description":"Write multi-event correlation rules in Splunk SPL and Sigma format that detect APT lateral movement by chaining Windows authentication events (4624, 4648), process execution (4688, Sysmon Event 1), and network connections (Sysmon Event 3) across hosts within sliding time windows. Use when building SIEM correlation searches to surface multi-stage attack sequences that single-event detections miss, such as pass-the-hash or lateral movement chains.","domain":"cybersecurity","path":"skills/implementing-siem-correlation-rules-for-apt"},{"name":"implementing-siem-use-case-tuning","description":"Tune SIEM detection rules in Splunk and Elastic to reduce false positives by analyzing alert volumes, creating context-aware exclusion lists, adjusting thresholds against environmental baselines, and measuring precision/recall efficacy metrics. Use when a SOC is drowning in noisy alerts and needs to tune correlation searches or detection rules, or when measuring and reporting alert-to-incident conversion rates.","domain":"cybersecurity","path":"skills/implementing-siem-use-case-tuning"},{"name":"implementing-siem-use-cases-for-detection","description":"Implements SIEM detection use cases by designing correlation rules, threshold alerts, and behavioral analytics mapped to MITRE ATT&CK techniques across Splunk, Elastic, and Sentinel. Use when SOC teams need to expand detection coverage, formalize use case lifecycle management, or build a detection library aligned to organizational threat profile.","domain":"cybersecurity","path":"skills/implementing-siem-use-cases-for-detection"},{"name":"implementing-sigstore-for-software-signing","description":"Implements Sigstore-based software signing and verification using Cosign keyless signing, Rekor transparency log verification, and Fulcio certificate authority integration to establish cryptographic provenance for container images, binaries, and software artifacts, including OIDC-based identity binding and CI/CD pipeline integration. Use when setting up keyless container/artifact signing, verifying signatures against the Rekor transparency log, or deploying Sigstore in a supply-chain security workflow.","domain":"cybersecurity","path":"skills/implementing-sigstore-for-software-signing"},{"name":"implementing-soar-automation-with-phantom","description":"Implements Security Orchestration, Automation, and Response (SOAR) workflows using Splunk SOAR (formerly Phantom) to automate alert triage, IOC enrichment, containment actions, and incident response playbooks. Use when SOC teams need to reduce manual analyst work, standardize response procedures, or integrate multiple security tools into automated workflows.","domain":"cybersecurity","path":"skills/implementing-soar-automation-with-phantom"},{"name":"implementing-soar-playbook-for-phishing","description":"Automates phishing incident response by calling the Splunk SOAR (Phantom) REST API to create containers, attach artifacts (emails, URLs, attachments), and trigger response playbooks. Use when building or wiring up a Splunk SOAR phishing playbook, ingesting a suspected phishing report into SOAR, or automating containment and triage for phishing incidents.","domain":"cybersecurity","path":"skills/implementing-soar-playbook-for-phishing"},{"name":"implementing-soar-playbook-with-palo-alto-xsoar","description":"Build automated incident response playbooks in Cortex XSOAR (Demisto) using its YAML playbook structure, integration commands, and task types to orchestrate phishing, malware, account-compromise, and DDoS response workflows across SOC tools. Use when authoring or wiring up an XSOAR playbook, adding custom XSOAR integration commands or Python automation scripts, or reducing manual SOC response time via orchestration.","domain":"cybersecurity","path":"skills/implementing-soar-playbook-with-palo-alto-xsoar"},{"name":"implementing-stix-taxii-feed-integration","description":"Implements a STIX 2.1/TAXII 2.1 threat-intelligence feed consumer and producer in Python, covering TAXII server discovery, collection polling, parsing STIX bundles with the stix2 library, and standing up a local TAXII server with Medallion. Use when integrating a STIX/TAXII CTI feed into a SIEM or TIP, writing a TAXII client to poll for new indicators, or setting up TAXII collections for indicator exchange.","domain":"cybersecurity","path":"skills/implementing-stix-taxii-feed-integration"},{"name":"implementing-supply-chain-security-with-in-toto","description":"Implements supply chain integrity verification for container builds with the in-toto framework: generating signing keys, defining a supply chain layout, recording pipeline steps as signed link metadata, verifying before deployment, enforcing at Kubernetes admission, and integrating with SLSA. Use when attesting CI/CD pipeline steps, proving an image followed the approved build process, or enforcing provenance at admission. Keywords: in-toto, layout, link metadata, step, inspection, SLSA, provenance, admission. Do not use for signing and verifying images with Cosign - use implementing-image-provenance-verification-with-cosign.","domain":"cybersecurity","path":"skills/implementing-supply-chain-security-with-in-toto"},{"name":"implementing-syslog-centralization-with-rsyslog","description":"Configure rsyslog for centralized log collection with TLS encryption, custom templates, and log rotation, generating server and client configuration files with GnuTLS stream drivers, x509 certificate authentication, per-host log segregation, and reliable queue settings. Use when building a centralized, encrypted syslog pipeline, hardening rsyslog client/server configs for high-availability log infrastructure, or troubleshooting TLS-based syslog forwarding.","domain":"cybersecurity","path":"skills/implementing-syslog-centralization-with-rsyslog"},{"name":"implementing-taxii-server-with-opentaxii","description":"Deploy and configure a TAXII 2.1 server (Medallion) with Docker, publish and consume STIX 2.1 bundles across collections, and integrate the feed with SIEM/SOAR platforms for automated indicator exchange between organizations. Use when standing up a TAXII server to share threat intel, configuring collections for CTI feeds, or automating STIX indicator ingestion into a SIEM/SOAR.","domain":"cybersecurity","path":"skills/implementing-taxii-server-with-opentaxii"},{"name":"implementing-threat-intelligence-lifecycle-management","description":"Build out a full CTI program around the six-phase threat intelligence lifecycle (direction, collection, processing, analysis, dissemination, feedback), including defining intelligence requirements, building a collection pipeline, normalizing data, and tracking dissemination feedback. Use when standing up or maturing a threat intelligence program, defining intelligence requirements, or designing collection-to-dissemination workflows for a CTI team.","domain":"cybersecurity","path":"skills/implementing-threat-intelligence-lifecycle-management"},{"name":"implementing-threat-modeling-with-mitre-attack","description":"Implements threat modeling using the MITRE ATT&CK framework to map adversary TTPs against organizational assets, assess detection coverage gaps, and prioritize defensive investments. Use when SOC teams need to align detection engineering with threat landscape, conduct threat assessments for new environments, or justify security tool procurement.","domain":"cybersecurity","path":"skills/implementing-threat-modeling-with-mitre-attack"},{"name":"implementing-ticketing-system-for-incidents","description":"Implements an integrated incident ticketing system connecting SIEM alerts to ServiceNow, Jira, or TheHive for structured incident tracking, SLA management, escalation workflows, and compliance documentation. Use when SOC teams need formalized incident lifecycle management with automated ticket creation, assignment routing, and resolution tracking.","domain":"cybersecurity","path":"skills/implementing-ticketing-system-for-incidents"},{"name":"implementing-usb-device-control-policy","description":"Implements USB device control policies to restrict unauthorized removable media access on endpoints, preventing data exfiltration and malware introduction via USB devices. Use when deploying device control via Group Policy, Intune, or EDR platforms to enforce USB restrictions. Activates for requests involving USB control, removable media policy, device control, or data loss prevention via USB.","domain":"cybersecurity","path":"skills/implementing-usb-device-control-policy"},{"name":"implementing-velociraptor-for-ir-collection","description":"Deploy and configure Velociraptor for scalable endpoint forensic artifact collection during incident response using VQL queries, hunts, and pre-built artifact packs across Windows, Linux, and macOS environments.","domain":"cybersecurity","path":"skills/implementing-velociraptor-for-ir-collection"},{"name":"implementing-vulnerability-management-with-greenbone","description":"Deploy and operate Greenbone/OpenVAS vulnerability management using the python-gvm library over the Greenbone Management Protocol (GMP) to connect via Unix socket or TLS, create scan targets and configs, execute scans, and parse the XML scan reports into actionable findings. Use when automating OpenVAS/GVM scan creation and execution, or programmatically retrieving and parsing vulnerability scan reports.","domain":"cybersecurity","path":"skills/implementing-vulnerability-management-with-greenbone"},{"name":"implementing-vulnerability-remediation-sla","description":"Design a vulnerability remediation SLA program covering asset tiering, a severity-based SLA matrix, exception processes, escalation chains, ticketing-system integration, and remediation KPIs/trending metrics. Use when defining mandatory patching timeframes by severity and asset criticality, building an SLA policy document, or setting up escalation and KPI tracking for vulnerability remediation.","domain":"cybersecurity","path":"skills/implementing-vulnerability-remediation-sla"},{"name":"implementing-vulnerability-sla-breach-alerting","description":"Build an automated SLA breach alerting system for vulnerability remediation, including a database schema for SLA tracking, breach detection logic, notification dispatch, a scheduled check runner, and a KPI/compliance metrics dashboard. Use when implementing severity-based SLA timelines (critical/high/medium/low), detecting and escalating SLA breaches, or building vulnerability remediation compliance reporting.","domain":"cybersecurity","path":"skills/implementing-vulnerability-sla-breach-alerting"},{"name":"implementing-web-application-logging-with-modsecurity","description":"Configure ModSecurity WAF with the OWASP Core Rule Set (CRS) for web application audit logging, tuning SecRuleEngine, SecAuditEngine, and CRS paranoia levels to reduce false positives, and writing custom SecRules for application-specific threats. Use when deploying or tuning a ModSecurity WAF, analyzing audit logs for attack detection, or reducing CRS false positives.","domain":"cybersecurity","path":"skills/implementing-web-application-logging-with-modsecurity"},{"name":"implementing-zero-knowledge-proof-for-authentication","description":"Implements the Schnorr identification protocol and a simplified Zero-Knowledge Password Proof (ZKPP) over the discrete logarithm problem, letting a prover authenticate by demonstrating knowledge of a secret without ever revealing it to the server. Use when designing or building password-less or password-secret-free authentication, or when a server must verify a user's credential without learning or storing the underlying secret.","domain":"cybersecurity","path":"skills/implementing-zero-knowledge-proof-for-authentication"},{"name":"implementing-zero-standing-privilege-with-cyberark","description":"Deploy CyberArk Secure Cloud Access (SCA) to eliminate standing privileges in AWS, Azure, and GCP by provisioning ephemeral, scoped roles on a just-in-time basis governed by the TEA framework (Time, Entitlements, Approvals). Use when designing or implementing zero standing privilege / just-in-time privileged access models with CyberArk, or when replacing persistent cloud admin roles with time-bound, approval-gated sessions.","domain":"cybersecurity","path":"skills/implementing-zero-standing-privilege-with-cyberark"},{"name":"implementing-zero-trust-dns-with-nextdns","description":"Configure NextDNS as an encrypted (DoH/DoT) zero trust DNS resolver that blocks malicious, phishing, and cryptojacking domains via real-time threat intelligence, detects DNS rebinding and CNAME cloaking, and enforces organizational DNS policy across endpoints. Use when deploying DNS-layer threat blocking and acceptable-use enforcement, or when extending zero trust controls (including Windows 11 Zero Trust DNS) to the DNS resolution path.","domain":"cybersecurity","path":"skills/implementing-zero-trust-dns-with-nextdns"},{"name":"implementing-zero-trust-for-saas-applications","description":"Secures SaaS apps (Microsoft 365, Google Workspace, Salesforce, Slack) via CASB/SSPM deployment, conditional access policies, OAuth app governance, and session-level DLP controls enforcing identity verification and device compliance. Use when adding MFA/device-compliance conditional access, discovering shadow IT, governing OAuth consent grants, or applying session controls to sensitive SaaS data.","domain":"cybersecurity","path":"skills/implementing-zero-trust-for-saas-applications"},{"name":"implementing-zero-trust-in-cloud","description":"Guides zero trust implementation across AWS, Azure, and GCP per NIST SP 800-207 and BeyondCorp principles, covering identity-centric access, micro-segmentation, continuous verification, device trust assessment, and Identity-Aware Proxy deployment. Use when migrating from perimeter security to identity-centric access, removing VPN dependency, or designing micro-segmentation for multi-cloud workloads.","domain":"cybersecurity","path":"skills/implementing-zero-trust-in-cloud"},{"name":"implementing-zero-trust-network-access","description":"Configures Zero Trust Network Access (ZTNA) in AWS, Azure, and GCP using identity-aware proxies, micro-segmentation, and continuous verification with conditional access policies, replacing VPN-based access with BeyondCorp-style architectures. Use when replacing VPN remote access with identity-based controls, limiting lateral movement via micro-segmentation, or exposing cloud workloads to authenticated users without public internet exposure.","domain":"cybersecurity","path":"skills/implementing-zero-trust-network-access"},{"name":"implementing-zero-trust-network-access-with-zscaler","description":"Configures Zero Trust Network Access using Zscaler Private Access (ZPA) to broker identity-based, context-aware connections between authenticated users and internal applications through the Zscaler Zero Trust Exchange, without placing users on the corporate network. Use when replacing traditional VPN architectures with ZTNA, or when brokering secure per-application access for remote and hybrid users via Zscaler.","domain":"cybersecurity","path":"skills/implementing-zero-trust-network-access-with-zscaler"},{"name":"implementing-zero-trust-with-beyondcorp","description":"Configures Google BeyondCorp Enterprise Identity-Aware Proxy (IAP) as the access enforcement point for web applications, defining Access Context Manager access levels from device trust and network attributes, and auditing the resulting policies for compliance. Use when eliminating perimeter/VPN trust for GCP resources or internal apps, or when setting up identity- and device-posture-based access controls on Google Cloud.","domain":"cybersecurity","path":"skills/implementing-zero-trust-with-beyondcorp"},{"name":"implementing-zero-trust-with-hashicorp-boundary","description":"Installs and configures HashiCorp Boundary as a default-deny, identity-aware proxy for infrastructure access, including controller/worker setup, Vault-backed credential brokering, session recording, and OIDC/LDAP auth across an org/project scope hierarchy. Use when replacing VPN or direct network access with just-in-time, credential-less Boundary sessions, or standing up Boundary controllers and workers.","domain":"cybersecurity","path":"skills/implementing-zero-trust-with-hashicorp-boundary"},{"name":"integrating-dast-with-owasp-zap-in-pipeline","description":"Integrates OWASP ZAP (Zed Attack Proxy) into GitHub Actions and GitLab CI pipelines, covering baseline, full, and API scan configuration against running applications, ZAP finding interpretation, scan policy tuning, and DAST quality gates. Use when testing running web apps or REST/GraphQL APIs for XSS, SQLi, CSRF, and auth/authz flaws, or when SAST alone is insufficient and runtime DAST is required for compliance or release gating.","domain":"cybersecurity","path":"skills/integrating-dast-with-owasp-zap-in-pipeline"},{"name":"integrating-sast-into-github-actions-pipeline","description":"Integrates CodeQL and Semgrep SAST scanning into GitHub Actions, covering scans on pull requests/pushes, rule tuning to cut false positives, SARIF upload to GitHub Advanced Security, and merge-blocking quality gates for high-severity findings. Use when adding automated code vulnerability detection to CI, enforcing consistent SAST org-wide, or producing SOC 2/PCI DSS/NIST SSDF compliance evidence.","domain":"cybersecurity","path":"skills/integrating-sast-into-github-actions-pipeline"},{"name":"intercepting-mobile-traffic-with-burpsuite","description":"Intercepts and analyzes HTTP/HTTPS traffic from mobile applications using Burp Suite proxy to identify insecure API communications, authentication flaws, data leakage, and server-side vulnerabilities. Use when performing mobile application penetration testing, assessing API security, or evaluating client-server communication patterns. Activates for requests involving mobile traffic interception, Burp Suite mobile proxy, API security testing, or mobile HTTPS analysis.","domain":"cybersecurity","path":"skills/intercepting-mobile-traffic-with-burpsuite"},{"name":"investigating-insider-threat-indicators","description":"Investigates insider threat indicators including data exfiltration attempts, unauthorized access patterns, policy violations, and pre-departure behaviors using SIEM analytics, DLP alerts, and HR data correlation. Use when SOC teams receive insider threat referrals from HR, detect anomalous data movement by employees, or need to build investigation timelines for potential insider threats.","domain":"cybersecurity","path":"skills/investigating-insider-threat-indicators"},{"name":"investigating-phishing-email-incident","description":"Investigates phishing email incidents from initial user report through header analysis, URL/attachment detonation, impacted user identification, and containment actions using SOC tools like Splunk, Microsoft Defender, and sandbox analysis platforms. Use when a reported phishing email requires full incident investigation to determine scope and impact.","domain":"cybersecurity","path":"skills/investigating-phishing-email-incident"},{"name":"investigating-ransomware-attack-artifacts","description":"Forensically preserve memory and disk, collect ransom notes and encrypted file samples, and identify the ransomware variant using tools such as ID Ransomware, Volatility, and Chainsaw/Hayabusa to determine the initial access vector and recovery options. Use immediately after discovering ransomware encryption, when scoping the incident forensically, or when documenting evidence for law enforcement and insurance claims.","domain":"cybersecurity","path":"skills/investigating-ransomware-attack-artifacts"},{"name":"managing-cloud-identity-with-okta","description":"Implement Okta as a centralized cloud identity provider: configure SSO with AWS, Azure, and GCP, deploy phishing-resistant MFA with Okta FastPass, automate user provisioning/deprovisioning, and enforce adaptive access policies on device posture and risk signals. Use when standing up Okta SSO, rolling out FastPass MFA, automating identity lifecycle, or building risk-based conditional access for cloud environments.","domain":"cybersecurity","path":"skills/managing-cloud-identity-with-okta"},{"name":"managing-intelligence-lifecycle","description":"Manages the end-to-end cyber threat intelligence lifecycle from planning and direction through collection, processing, analysis, dissemination, and feedback to ensure intelligence products meet stakeholder requirements and continuously improve. Use when establishing or maturing a CTI program, defining intelligence requirements with business stakeholders, or building feedback loops between intelligence consumers and producers. Activates for requests involving CTI program maturity, intelligence requirements, PIRs, or intelligence lifecycle management.","domain":"cybersecurity","path":"skills/managing-intelligence-lifecycle"},{"name":"managing-third-party-vendor-risk","description":"Build and run a third-party/vendor risk management (TPRM) program aligned to NIST SP 800-161 C-SCRM: inventory and tier vendors, issue SIG/CAIQ questionnaires, review SOC 2/ISO 27001 evidence, set contractual right-to-audit clauses, monitor vendors continuously, and offboard securely. Use when assessing a new vendor, standing up a vendor-risk program, tiering a portfolio, reviewing a SOC 2/CAIQ, or writing security terms into a contract.","domain":"cybersecurity","path":"skills/managing-third-party-vendor-risk"},{"name":"mapping-attack-paths-with-bloodhound-ce","description":"Collect Active Directory data with SharpHound and Entra ID data with AzureHound, ingest into BloodHound Community Edition, and analyze on-prem, cloud, and hybrid attack paths using built-in queries and custom Cypher. Use during authorized red-team or penetration-test engagements to map privilege-escalation chains toward domain/tenant compromise.","domain":"cybersecurity","path":"skills/mapping-attack-paths-with-bloodhound-ce"},{"name":"mapping-mitre-attack-techniques","description":"Maps observed adversary behaviors, security alerts, and detection rules to MITRE ATT&CK techniques and sub-techniques to quantify detection coverage and guide control prioritization. Use when building an ATT&CK-based coverage heatmap, tagging SIEM alerts with technique IDs, aligning security controls to adversary playbooks, or reporting threat exposure to executives. Activates for requests involving ATT&CK Navigator, Sigma rules, MITRE D3FEND, or coverage gap analysis.","domain":"cybersecurity","path":"skills/mapping-mitre-attack-techniques"},{"name":"migrating-to-post-quantum-cryptography","description":"Build a cryptographic inventory/CBOM with OpenSSL 3.5+, deploy hybrid post-quantum key exchange (X25519MLKEM768) on TLS/VPN/SSH endpoints, generate ML-KEM/ML-DSA keys and PQC/hybrid certificates, and prioritize migration by harvest-now-decrypt-later (HNDL) exposure per NIST SP 1800-38. Use when inventorying enterprise cryptography for quantum-readiness, enabling hybrid PQC key exchange, or issuing and verifying PQC/hybrid certificates.","domain":"cybersecurity","path":"skills/migrating-to-post-quantum-cryptography"},{"name":"modeling-threats-with-opencti","description":"Deploy OpenCTI (Filigran) via Docker Compose and use the pycti Python client to model threat actors, intrusion sets, campaigns, and indicators as a STIX 2.1 knowledge graph with relationships (uses, attributed-to, targets). Use when building a centralized threat-intel knowledge base, correlating IOCs from multiple feeds into one adversary graph, or producing STIX bundles for detection engineering.","domain":"cybersecurity","path":"skills/modeling-threats-with-opencti"},{"name":"monitoring-darkweb-sources","description":"Monitors dark web forums, marketplaces, paste sites, and ransomware leak sites for mentions of organizational assets, leaked credentials, threatened attacks, and threat actor communications to provide early warning intelligence. Use when establishing dark web monitoring coverage, investigating specific data breach claims, or enriching incident investigations with dark web context. Activates for requests involving dark web OSINT, leak site monitoring, credential exposure, Recorded Future dark web, or Tor hidden service intelligence.","domain":"cybersecurity","path":"skills/monitoring-darkweb-sources"},{"name":"monitoring-scada-modbus-traffic-anomalies","description":"Monitors Modbus TCP traffic on SCADA and ICS networks to detect anomalous function code usage, unauthorized register writes, and suspicious communication patterns. The analyst uses deep packet inspection with pymodbus, Scapy, and Zeek to baseline normal PLC/RTU communication behavior, then applies statistical and rule-based anomaly detection to identify reconnaissance, parameter manipulation, and denial-of-service attacks targeting Modbus devices on port 502. Activates for requests involving Modbus traffic analysis, SCADA network monitoring, ICS anomaly detection, PLC security monitoring, or OT network threat detection.","domain":"cybersecurity","path":"skills/monitoring-scada-modbus-traffic-anomalies"},{"name":"moving-laterally-with-netexec","description":"Use NetExec (nxc) to validate credentials, enumerate SMB shares/users/policy, password-spray safely across lockout thresholds, execute commands, and dump SAM/LSA/NTDS credentials across SMB, WinRM, LDAP, MSSQL, SSH, and other protocol modules. Use during authorized internal penetration tests to find lateral-movement paths after obtaining credentials or hashes, or to conduct controlled password spraying and post-exploitation on in-scope hosts.","domain":"cybersecurity","path":"skills/moving-laterally-with-netexec"},{"name":"operating-havoc-c2","description":"Deploy a Havoc C2 team server with Yaotl malleable profiles, generate evasive Demon agents using indirect syscalls and sleep obfuscation, and run post-exploitation and pivoting operations. Use during authorized, rules-of-engagement-bound red-team engagements for adversary emulation requiring a full C2 lifecycle (server setup, evasive implant generation, tasking, and lateral pivoting).","domain":"cybersecurity","path":"skills/operating-havoc-c2"},{"name":"operating-sliver-c2","description":"Stand up a Sliver C2 server and mTLS listeners, generate cross-platform implants and beacons, and run post-exploitation, pivoting, and BOF/.NET tooling via the Armory for adversary emulation. Use during authorized, rules-of-engagement-bound red-team engagements that need a full open-source C2 lifecycle spanning server setup, implant generation, and post-exploitation tradecraft.","domain":"cybersecurity","path":"skills/operating-sliver-c2"},{"name":"operationalizing-misp-threat-feeds","description":"Stand up MISP, enable and cache curated threat feeds (CIRCL, abuse.ch, Feodo Tracker), apply warninglists to suppress false positives, query indicators with PyMISP, and export attributes as auto-generated Suricata/Sigma/Wazuh detection rules. Use when maturing a MISP instance to actively drive detection, curating threat feeds with quality controls, or automating IOC-to-detection pipelines for the SIEM/IDS.","domain":"cybersecurity","path":"skills/operationalizing-misp-threat-feeds"},{"name":"orchestrating-llm-attacks-with-pyrit","description":"Build automated multi-turn adversarial attacks against conversational LLM targets using Microsoft PyRIT's RedTeamingOrchestrator, CrescendoOrchestrator (gradual escalation), and TreeOfAttacksWithPruningOrchestrator (adaptive branching), with scorer feedback loops and persisted conversation memory. Use when single-shot LLM scanning is insufficient and you need multi-turn, scorer-driven AI red-team campaigns against a chatbot or agent.","domain":"cybersecurity","path":"skills/orchestrating-llm-attacks-with-pyrit"},{"name":"parsing-artifacts-with-eric-zimmerman-tools","description":"Parse Windows forensic artifacts\u2014$MFT/$J (MFTECmd), Prefetch (PECmd), registry hives (RECmd), shellbags, and Amcache\u2014into normalized CSV/JSON with Eric Zimmerman's EZ Tools, then load results into Timeline Explorer for analysis. Use during DFIR/incident-response investigations, after triage collection (e.g. with KAPE), to establish program execution, file/folder access, and persistence evidence from acquired forensic images.","domain":"cybersecurity","path":"skills/parsing-artifacts-with-eric-zimmerman-tools"},{"name":"performing-access-recertification-with-saviynt","description":"Configure and execute access recertification campaigns in Saviynt Enterprise Identity Cloud to validate user entitlements, revoke excessive access, and maintain compliance with SOX, SOC 2, and HIPAA. Use when launching or managing certification campaigns for users/entitlements, remediating access review findings, or documenting identity governance evidence for an audit.","domain":"cybersecurity","path":"skills/performing-access-recertification-with-saviynt"},{"name":"performing-access-review-and-certification","description":"Designs and runs access review and certification campaigns-scoping, reviewer selection, risk-based prioritization, micro-certification, and remediation tracking-to verify user access matches job roles for SOX, HIPAA, and PCI DSS compliance. Use when planning or executing periodic access recertification or preparing evidence for an IAM compliance audit.","domain":"cybersecurity","path":"skills/performing-access-review-and-certification"},{"name":"performing-active-directory-bloodhound-analysis","description":"Use BloodHound and SharpHound (or AzureHound) to enumerate Active Directory relationships and graph attack paths from a compromised user to Domain Admin. Use when performing AD red-team reconnaissance, mapping privilege-escalation chains from group memberships, ACLs, and trusts, or auditing AD for exploitable misconfigurations.","domain":"cybersecurity","path":"skills/performing-active-directory-bloodhound-analysis"},{"name":"performing-active-directory-compromise-investigation","description":"Investigate Active Directory compromise by analyzing authentication logs, replication metadata, Group Policy changes, and Kerberos ticket anomalies to identify attacker persistence and lateral movement paths.","domain":"cybersecurity","path":"skills/performing-active-directory-compromise-investigation"},{"name":"performing-active-directory-forest-trust-attack","description":"Enumerate and audit Active Directory forest trust relationships using Impacket for SID filtering analysis, trust key extraction, cross-forest SID history abuse detection, and inter-realm Kerberos ticket assessment. Use when red-teaming multi-forest AD environments or auditing forest trusts for cross-forest privilege escalation and trust ticket forgery exposure.","domain":"cybersecurity","path":"skills/performing-active-directory-forest-trust-attack"},{"name":"performing-active-directory-penetration-test","description":"Conduct a focused Active Directory penetration test using BloodHound, Impacket, Certipy, Rubeus, and NetExec to enumerate domain objects, discover attack paths, exploit Kerberos weaknesses, escalate privileges via ADCS/DCSync, and demonstrate domain compromise. Use when running an authorized AD pentest from a standard domain user foothold toward Domain Admin or Enterprise Admin.","domain":"cybersecurity","path":"skills/performing-active-directory-penetration-test"},{"name":"performing-active-directory-vulnerability-assessment","description":"Assess Active Directory security posture using PingCastle, BloodHound, and Purple Knight to identify misconfigurations, privilege escalation paths, and attack vectors.","domain":"cybersecurity","path":"skills/performing-active-directory-vulnerability-assessment"},{"name":"performing-adversary-in-the-middle-phishing-detection","description":"Detect and respond to Adversary-in-the-Middle (AiTM) phishing attacks that use reverse proxy kits like EvilProxy, Evilginx, and Tycoon 2FA to bypass MFA and steal session tokens, correlating Azure AD/Entra sign-in logs, SIEM alerts, and EDR telemetry. Use when investigating suspected MFA-bypass phishing or session token theft, or building detection and response playbooks against reverse-proxy phishing kits.","domain":"cybersecurity","path":"skills/performing-adversary-in-the-middle-phishing-detection"},{"name":"performing-agentless-vulnerability-scanning","description":"Configure and execute agentless vulnerability scanning using network protocols, cloud snapshot analysis, and API-based discovery to assess systems without installing endpoint agents.","domain":"cybersecurity","path":"skills/performing-agentless-vulnerability-scanning"},{"name":"performing-ai-driven-osint-correlation","description":"Use AI/LLM-based reasoning with Sherlock, theHarvester, and SpiderFoot to correlate OSINT findings\u2014usernames, emails, social profiles, domain records, breach databases, and dark-web mentions\u2014into unified, confidence-scored intelligence profiles with link analysis. Use when raw OSINT data from multiple sources needs merging into one target profile or resolving identity linkage across platforms.","domain":"cybersecurity","path":"skills/performing-ai-driven-osint-correlation"},{"name":"performing-alert-triage-with-elastic-siem","description":"Perform systematic alert triage in Elastic Security SIEM\u2014classifying, prioritizing, and investigating alerts using Kibana, ES|QL queries, and ECS-normalized data\u2014to drive SOC analyst workflows. Use when triaging incoming Elastic Security detections, prioritizing an analyst's alert queue, or investigating alerts during SOC operations.","domain":"cybersecurity","path":"skills/performing-alert-triage-with-elastic-siem"},{"name":"performing-android-app-static-analysis-with-mobsf","description":"Performs automated static analysis of Android applications using Mobile Security Framework (MobSF) to identify hardcoded secrets, insecure permissions, vulnerable components, weak cryptography, and code-level security flaws without executing the application. Use when assessing Android APK/AAB files for security vulnerabilities before deployment, during penetration testing, or as part of CI/CD security gates. Activates for requests involving Android static analysis, MobSF scanning, APK security assessment, or mobile application code review.","domain":"cybersecurity","path":"skills/performing-android-app-static-analysis-with-mobsf"},{"name":"performing-api-fuzzing-with-restler","description":"Uses Microsoft RESTler to perform stateful REST API fuzzing: compiles an OpenAPI/Swagger spec into a RESTler grammar, configures authentication, and runs test/fuzz-lean/fuzz modes that generate request sequences exercising producer-consumer dependencies, then flags 500 errors, auth bypasses, resource leaks, and injection bugs. Use when fuzzing REST APIs for stateful bugs or running RESTler-based automated API security testing.","domain":"cybersecurity","path":"skills/performing-api-fuzzing-with-restler"},{"name":"performing-api-inventory-and-discovery","description":"Performs API inventory and discovery to identify all API endpoints in an organization's environment including documented, undocumented, shadow, zombie, and deprecated APIs. The tester uses passive traffic analysis, active scanning, DNS enumeration, JavaScript analysis, and cloud resource inventory to build a comprehensive API catalog. Maps to OWASP API9:2023 Improper Inventory Management. Activates for requests involving API discovery, shadow API detection, API inventory audit, or attack surface mapping.","domain":"cybersecurity","path":"skills/performing-api-inventory-and-discovery"},{"name":"performing-api-rate-limiting-bypass","description":"Tests API rate limiting for bypass vulnerabilities using Python (requests/aiohttp) and Burp Suite Turbo Intruder to manipulate headers (e.g. X-Forwarded-For spoofing), IPs, HTTP methods, API versions, and encodings, mapping findings to OWASP API4:2023 Unrestricted Resource Consumption. Use when assessing, under written authorization, whether rate limits can be bypassed to enable brute force or resource-exhaustion attacks.","domain":"cybersecurity","path":"skills/performing-api-rate-limiting-bypass"},{"name":"performing-api-security-testing-with-postman","description":"Uses Postman to build structured API security test collections covering the OWASP API Security Top 10\u2014authentication bypass, authorization flaws, injection, and data exposure\u2014with multi-role environments, automated test scripts, and OWASP ZAP/Newman integration for CI/CD. Use when building repeatable Postman-based API security regression tests or automating OWASP API Top 10 coverage in a pipeline.","domain":"cybersecurity","path":"skills/performing-api-security-testing-with-postman"},{"name":"performing-arp-spoofing-attack-simulation","description":"Simulates ARP spoofing/cache-poisoning attacks in authorized lab or pentest environments using arpspoof, Ettercap, and Scapy to demonstrate man-in-the-middle risk and validate Dynamic ARP Inspection, port security, and network monitoring detections. Use when testing whether switches, IDS/IPS, or a SIEM detect ARP spoofing under written authorization; do not use on production networks without explicit approval.","domain":"cybersecurity","path":"skills/performing-arp-spoofing-attack-simulation"},{"name":"performing-asset-criticality-scoring-for-vulns","description":"Build a multi-factor asset criticality scoring model\u2014incorporating data sensitivity, business function dependency, regulatory scope, network exposure, and recoverability\u2014to produce a 1-5 criticality tier that weights vulnerability prioritization and remediation SLAs. Use when prioritizing vulnerability remediation by business impact or aligning CMDB asset data with risk-based patching timelines.","domain":"cybersecurity","path":"skills/performing-asset-criticality-scoring-for-vulns"},{"name":"performing-authenticated-scan-with-openvas","description":"Configure and execute authenticated (credentialed) vulnerability scans using OpenVAS/Greenbone Vulnerability Management (GVM) with SSH, SMB, or ESXi credentials to detect local vulnerabilities, missing patches, and misconfigurations on target hosts. Use when a host-level scan needs to log into systems for deep inspection, since authenticated scans typically surface 10-50x more findings than unauthenticated scans.","domain":"cybersecurity","path":"skills/performing-authenticated-scan-with-openvas"},{"name":"performing-authenticated-vulnerability-scan","description":"Plan and run authenticated (credentialed) vulnerability scans with scanners such as Nessus, Qualys, OpenVAS, or Rapid7 InsightVM, using SSH, SMB, WinRM, or SNMPv3 credentials to inspect installed software, patches, and configurations on Linux, Windows, and network devices. Use when a scan must catch vulnerabilities unauthenticated scanning misses, or when choosing and managing credential types for a credentialed scan.","domain":"cybersecurity","path":"skills/performing-authenticated-vulnerability-scan"},{"name":"performing-automated-malware-analysis-with-cape","description":"Deploy and operate the CAPEv2 malware sandbox (a Cuckoo derivative) to run samples in a monitored Windows guest VM, capturing behavioral signatures, dropped files, PCAP network traffic, and family-specific configuration extraction (e.g. Emotet, TrickBot, Cobalt Strike) via cape-parsers. Use when a suspicious file or payload needs automated dynamic analysis, anti-evasion debugger tricks, or config/payload extraction.","domain":"cybersecurity","path":"skills/performing-automated-malware-analysis-with-cape"},{"name":"performing-aws-account-enumeration-with-scout-suite","description":"Run the agentless, open-source ScoutSuite tool (via pip install and the `scout` CLI) against an AWS account to enumerate resources across services, identify misconfigurations, and generate an interactive HTML security report. Use when assessing an AWS account's overall security posture with read-only IAM credentials, such as during a cloud security audit or compliance review.","domain":"cybersecurity","path":"skills/performing-aws-account-enumeration-with-scout-suite"},{"name":"performing-aws-privilege-escalation-assessment","description":"Performing authorized privilege escalation assessments in AWS environments to identify IAM misconfigurations that allow users or roles to elevate their permissions using Pacu, CloudFox, Principal Mapper, and manual IAM policy analysis techniques.","domain":"cybersecurity","path":"skills/performing-aws-privilege-escalation-assessment"},{"name":"performing-bandwidth-throttling-attack-simulation","description":"Simulate bandwidth throttling and network degradation attacks using tc, iperf3, and Scapy in authorized lab environments to test QoS controls, application resilience, and monitoring detection of traffic manipulation. Use when validating how VoIP, video, or other real-time applications and network monitoring tools respond to degraded bandwidth or slowloris-style throttling attacks.","domain":"cybersecurity","path":"skills/performing-bandwidth-throttling-attack-simulation"},{"name":"performing-binary-exploitation-analysis","description":"Analyze ELF binaries for memory-corruption vulnerabilities and build proof-of-concept exploits using pwntools, checksec, and ROPgadget for buffer overflows and ROP chains. Use when a penetration test or CTF challenge requires evaluating compiler mitigations (NX, ASLR, stack canaries, PIE, RELRO) or developing a working exploit to demonstrate impact.","domain":"cybersecurity","path":"skills/performing-binary-exploitation-analysis"},{"name":"performing-blind-ssrf-exploitation","description":"Detect and exploit blind Server-Side Request Forgery (SSRF) using out-of-band techniques such as Burp Collaborator DNS interactions and timing analysis, to reach internal services and cloud metadata endpoints even when server responses are not reflected. Use when testing URL/webhook parameters, PDF generators, image processors, or import/preview features where SSRF output cannot be observed directly.","domain":"cybersecurity","path":"skills/performing-blind-ssrf-exploitation"},{"name":"performing-bluetooth-security-assessment","description":"Assess Bluetooth Low Energy (BLE) device security using Python's bleak asyncio library to discover nearby devices, enumerate GATT services and characteristics, and flag unencrypted or unauthenticated read/write access to sensitive data. Use when auditing IoT, healthcare, fitness, or smart-home BLE devices for weak pairing configurations or known vulnerable device fingerprints.","domain":"cybersecurity","path":"skills/performing-bluetooth-security-assessment"},{"name":"performing-brand-monitoring-for-impersonation","description":"Monitor for brand impersonation attacks across domains, social media, mobile apps, and dark web channels to detect phishing campaigns, fake sites, and unauthorized brand usage targeting your organization.","domain":"cybersecurity","path":"skills/performing-brand-monitoring-for-impersonation"},{"name":"performing-clickjacking-attack-test","description":"Testing web applications for clickjacking vulnerabilities by assessing frame embedding controls and crafting proof-of-concept overlay attacks during authorized security assessments.","domain":"cybersecurity","path":"skills/performing-clickjacking-attack-test"},{"name":"performing-cloud-asset-inventory-with-cartography","description":"Run Cartography to sync AWS, GCP, or Azure resources into a Neo4j graph database, mapping relationships such as IAM permission chains, network paths, and cross-account trust. Use when building a cloud asset inventory, querying the graph to identify attack paths, or generating security reports across multi-cloud infrastructure.","domain":"cybersecurity","path":"skills/performing-cloud-asset-inventory-with-cartography"},{"name":"performing-cloud-forensics-investigation","description":"Collect and analyze cloud forensic evidence using AWS CLI, Azure CLI, or gcloud to snapshot volumes, capture instance metadata and security group configurations, and preserve cloud-native logs (CloudTrail, Activity Log, Audit Log). Use when investigating a suspected breach in AWS, Azure, or GCP, tracing unauthorized access through API logs, or analyzing a compromised VM, container, or serverless function.","domain":"cybersecurity","path":"skills/performing-cloud-forensics-investigation"},{"name":"performing-cloud-forensics-with-aws-cloudtrail","description":"Investigate AWS account compromise by querying CloudTrail with boto3's LookupEvents or AWS Athena SQL over S3-delivered logs, filtering on suspicious user agents, source IPs, and event names to reconstruct an attacker timeline. Use when tracing unauthorized API calls, S3 data exfiltration, IAM privilege escalation, or credential exposure, and building a forensic report of findings and remediation steps.","domain":"cybersecurity","path":"skills/performing-cloud-forensics-with-aws-cloudtrail"},{"name":"performing-cloud-incident-containment-procedures","description":"Execute cloud-native incident containment across AWS, Azure, and GCP using platform CLIs to revoke or disable compromised IAM credentials, isolate resources with security groups and network ACLs, and preserve forensic evidence via snapshots. Use when responding to a cloud security incident that requires stopping lateral movement while keeping evidence intact for later investigation.","domain":"cybersecurity","path":"skills/performing-cloud-incident-containment-procedures"},{"name":"performing-cloud-log-forensics-with-athena","description":"Uses AWS Athena to query CloudTrail, VPC Flow Logs, S3 access logs, and ALB logs for forensic investigation. Covers CREATE TABLE DDL with partition projection, forensic SQL queries for detecting unauthorized access, data exfiltration, lateral movement, and privilege escalation. Use when investigating AWS security incidents or building cloud-native forensic workflows at scale.","domain":"cybersecurity","path":"skills/performing-cloud-log-forensics-with-athena"},{"name":"performing-cloud-native-forensics-with-falco","description":"Uses Falco YAML rules for runtime threat detection in containers and Kubernetes, monitoring syscalls for shell spawns, file tampering, network anomalies, and privilege escalation. Manages Falco rules via the Falco gRPC API and parses Falco alert output. Use when building container runtime security or investigating k8s cluster compromises.","domain":"cybersecurity","path":"skills/performing-cloud-native-forensics-with-falco"},{"name":"performing-cloud-native-threat-hunting-with-aws-detective","description":"Investigate AWS security incidents using Amazon Detective's behavior graphs, built from CloudTrail, VPC Flow Logs, GuardDuty, and EKS audit logs, to trace entity timelines and profile IAM users, roles, EC2 instances, and IP addresses for lateral movement. Use when triaging GuardDuty findings, investigating a suspected AWS compromise, or reconstructing an attacker's activity timeline across AWS accounts.","domain":"cybersecurity","path":"skills/performing-cloud-native-threat-hunting-with-aws-detective"},{"name":"performing-cloud-penetration-testing-with-pacu","description":"Run authorized AWS penetration tests with Pacu, the open-source AWS exploitation framework, to enumerate IAM configuration, scan for privilege escalation paths, and test data access and lateral movement using compromised credentials. Use when conducting authorized red-team assessments of AWS environments, validating IAM policies and SCPs, or determining the blast radius of compromised AWS credentials.","domain":"cybersecurity","path":"skills/performing-cloud-penetration-testing-with-pacu"},{"name":"performing-cloud-storage-forensic-acquisition","description":"Perform forensic acquisition of cloud storage services including Google Drive, OneDrive, Dropbox, and Box by pulling API-based remote data such as revision history and audit logs, and collecting local sync-client artifacts including KAPE targets and OneDrive databases from endpoints. Use during incident response or e-discovery when evidence resides in cloud-synced storage and both cloud-side and endpoint-side artifacts must be preserved.","domain":"cybersecurity","path":"skills/performing-cloud-storage-forensic-acquisition"},{"name":"performing-container-escape-detection","description":"Audits container and pod configuration for escape-enabling misconfiguration using the Kubernetes Python client - privileged flags, dangerous capability grants, host path mounts, shared namespaces, and CVE-2022-0492 style cgroup abuse. Use when sweeping a cluster for workloads that could break out, producing a posture report, or checking configuration before enforcement is switched on. Keywords: privileged, hostPath, hostPID, capabilities, CVE-2022-0492, cgroup, kubernetes python client, posture audit. Do not use for runtime syscall-based detection - use detecting-container-escape-attempts. '","domain":"cybersecurity","path":"skills/performing-container-escape-detection"},{"name":"performing-container-image-hardening","description":"Harden container images by minimizing attack surface, stripping unnecessary packages, implementing multi-stage builds, configuring non-root users, and applying CIS Docker Benchmark recommendations to produce secure, production-ready images. Use when building production container images, when compliance requires CIS Docker Benchmark adherence, or when shrinking image size to reduce vulnerability exposure from unused packages.","domain":"cybersecurity","path":"skills/performing-container-image-hardening"},{"name":"performing-container-security-scanning-with-trivy","description":"Runs Trivy across every target type it supports - container images, filesystems, Git repositories, and Kubernetes clusters - for OS and dependency vulnerabilities, IaC misconfiguration, exposed secrets, and licences, generating CycloneDX or SPDX SBOMs. Use when integrating Trivy into CI/CD, deploying the Trivy Kubernetes operator, scanning non-image targets, or triaging results at scale. Keywords: Trivy, trivy k8s, operator, SBOM, CycloneDX, SPDX, misconfig, secret scanning. Do not use for a single Docker image scan - use scanning-docker-images-with-trivy.","domain":"cybersecurity","path":"skills/performing-container-security-scanning-with-trivy"},{"name":"performing-content-security-policy-bypass","description":"Analyze Content-Security-Policy headers and bypass them to achieve cross-site scripting by exploiting unsafe-inline/unsafe-eval, whitelisted JSONP endpoints, base-uri and form-action gaps, and nonce/hash weaknesses, then exfiltrate data even without script-src control. Use during web application security assessments or bug bounty hunting when XSS is found but blocked by CSP, or when auditing CSP header configuration for weaknesses.","domain":"cybersecurity","path":"skills/performing-content-security-policy-bypass"},{"name":"performing-credential-access-with-lazagne","description":"Extract stored credentials from compromised endpoints using the LaZagne post-exploitation tool to recover passwords from browsers, databases, system vaults, and applications during authorized red team operations.","domain":"cybersecurity","path":"skills/performing-credential-access-with-lazagne"},{"name":"performing-cryptographic-audit-of-application","description":"A cryptographic audit systematically reviews an application's use of cryptographic primitives, protocols, and key management to identify vulnerabilities such as weak algorithms, insecure modes, hardco","domain":"cybersecurity","path":"skills/performing-cryptographic-audit-of-application"},{"name":"performing-csrf-attack-simulation","description":"Testing web applications for Cross-Site Request Forgery vulnerabilities by crafting forged requests that exploit authenticated user sessions during authorized security assessments.","domain":"cybersecurity","path":"skills/performing-csrf-attack-simulation"},{"name":"performing-cve-prioritization-with-kev-catalog","description":"Fetch and parse the CISA Known Exploited Vulnerabilities (KEV) catalog, enrich it with EPSS scores and CVSS metrics, and build a multi-factor prioritization engine and report that ranks CVE remediation by real-world exploitation evidence and BOD 22-01 deadlines. Use when triaging a vulnerability backlog, deciding patch order across many CVEs, or building an automated KEV+EPSS prioritization workflow.","domain":"cybersecurity","path":"skills/performing-cve-prioritization-with-kev-catalog"},{"name":"performing-dark-web-monitoring-for-threats","description":"Dark web monitoring involves systematically scanning Tor hidden services, underground forums, paste sites, and dark web marketplaces to identify threats targeting an organization, including leaked cre","domain":"cybersecurity","path":"skills/performing-dark-web-monitoring-for-threats"},{"name":"performing-deception-technology-deployment","description":"Deploys deception technology including honeypots, honeytokens, and decoy systems to detect attackers who have bypassed perimeter defenses, providing high-fidelity alerts with near-zero false positive rates. Use when SOC teams need early warning of lateral movement, credential abuse, or internal reconnaissance by deploying convincing traps across the network.","domain":"cybersecurity","path":"skills/performing-deception-technology-deployment"},{"name":"performing-directory-traversal-testing","description":"Test web applications for path traversal and Local/Remote File Inclusion vulnerabilities by manipulating file path parameters, applying encoding and filter-bypass techniques, automating discovery with ffuf and dotdotpwn, and reading high-value files or achieving code execution. Use during authorized penetration tests of file download, view, or include functionality, or when assessing APIs that accept file names or file paths as parameters.","domain":"cybersecurity","path":"skills/performing-directory-traversal-testing"},{"name":"performing-disk-forensics-investigation","description":"Conduct disk forensics investigations using forensic imaging, file system analysis, and timeline reconstruction, with tools such as FTK Imager, Autopsy, and The Sleuth Kit, for evidence acquisition, deleted file recovery, and artifact examination. Use when a security incident requires forensic analysis of persistent storage or when evidence must be preserved for legal or HR proceedings.","domain":"cybersecurity","path":"skills/performing-disk-forensics-investigation"},{"name":"performing-dmarc-policy-enforcement-rollout","description":"Execute a phased DMARC rollout by inventorying sending sources, configuring SPF/DKIM alignment, and progressing DNS policy from p=none monitoring through p=quarantine to p=reject enforcement, ensuring all legitimate email sources authenticate before unauthorized senders are blocked. Use when deploying or advancing an organization's DMARC anti-spoofing posture, or when meeting bulk-sender authentication requirements from Google and Yahoo.","domain":"cybersecurity","path":"skills/performing-dmarc-policy-enforcement-rollout"},{"name":"performing-dns-enumeration-and-zone-transfer","description":"Enumerates DNS records, attempts zone transfers, brute-forces subdomains, and maps DNS infrastructure during authorized reconnaissance to identify attack surface, misconfigurations, and information disclosure in target domains.","domain":"cybersecurity","path":"skills/performing-dns-enumeration-and-zone-transfer"},{"name":"performing-dns-tunneling-detection","description":"Detects DNS tunneling by computing Shannon entropy of DNS query names, analyzing query length distributions, inspecting TXT record payloads, and identifying high subdomain cardinality. Uses scapy for packet capture analysis and statistical methods to distinguish legitimate DNS from covert channels. Use when hunting for data exfiltration.","domain":"cybersecurity","path":"skills/performing-dns-tunneling-detection"},{"name":"performing-docker-bench-security-assessment","description":"Runs Docker Bench for Security, the open-source CIS Docker Benchmark audit script, across host configuration, daemon settings, images, and runtime configuration, then interprets pass/fail/warn output and remediates the common failures. Use when auditing Docker hosts for CIS compliance, scheduling recurring container assessments, or validating runtime hardening controls after a change. Keywords: docker-bench-security, CIS Docker Benchmark, audit script, pass fail warn, host configuration, remediation. Do not use for applying the daemon hardening itself - use hardening-docker-daemon-configuration.","domain":"cybersecurity","path":"skills/performing-docker-bench-security-assessment"},{"name":"performing-dynamic-analysis-of-android-app","description":"Performs runtime dynamic analysis of Android applications using Frida, Objection, and Android Debug Bridge to observe application behavior during execution, intercept function calls, modify runtime values, and identify vulnerabilities that static analysis misses. Use when testing Android apps for runtime security flaws, hooking sensitive methods, bypassing client-side protections, or analyzing obfuscated applications. Activates for requests involving Android dynamic analysis, runtime hooking, Frida Android instrumentation, or live app behavior analysis.","domain":"cybersecurity","path":"skills/performing-dynamic-analysis-of-android-app"},{"name":"performing-dynamic-analysis-with-any-run","description":"Perform interactive dynamic malware analysis using the ANY.RUN cloud sandbox to detonate samples, observe real-time execution behavior, interact with malware prompts such as dialogs and CAPTCHAs, and capture process trees, network traffic, and system changes. Use when a suspicious file or URL needs live, interactive behavioral detonation in a cloud sandbox rather than static analysis alone.","domain":"cybersecurity","path":"skills/performing-dynamic-analysis-with-any-run"},{"name":"performing-endpoint-forensics-investigation","description":"Performs digital forensics investigation on compromised endpoints including memory acquisition, disk imaging, artifact analysis, and timeline reconstruction. Use when investigating security incidents, collecting evidence for legal proceedings, or analyzing endpoint compromise scope. Activates for requests involving endpoint forensics, memory analysis, disk forensics, or incident investigation.","domain":"cybersecurity","path":"skills/performing-endpoint-forensics-investigation"},{"name":"performing-endpoint-vulnerability-remediation","description":"Performs vulnerability remediation on endpoints by prioritizing CVEs based on risk scoring, deploying patches, applying configuration changes, and validating fixes. Use when remediating findings from vulnerability scans, responding to critical CVE advisories, or maintaining endpoint compliance with patch management SLAs. Activates for requests involving vulnerability remediation, CVE patching, endpoint vulnerability management, or security fix deployment.","domain":"cybersecurity","path":"skills/performing-endpoint-vulnerability-remediation"},{"name":"performing-entitlement-review-with-sailpoint-iiq","description":"Runs entitlement review and access certification campaigns in SailPoint IdentityIQ, covering manager certifications, targeted entitlement reviews, role-based access validation, segregation-of-duties violation remediation, and automated revocation workflows. Use when performing periodic user access recertification, auditing SailPoint IIQ access governance, or investigating SOD violations.","domain":"cybersecurity","path":"skills/performing-entitlement-review-with-sailpoint-iiq"},{"name":"performing-external-network-penetration-test","description":"Conduct a comprehensive external network penetration test to identify vulnerabilities in internet-facing infrastructure using PTES methodology, reconnaissance, scanning, exploitation, and reporting.","domain":"cybersecurity","path":"skills/performing-external-network-penetration-test"},{"name":"performing-false-positive-reduction-in-siem","description":"Reduces SIEM false positives through systematic rule tuning, threshold adjustment, correlation logic refinement, allowlisting, and threat intelligence enrichment. Use when SOC analysts are overwhelmed by alert noise, when tuning noisy detection rules, or during a quarterly SIEM rule review to cut alert fatigue.","domain":"cybersecurity","path":"skills/performing-false-positive-reduction-in-siem"},{"name":"performing-file-carving-with-foremost","description":"Recovers files from disk images and unallocated space using Foremost's header-footer signature carving, extracting evidence independent of the file system's state. Use during digital forensics investigations to carve deleted or fragmented files, such as documents, images, and archives, from raw disk images or unallocated space.","domain":"cybersecurity","path":"skills/performing-file-carving-with-foremost"},{"name":"performing-firmware-extraction-with-binwalk","description":"Performs firmware image extraction and analysis using binwalk to identify embedded filesystems, compressed archives, bootloaders, kernel images, and cryptographic material. Covers entropy analysis for detecting encrypted or compressed regions, recursive extraction of nested archives, SquashFS/CramFS/JFFS2 filesystem mounting, and string analysis for credential and configuration discovery. Activates for requests involving firmware reverse engineering, IoT device analysis, embedded system security assessment, or router/camera firmware extraction.","domain":"cybersecurity","path":"skills/performing-firmware-extraction-with-binwalk"},{"name":"performing-firmware-malware-analysis","description":"Analyzes firmware images for embedded malware, backdoors, and unauthorized modifications in routers, IoT devices, UEFI/BIOS, and embedded systems, covering firmware extraction, filesystem analysis, binary reverse engineering, and bootkit detection. Use for firmware security analysis, IoT malware investigation, UEFI rootkit detection, or embedded device compromise assessment.","domain":"cybersecurity","path":"skills/performing-firmware-malware-analysis"},{"name":"performing-fuzzing-with-aflplusplus","description":"Performs coverage-guided fuzzing of compiled binaries with AFL++, instrumenting targets via afl-cc/afl-clang-fast, minimizing corpora with afl-cmin and afl-tmin, running parallel campaigns with afl-fuzz, and triaging crashes with CASR or GDB scripts. Use for binary fuzzing, crash and memory-corruption discovery, coverage-guided testing, or running AFL++ fuzzing campaigns.","domain":"cybersecurity","path":"skills/performing-fuzzing-with-aflplusplus"},{"name":"performing-gcp-penetration-testing-with-gcpbucketbrute","description":"Performs authorized GCP security testing using GCPBucketBrute to enumerate publicly accessible storage buckets, combined with gcloud CLI IAM enumeration to find privilege escalation paths and audit service account permissions. Use when penetration testing a GCP project for exposed buckets, overly permissive IAM bindings, or service account key exposure.","domain":"cybersecurity","path":"skills/performing-gcp-penetration-testing-with-gcpbucketbrute"},{"name":"performing-gcp-security-assessment-with-forseti","description":"Performing comprehensive security assessments of Google Cloud Platform environments using Forseti Security, Security Command Center, and gcloud CLI to audit IAM policies, firewall rules, storage permissions, and compliance against CIS GCP Foundations Benchmark.","domain":"cybersecurity","path":"skills/performing-gcp-security-assessment-with-forseti"},{"name":"performing-graphql-depth-limit-attack","description":"Execute and test GraphQL depth limit attacks using deeply nested recursive queries to identify denial-of-service vulnerabilities in GraphQL APIs.","domain":"cybersecurity","path":"skills/performing-graphql-depth-limit-attack"},{"name":"performing-graphql-introspection-attack","description":"Performs GraphQL introspection attacks that extract the full API schema (types, queries, mutations, subscriptions, field definitions), map the attack surface, test query depth/complexity limits, and exploit GraphQL-specific weaknesses such as batching attacks, alias-based brute force, and nested query DoS. Use for GraphQL security testing, schema enumeration, or GraphQL API penetration testing.","domain":"cybersecurity","path":"skills/performing-graphql-introspection-attack"},{"name":"performing-graphql-security-assessment","description":"Assessing GraphQL API endpoints for introspection leaks, injection attacks, authorization flaws, and denial-of-service vulnerabilities during authorized security tests.","domain":"cybersecurity","path":"skills/performing-graphql-security-assessment"},{"name":"performing-hardware-security-module-integration","description":"Integrates Hardware Security Modules (HSMs) via the PKCS#11 interface using python-pkcs11, performing key generation, signing, encryption, verification, and token/slot queries against SoftHSM2, AWS CloudHSM, or YubiHSM2. Use when implementing HSM-backed key management or validating HSM configuration for FIPS 140-2/3 compliance.","domain":"cybersecurity","path":"skills/performing-hardware-security-module-integration"},{"name":"performing-hash-cracking-with-hashcat","description":"Cracks password hashes with Hashcat, covering hash-type identification, dictionary/brute-force/rule-based attack modes, custom rule creation, GPU benchmarking, and password-strength/compliance reporting. Use for authorized penetration testing or security audits that need to evaluate password strength or crack captured hashes.","domain":"cybersecurity","path":"skills/performing-hash-cracking-with-hashcat"},{"name":"performing-http-parameter-pollution-attack","description":"Executes HTTP Parameter Pollution attacks that inject duplicate request parameters to bypass input validation, WAF rules, and other security controls when front-end and back-end systems parse duplicate parameters differently. Use during web application penetration testing to test for parameter parsing inconsistencies or WAF/validation bypass.","domain":"cybersecurity","path":"skills/performing-http-parameter-pollution-attack"},{"name":"performing-ics-asset-discovery-with-claroty","description":"Performs ICS/OT asset discovery with Claroty xDome, combining passive monitoring and Claroty Edge active queries to inventory PLCs, RTUs, HMIs, and network infrastructure across Purdue Model levels. Use when gaining visibility into an undocumented OT environment, preparing an IEC 62443 asset inventory, or onboarding Claroty xDome; not for IT-only discovery.","domain":"cybersecurity","path":"skills/performing-ics-asset-discovery-with-claroty"},{"name":"performing-indicator-lifecycle-management","description":"Tracks IOCs through discovery, enrichment/validation (VirusTotal, Shodan, passive DNS), deployment to SIEM/IDS watchlists, hit-rate and false-positive monitoring, confidence-score decay, and automated expiration using MISP/OpenCTI and STIX. Use when building or maintaining a threat intelligence indicator lifecycle process, aging out stale IOCs, or reducing analyst fatigue from low-quality indicators.","domain":"cybersecurity","path":"skills/performing-indicator-lifecycle-management"},{"name":"performing-initial-access-with-evilginx3","description":"Perform authorized initial access using EvilGinx3 adversary-in-the-middle phishing framework to capture session tokens and bypass multi-factor authentication during red team engagements.","domain":"cybersecurity","path":"skills/performing-initial-access-with-evilginx3"},{"name":"performing-insider-threat-investigation","description":"Investigates insider threat incidents involving employees, contractors, or trusted partners who misuse authorized access to steal data, sabotage systems, or violate security policies, combining digital forensics, user behavior analytics, and HR/legal coordination to build an evidence-based case. Use when DLP alerts flag large data transfers to personal cloud storage or USB devices, when UBA detects anomalous access patterns for a user account, or when investigating employee data theft, privilege misuse, or internal threat detection requests.","domain":"cybersecurity","path":"skills/performing-insider-threat-investigation"},{"name":"performing-ioc-enrichment-automation","description":"Automates Indicator of Compromise (IOC) enrichment by orchestrating lookups across VirusTotal, AbuseIPDB, Shodan, MISP, and other intelligence sources to provide contextual scoring and disposition recommendations. Use when SOC analysts need rapid multi-source enrichment of IPs, domains, URLs, and file hashes during alert triage or incident investigation.","domain":"cybersecurity","path":"skills/performing-ioc-enrichment-automation"},{"name":"performing-ios-app-security-assessment","description":"Performs comprehensive iOS application security assessments using Frida for dynamic instrumentation, Objection for runtime exploration, SSL pinning bypass for traffic interception, keychain extraction for credential analysis, and IPA static analysis for binary-level review. Use when conducting authorized iOS penetration tests, evaluating mobile app security posture against OWASP MASTG, or assessing iOS app data protection and transport security controls. Activates for requests involving iOS app pentesting, Frida-based iOS instrumentation, mobile app SSL pinning bypass, or IPA reverse engineering.","domain":"cybersecurity","path":"skills/performing-ios-app-security-assessment"},{"name":"performing-iot-security-assessment","description":"Performs comprehensive security assessments of IoT devices and their ecosystems by testing hardware interfaces, firmware, network communications, cloud APIs, and companion mobile applications. The tester uses firmware extraction and analysis, hardware debugging via UART and JTAG, network protocol analysis, and runtime exploitation to identify vulnerabilities across all layers of the IoT stack. Activates for requests involving IoT security testing, embedded device assessment, firmware security analysis, or smart device penetration testing.","domain":"cybersecurity","path":"skills/performing-iot-security-assessment"},{"name":"performing-ip-reputation-analysis-with-shodan","description":"Analyze IP address reputation using the Shodan API to identify open ports, running services, known vulnerabilities, and hosting context for threat intelligence enrichment and incident triage.","domain":"cybersecurity","path":"skills/performing-ip-reputation-analysis-with-shodan"},{"name":"performing-jwt-none-algorithm-attack","description":"Execute and test the JWT none algorithm attack, crafting tokens with the alg header set to none using PyJWT and an intercepting proxy (Burp Suite/mitmproxy) to bypass signature verification and forge arbitrary claims. Use during authorized penetration tests or security assessments of applications that use JWT for authentication or authorization, to validate that the server rejects unsigned tokens.","domain":"cybersecurity","path":"skills/performing-jwt-none-algorithm-attack"},{"name":"performing-kerberoasting-attack","description":"Perform Kerberoasting, a post-exploitation technique that enumerates Active Directory service accounts with Service Principal Names (SPNs), requests their Kerberos TGS tickets, and cracks the NTLM-encrypted tickets offline to recover service account credentials. Use during authorized red team engagements or penetration tests to assess AD privilege escalation and credential access risk from weak service account passwords.","domain":"cybersecurity","path":"skills/performing-kerberoasting-attack"},{"name":"performing-kubernetes-cis-benchmark-with-kube-bench","description":"Turns kube-bench output into a finished CIS Kubernetes Benchmark audit: interpreting PASS/FAIL/WARN per control, judging which failures are genuine on a managed cluster, writing remediation, and packaging evidence for SOC 2 or PCI DSS. Use when conducting a scheduled compliance audit, triaging kube-bench results, deciding which controls are not applicable on EKS, GKE, or AKS, or producing hardening evidence for an auditor. Keywords: CIS Kubernetes Benchmark, control plane, remediation, compliance evidence, SOC 2, PCI DSS, managed cluster exception. Do not use for installing and running the tool - use benchmarking-kubernetes-with-kube-bench.","domain":"cybersecurity","path":"skills/performing-kubernetes-cis-benchmark-with-kube-bench"},{"name":"performing-kubernetes-etcd-security-assessment","description":"Assesses the security posture of the etcd cluster backing Kubernetes: encryption at rest, TLS peer and client transport, access control, backup encryption, and network isolation. Use when auditing or hardening a control plane, reviewing whether Secrets are encrypted at rest, or protecting etcd backups, since etcd stores Secrets, RBAC policy, and ConfigMaps in plaintext by default. Keywords: etcd, EncryptionConfiguration, encryption at rest, peer TLS, snapshot, backup, control plane. Do not use for broad cluster-wide CIS checks - use performing-kubernetes-cis-benchmark-with-kube-bench.","domain":"cybersecurity","path":"skills/performing-kubernetes-etcd-security-assessment"},{"name":"performing-kubernetes-penetration-testing","description":"Evaluates Kubernetes cluster security by actively simulating attacker techniques against the API server, kubelet, etcd, pods, RBAC, network policy, and secrets, using kube-hunter, Kubescape, peirates, and manual kubectl exploitation to find paths to cluster compromise. Use for an authorized penetration test or hands-on validation that controls actually stop an attacker. Keywords: kube-hunter, Kubescape, peirates, kubelet 10250, anonymous auth, token theft, lateral movement, cluster takeover. Do not use for a configuration-only compliance audit - use performing-kubernetes-cis-benchmark-with-kube-bench.","domain":"cybersecurity","path":"skills/performing-kubernetes-penetration-testing"},{"name":"performing-lateral-movement-detection","description":"Detects lateral movement techniques including Pass-the-Hash, PsExec, WMI execution, RDP pivoting, and SMB-based spreading by correlating Windows Security/Sysmon event logs, network flow data (NetFlow/Zeek), and endpoint telemetry in a SIEM, mapped to MITRE ATT&CK Lateral Movement (TA0008) techniques with sample SPL detection queries. Use when a SOC team needs to detect attackers pivoting between internal systems after initial compromise, trace an attacker's movement path during an incident investigation, or build detection engineering rules for TA0008; not for detecting initial access or external attacks.","domain":"cybersecurity","path":"skills/performing-lateral-movement-detection"},{"name":"performing-lateral-movement-with-wmiexec","description":"Perform lateral movement across Windows networks using WMI-based remote execution techniques including Impacket wmiexec.py, CrackMapExec, and native WMI commands for stealthy post-exploitation during red team engagements.","domain":"cybersecurity","path":"skills/performing-lateral-movement-with-wmiexec"},{"name":"performing-linux-log-forensics-investigation","description":"Perform forensic investigation of Linux system logs including syslog, auth.log, systemd journal (via journalctl), kern.log, auditd, and application logs to reconstruct user sessions, identify unauthorized access and privilege escalation, trace lateral movement, and establish event timelines. Use when investigating a suspected compromise of a Linux system and needing to analyze SSH, sudo, cron, or kernel-level activity from plain-text or systemd journal logs.","domain":"cybersecurity","path":"skills/performing-linux-log-forensics-investigation"},{"name":"performing-log-analysis-for-forensic-investigation","description":"Collect, parse, and correlate system, application, and security logs to reconstruct events and establish timelines during forensic investigations.","domain":"cybersecurity","path":"skills/performing-log-analysis-for-forensic-investigation"},{"name":"performing-log-source-onboarding-in-siem","description":"Perform structured log source onboarding into SIEM platforms (Splunk, Elastic, Sentinel, QRadar, or similar) by prioritizing sources with a tiered value framework, configuring collectors, building parsers, normalizing fields to a common schema (e.g. CIM), and validating data quality. Use when planning or executing the integration of new log sources \u2014 such as Active Directory, firewalls, EDR, VPN, DNS, or cloud audit logs \u2014 into a SIEM for security monitoring and detection.","domain":"cybersecurity","path":"skills/performing-log-source-onboarding-in-siem"},{"name":"performing-malware-hash-enrichment-with-virustotal","description":"Enrich malware file hashes (MD5, SHA-1, SHA-256) using the VirusTotal API v3 to retrieve multi-engine detection rates, sandbox behavioral analysis, YARA rule matches, related indicators, and community threat intelligence. Use during SOC triage, incident response, or threat intelligence workflows to validate whether a file hash is malicious and gather context for IOC enrichment.","domain":"cybersecurity","path":"skills/performing-malware-hash-enrichment-with-virustotal"},{"name":"performing-malware-ioc-extraction","description":"Malware IOC extraction is the process of analyzing malicious software to identify actionable indicators of compromise including file hashes, network indicators (C2 domains, IP addresses, URLs), regist","domain":"cybersecurity","path":"skills/performing-malware-ioc-extraction"},{"name":"performing-malware-persistence-investigation","description":"Systematically investigate all persistence mechanisms on Windows and Linux systems to identify how malware survives reboots and maintains access.","domain":"cybersecurity","path":"skills/performing-malware-persistence-investigation"},{"name":"performing-malware-triage-with-yara","description":"Performs rapid malware triage and classification using YARA rules that match file patterns, strings, byte sequences, and structural characteristics against known malware families and suspicious indicators, covering rule writing, scanning, and integration into analysis pipelines. Use when classifying a batch of malware samples against known family signatures, writing detection rules for a newly analyzed malware family, or performing signature-based malware triage.","domain":"cybersecurity","path":"skills/performing-malware-triage-with-yara"},{"name":"performing-memory-forensics-with-volatility3","description":"Analyze volatile memory (RAM) dumps using the Volatility 3 framework to extract running processes, network connections, loaded modules, credentials, and encryption keys, and to detect process hollowing, DLL injection, or hidden processes/rootkits. Use during incident response on a compromised or suspect system when disk-based forensics alone is insufficient and volatile evidence of malware or intrusion must be recovered from memory.","domain":"cybersecurity","path":"skills/performing-memory-forensics-with-volatility3"},{"name":"performing-memory-forensics-with-volatility3-plugins","description":"Analyze memory dumps using Volatility3 plugins to detect injected code, rootkits, credential theft, and malware artifacts in Windows, Linux, and macOS memory images.","domain":"cybersecurity","path":"skills/performing-memory-forensics-with-volatility3-plugins"},{"name":"performing-mobile-app-certificate-pinning-bypass","description":"Bypasses SSL/TLS certificate pinning implementations in Android and iOS applications to enable traffic interception during authorized security assessments. Covers OkHttp, TrustManager, NSURLSession, and third-party pinning library bypass techniques using Frida, Objection, and custom scripts. Activates for requests involving certificate pinning bypass, SSL pinning defeat, mobile TLS interception, or proxy-resistant app testing.","domain":"cybersecurity","path":"skills/performing-mobile-app-certificate-pinning-bypass"},{"name":"performing-mobile-device-forensics-with-cellebrite","description":"Acquire and analyze mobile device data using Cellebrite UFED Touch/4PC, UFED Physical Analyzer, and open-source alternatives (ALEAPP, iLEAPP, MEAT, libimobiledevice) to extract communications, call logs, location data, and application artifacts. Use when extracting or recovering deleted evidence from smartphones or tablets during criminal, corporate, or employee-misuse investigations.","domain":"cybersecurity","path":"skills/performing-mobile-device-forensics-with-cellebrite"},{"name":"performing-network-forensics-with-wireshark","description":"Capture and analyze network traffic using Wireshark and tshark to reconstruct network events from PCAP/PCAPNG files, extract transferred files and credentials, and identify command-and-control communications. Use when analyzing captured traffic from a security incident, reconstructing data exfiltration, or finding network indicators of compromise during malware analysis.","domain":"cybersecurity","path":"skills/performing-network-forensics-with-wireshark"},{"name":"performing-network-packet-capture-analysis","description":"Perform forensic analysis of network packet captures (PCAP/PCAPNG) using Wireshark, tshark, and tcpdump to reconstruct network communications, extract transferred files, identify malicious traffic, and establish evidence of data exfiltration or command-and-control activity. Use when a PCAP file from an incident needs to be examined to prove lateral movement, malware delivery, or unauthorized access.","domain":"cybersecurity","path":"skills/performing-network-packet-capture-analysis"},{"name":"performing-network-traffic-analysis-with-tshark","description":"Automate network traffic analysis using tshark (Wireshark CLI) and pyshark to compute protocol distribution statistics, detect suspicious flows such as port scans and beaconing, extract IOCs (IPs, domains, URLs), and identify DNS tunneling patterns from PCAP files. Use when scripted or repeatable analysis of packet captures is needed rather than interactive inspection.","domain":"cybersecurity","path":"skills/performing-network-traffic-analysis-with-tshark"},{"name":"performing-network-traffic-analysis-with-zeek","description":"Deploy Zeek (formerly Bro) as a passive network security monitor to generate structured logs of protocol metadata (HTTP, DNS, TLS, SSH, SMTP, FTP, and more), write custom detection scripts, and integrate outputs with SIEM platforms. Use when standing up continuous, high-fidelity network traffic monitoring for threat detection, anomaly identification, or forensic investigation beyond what raw PCAP analysis provides.","domain":"cybersecurity","path":"skills/performing-network-traffic-analysis-with-zeek"},{"name":"performing-nist-csf-maturity-assessment","description":"Conduct a NIST Cybersecurity Framework (CSF) 2.0 maturity assessment across the six core Functions (Govern, Identify, Protect, Detect, Respond, Recover), scoring organizational posture against the four Implementation Tiers (Partial, Risk-Informed, Repeatable, Adaptive) and producing an improvement roadmap. Use when benchmarking an organization's cybersecurity program maturity or preparing a CSF-based gap analysis and remediation plan.","domain":"cybersecurity","path":"skills/performing-nist-csf-maturity-assessment"},{"name":"performing-oauth-scope-minimization-review","description":"Performs OAuth 2.0 scope minimization review to identify over-permissioned third-party application integrations, excessive API scopes, unused token grants, and risky OAuth consent patterns across identity providers and SaaS platforms. Activates for requests involving OAuth scope audit, API permission review, third-party app risk assessment, or consent grant minimization.","domain":"cybersecurity","path":"skills/performing-oauth-scope-minimization-review"},{"name":"performing-oil-gas-cybersecurity-assessment","description":"Conduct cybersecurity assessments of upstream, midstream, and downstream oil and gas operations, covering pipeline SCADA, refinery DCS, safety instrumented systems, and remote wellhead RTUs, and evaluate compliance with API 1164, TSA Pipeline Security Directives, and IEC 62443. Use when assessing a refinery, pipeline, or production facility or preparing for TSA/API compliance audits; not for IT-only or purely physical-security assessments.","domain":"cybersecurity","path":"skills/performing-oil-gas-cybersecurity-assessment"},{"name":"performing-open-source-intelligence-gathering","description":"Open Source Intelligence (OSINT) gathering is the first active phase of a red team engagement, where operators collect publicly available information about the target organization to identify attack s","domain":"cybersecurity","path":"skills/performing-open-source-intelligence-gathering"},{"name":"performing-osint-with-spiderfoot","description":"Automate OSINT collection with the SpiderFoot REST API and CLI (sf.py/spiderfoot-cli) across 200+ modules, selecting scan modes (footprint, investigate, passive) and parsing results for domains, IPs, emails, leaked credentials, and DNS records into a target intelligence profile. Use when mapping an organization's attack surface or profiling a target for threat intelligence.","domain":"cybersecurity","path":"skills/performing-osint-with-spiderfoot"},{"name":"performing-ot-network-security-assessment","description":"This skill covers conducting comprehensive security assessments of Operational Technology (OT) networks including SCADA systems, DCS architectures, and industrial control system communication paths. It addresses the Purdue Reference Model layers, identifies IT/OT convergence risks, evaluates firewall rules between zones, and maps industrial protocol traffic (Modbus, DNP3, OPC UA, EtherNet/IP) to detect misconfigurations, unauthorized connections, and attack surfaces in critical infrastructure.","domain":"cybersecurity","path":"skills/performing-ot-network-security-assessment"},{"name":"performing-ot-vulnerability-assessment-with-claroty","description":"Perform OT vulnerability assessments using the Claroty xDome platform for asset discovery, risk scoring, and vulnerability correlation, combining passive traffic-based identification and active safe device querying with CVE/ICS-CERT advisory correlation for remediation prioritization. Use for scheduled IEC 62443 or NERC CIP OT vulnerability assessments, initial xDome deployment, or generating CIP-010-4 compliance evidence; not for active PLC scanning or penetration testing.","domain":"cybersecurity","path":"skills/performing-ot-vulnerability-assessment-with-claroty"},{"name":"performing-ot-vulnerability-scanning-safely","description":"Perform vulnerability scanning in OT/ICS environments safely using passive monitoring, native protocol queries, and carefully controlled active scanning with Tenable OT Security to identify vulnerabilities without disrupting industrial processes or crashing legacy controllers.","domain":"cybersecurity","path":"skills/performing-ot-vulnerability-scanning-safely"},{"name":"performing-packet-injection-attack","description":"Crafts and injects custom network packets using Scapy, hping3, and Nemesis during authorized security assessments to test firewall rules, IDS detection, protocol handling, and network stack resilience against malformed and spoofed traffic.","domain":"cybersecurity","path":"skills/performing-packet-injection-attack"},{"name":"performing-paste-site-monitoring-for-credentials","description":"Monitor paste sites like Pastebin and GitHub Gists for leaked credentials, API keys, and sensitive data dumps using automated scraping and keyword matching to detect breaches early.","domain":"cybersecurity","path":"skills/performing-paste-site-monitoring-for-credentials"},{"name":"performing-phishing-simulation-with-gophish","description":"Deploy and run authorized phishing awareness campaigns with GoPhish, covering admin panel setup, SMTP sending profiles, email template and landing page creation, target user groups, and campaign reporting to measure click and credential-submission rates. Use when planning or executing a phishing simulation for employee security-awareness testing or measuring susceptibility to social engineering.","domain":"cybersecurity","path":"skills/performing-phishing-simulation-with-gophish"},{"name":"performing-physical-intrusion-assessment","description":"Conduct authorized physical penetration testing against facilities, server rooms, and restricted areas using tailgating, RFID badge cloning, lock bypassing, rogue network device deployment, and security-guard procedure testing. Use as part of a full-scope red team engagement to evaluate physical security controls and their path to network access, always under signed client authorization.","domain":"cybersecurity","path":"skills/performing-physical-intrusion-assessment"},{"name":"performing-plc-firmware-security-analysis","description":"This skill covers analyzing Programmable Logic Controller (PLC) firmware for security vulnerabilities including hardcoded credentials, insecure update mechanisms, backdoor functions, memory corruption flaws, and undocumented debug interfaces. It addresses firmware extraction from common PLC platforms (Siemens S7, Allen-Bradley, Schneider Modicon), static analysis of firmware images, dynamic analysis in emulated environments, and comparison against known-good baselines to detect tampering.","domain":"cybersecurity","path":"skills/performing-plc-firmware-security-analysis"},{"name":"performing-post-quantum-cryptography-migration","description":"Assesses organizational readiness for post-quantum cryptography migration per NIST FIPS 203/204/205 standards. Performs cryptographic inventory scanning to identify quantum-vulnerable algorithms (RSA, ECDH, ECDSA), evaluates hybrid TLS configurations with X25519MLKEM768, and validates CRYSTALS-Kyber (ML-KEM) and CRYSTALS-Dilithium (ML-DSA) readiness. Implements crypto-agility assessment using oqs-provider for OpenSSL. Use when planning or executing the transition from classical to post-quantum cryptographic algorithms across enterprise infrastructure.","domain":"cybersecurity","path":"skills/performing-post-quantum-cryptography-migration"},{"name":"performing-power-grid-cybersecurity-assessment","description":"Conduct cybersecurity assessments of power grid infrastructure spanning generation, transmission substations, distribution, and EMS control centers, covering NERC CIP compliance verification, IEC 61850 (GOOSE/MMS) substation protocol analysis, and synchrophasor (PMU) network security against threats like Industroyer/CrashOverride. Use for periodic NERC CIP assessments, substation automation or EMS/SCADA security reviews, or regional entity compliance audits; not for non-BES systems or generic OT assessments without power grid specifics.","domain":"cybersecurity","path":"skills/performing-power-grid-cybersecurity-assessment"},{"name":"performing-privacy-impact-assessment","description":"Automates the Privacy Impact Assessment (PIA) workflow including data flow mapping, privacy risk scoring matrices, GDPR Article 35 DPIA and CCPA/CPRA alignment checks, data inventory cataloging, and remediation tracking. Implements the NIST Privacy Framework PRAM methodology and ICO DPIA guidance for systematic identification and mitigation of privacy risks across processing activities. Use when conducting privacy assessments for new systems, evaluating regulatory compliance posture, or building automated privacy governance programs.","domain":"cybersecurity","path":"skills/performing-privacy-impact-assessment"},{"name":"performing-privilege-escalation-assessment","description":"Performs privilege escalation assessments on compromised Linux and Windows systems to identify paths from low-privilege access to root or SYSTEM-level control. The tester enumerates misconfigurations, vulnerable services, kernel exploits, SUID binaries, unquoted service paths, and credential stores to demonstrate the full impact of an initial compromise. Activates for requests involving privilege escalation testing, local exploitation, post-compromise escalation, or OS-level security assessment.","domain":"cybersecurity","path":"skills/performing-privilege-escalation-assessment"},{"name":"performing-privilege-escalation-on-linux","description":"Guides manual enumeration and automated tooling to escalate from a low-privilege Linux user to root by exploiting misconfigurations, vulnerable services, kernel exploits, and weak permissions, mapped to MITRE ATT&CK. Use during authorized red team engagements or penetration tests once initial low-privilege access on a Linux host is obtained and root-level access is needed.","domain":"cybersecurity","path":"skills/performing-privilege-escalation-on-linux"},{"name":"performing-privileged-account-access-review","description":"Conducts systematic reviews of privileged accounts to validate access rights, identify excessive or stale permissions, and enforce least privilege across PAM infrastructure. Use when auditing privileged access for compliance, periodic access recertification, or investigating whether privileged entitlements are still justified.","domain":"cybersecurity","path":"skills/performing-privileged-account-access-review"},{"name":"performing-privileged-account-discovery","description":"Discovers and inventories privileged accounts across enterprise infrastructure, including domain admins, local admins, service accounts, database admins, cloud IAM roles, and application admin accounts, using automated scanning and risk classification. Use when building a privileged account inventory, onboarding accounts to a PAM solution, or scoping which accounts need privileged-access controls.","domain":"cybersecurity","path":"skills/performing-privileged-account-discovery"},{"name":"performing-purple-team-atomic-testing","description":"Executes Atomic Red Team tests mapped to MITRE ATT&CK via Invoke-AtomicRedTeam PowerShell, generates ATT&CK Navigator coverage heatmaps, correlates results against Sigma rules, and runs detection validation loops to measure blue team visibility. Use for purple team exercises, atomic test execution, ATT&CK coverage assessment, or detection engineering validation.","domain":"cybersecurity","path":"skills/performing-purple-team-atomic-testing"},{"name":"performing-purple-team-exercise","description":"Performs purple team exercises by coordinating red team adversary emulation with blue team detection validation using MITRE ATT&CK-mapped attack scenarios, real-time detection testing, and collaborative gap remediation. Use when SOC teams need to validate detection capabilities, improve analyst skills, and close detection gaps through structured offensive-defensive collaboration.","domain":"cybersecurity","path":"skills/performing-purple-team-exercise"},{"name":"performing-ransomware-response","description":"Executes a structured ransomware incident response from detection through containment, forensic analysis, decryption assessment, recovery, and post-incident hardening, covering ransom negotiation, backup integrity verification, and regulatory notification. Use when actively responding to a ransomware outbreak or crypto-ransomware infection, or deciding on ransom payment and containment steps.","domain":"cybersecurity","path":"skills/performing-ransomware-response"},{"name":"performing-ransomware-tabletop-exercise","description":"Plans and facilitates tabletop exercises simulating ransomware incidents, using realistic scenarios based on threat actors like LockBit and ALPHV/BlackCat with injects covering double extortion and backup destruction, then evaluates responses against NIST CSF and CISA guidelines. Use when planning or running a ransomware tabletop exercise or incident response readiness drill.","domain":"cybersecurity","path":"skills/performing-ransomware-tabletop-exercise"},{"name":"performing-red-team-phishing-with-gophish","description":"Automates GoPhish phishing simulation campaigns using the Python gophish library, creating email templates with tracking pixels, configuring SMTP sending profiles, building target groups from CSV, launching campaigns, and analyzing results such as open rates, click rates, and credential submission statistics. Use when running an authorized phishing simulation or security awareness assessment via GoPhish.","domain":"cybersecurity","path":"skills/performing-red-team-phishing-with-gophish"},{"name":"performing-red-team-with-covenant","description":"Conducts red team operations using the Covenant C2 framework for authorized adversary simulation, covering listener setup, grunt deployment, task execution, and lateral movement tracking. Use when standing up or operating a Covenant command-and-control server for an authorized red team engagement.","domain":"cybersecurity","path":"skills/performing-red-team-with-covenant"},{"name":"performing-s7comm-protocol-security-analysis","description":"Perform security analysis of Siemens S7comm and S7CommPlus protocols used by SIMATIC S7 PLCs to identify vulnerabilities including replay attacks, integrity bypass, unauthorized CPU stop commands, and program download manipulation exploiting weaknesses in S7-300, S7-400, S7-1200, and S7-1500 controllers.","domain":"cybersecurity","path":"skills/performing-s7comm-protocol-security-analysis"},{"name":"performing-sca-dependency-scanning-with-snyk","description":"This skill covers implementing Software Composition Analysis (SCA) using Snyk to detect vulnerable open-source dependencies in CI/CD pipelines. It addresses scanning package manifests and lockfiles, automated fix pull request generation, license compliance checking, continuous monitoring of deployed applications, and integration with GitHub, GitLab, and Jenkins pipelines.","domain":"cybersecurity","path":"skills/performing-sca-dependency-scanning-with-snyk"},{"name":"performing-scada-hmi-security-assessment","description":"Perform security assessments of SCADA Human-Machine Interface (HMI) systems to identify vulnerabilities in web-based HMIs, thin-client configurations, authentication mechanisms, and communication channels between HMI and PLCs, aligned with IEC 62443 and NIST SP 800-82 guidelines.","domain":"cybersecurity","path":"skills/performing-scada-hmi-security-assessment"},{"name":"performing-second-order-sql-injection","description":"Detect and exploit second-order SQL injection vulnerabilities where malicious input is stored in a database and later executed in an unsafe SQL query during a different application operation.","domain":"cybersecurity","path":"skills/performing-second-order-sql-injection"},{"name":"performing-security-headers-audit","description":"Auditing HTTP security headers including CSP, HSTS, X-Frame-Options, and cookie attributes to identify missing or misconfigured browser-level protections.","domain":"cybersecurity","path":"skills/performing-security-headers-audit"},{"name":"performing-serverless-function-security-review","description":"Performing security reviews of serverless functions across AWS Lambda, Azure Functions, and GCP Cloud Functions to identify overly permissive execution roles, insecure environment variables, injection vulnerabilities, and missing runtime protections.","domain":"cybersecurity","path":"skills/performing-serverless-function-security-review"},{"name":"performing-service-account-audit","description":"Audit service accounts across enterprise infrastructure to identify orphaned, over-privileged, and non-compliant accounts. This skill covers discovery of service accounts in Active Directory, cloud pl","domain":"cybersecurity","path":"skills/performing-service-account-audit"},{"name":"performing-service-account-credential-rotation","description":"Automates credential rotation for service accounts across Active Directory, cloud platforms, and application databases to eliminate stale secrets and reduce compromise risk. Use when rotating or automating rotation of service account passwords, API keys, or secrets stored in a vault.","domain":"cybersecurity","path":"skills/performing-service-account-credential-rotation"},{"name":"performing-soap-web-service-security-testing","description":"Performs security testing of SOAP web services by analyzing WSDL definitions and testing for XML injection, XXE, WS-Security bypass, SOAPAction spoofing, and XPath injection. Use when assessing a SOAP/WSDL-based API endpoint for XML-related vulnerabilities during a penetration test.","domain":"cybersecurity","path":"skills/performing-soap-web-service-security-testing"},{"name":"performing-soc-tabletop-exercise","description":"Performs tabletop exercises for SOC teams simulating security incidents through discussion-based scenarios to test incident response procedures, communication workflows, and decision-making under pressure without impacting production systems. Use when organizations need to validate IR playbooks, train analysts, or meet compliance requirements for incident response testing.","domain":"cybersecurity","path":"skills/performing-soc-tabletop-exercise"},{"name":"performing-soc2-type2-audit-preparation","description":"Automates SOC 2 Type II audit preparation including gap assessment against AICPA Trust Services Criteria (CC1-CC9), evidence collection from cloud providers and identity systems, control testing validation, remediation tracking, and continuous compliance monitoring. Covers all five TSC categories (Security, Availability, Processing Integrity, Confidentiality, Privacy) with automated evidence gathering from AWS, Azure, GCP, Okta, GitHub, and Jira. Use when preparing for or maintaining SOC 2 Type II certification.","domain":"cybersecurity","path":"skills/performing-soc2-type2-audit-preparation"},{"name":"performing-sqlite-database-forensics","description":"Performs forensic analysis of SQLite databases by examining B-tree page structures, recovering deleted records from freelist pages and Write-Ahead Log (WAL) files, decoding encoded timestamps, and extracting evidence from browser history, messaging apps, and mobile device databases. Use when recovering deleted or unallocated data from a SQLite database during digital forensics or mobile/browser evidence analysis.","domain":"cybersecurity","path":"skills/performing-sqlite-database-forensics"},{"name":"performing-ssl-certificate-lifecycle-management","description":"Automates the full SSL/TLS certificate lifecycle, including generating Certificate Signing Requests, issuing, deploying, monitoring, renewing, and revoking X.509 certificates, using Python and ACME protocol tools. Use when managing certificate issuance or renewal, preventing certificate-expiry outages, or building automated PKI/ACME workflows.","domain":"cybersecurity","path":"skills/performing-ssl-certificate-lifecycle-management"},{"name":"performing-ssl-stripping-attack","description":"Simulates SSL stripping / HTTPS downgrade attacks using sslstrip, Bettercap, and mitmproxy in authorized lab environments to test HSTS enforcement, certificate validation, and HTTPS upgrade mechanisms. Use when performing an authorized penetration test to validate HSTS preloading and TLS certificate handling, demonstrate downgrade-attack risk to stakeholders, or train SOC teams to detect SSL stripping indicators in network traffic.","domain":"cybersecurity","path":"skills/performing-ssl-stripping-attack"},{"name":"performing-ssl-tls-inspection-configuration","description":"Configure SSL/TLS break-and-inspect on next-generation firewalls and forward proxies to decrypt, inspect, and re-encrypt HTTPS traffic for malware and exfiltration detection, including deploying trusted CA certificates, managing exemptions for certificate-pinned apps, and privacy compliance. Use when setting up or auditing TLS inspection on network security devices to close the encrypted-traffic blind spot.","domain":"cybersecurity","path":"skills/performing-ssl-tls-inspection-configuration"},{"name":"performing-ssl-tls-security-assessment","description":"Assess SSL/TLS server configurations using the sslyze Python scanning library to evaluate supported protocol versions, cipher suite strength, certificate chain validation, HSTS enforcement, OCSP stapling, and known vulnerabilities such as Heartbleed and ROBOT. Use when conducting a security assessment of a server's TLS configuration or verifying remediation of cipher/certificate weaknesses.","domain":"cybersecurity","path":"skills/performing-ssl-tls-security-assessment"},{"name":"performing-ssrf-vulnerability-exploitation","description":"Tests web application URL parameters for Server-Side Request Forgery by probing cloud metadata endpoints (AWS/GCP/Azure at 169.254.169.254), internal network services, and protocol handlers (file://, gopher://, dict://) using a Python script, including IP-encoding bypass and DNS rebinding checks. Use during authorized penetration testing to confirm SSRF in a URL-fetching parameter and generate a vulnerability report.","domain":"cybersecurity","path":"skills/performing-ssrf-vulnerability-exploitation"},{"name":"performing-static-malware-analysis-with-pe-studio","description":"Performs static analysis of Windows PE malware samples using PEStudio to examine file headers, imports, strings, and resources without executing the binary, identifying packing, anti-analysis tricks, and malicious imports. Use for pre-execution triage of a suspicious Windows executable before sandbox detonation.","domain":"cybersecurity","path":"skills/performing-static-malware-analysis-with-pe-studio"},{"name":"performing-steganography-detection","description":"Detects and extracts hidden data embedded in images, audio, and other media files using steganalysis tools such as StegDetect, zsteg, stegsolve, binwalk, steghide, and OpenStego to uncover covert communication channels. Use when investigating suspected data hiding or exfiltration via media files, espionage/insider-threat cases, or anomalies in media file properties found during standard file analysis.","domain":"cybersecurity","path":"skills/performing-steganography-detection"},{"name":"performing-subdomain-enumeration-with-subfinder","description":"Enumerate subdomains of target domains using ProjectDiscovery's Subfinder passive reconnaissance tool to map the attack surface during security assessments.","domain":"cybersecurity","path":"skills/performing-subdomain-enumeration-with-subfinder"},{"name":"performing-supply-chain-attack-simulation","description":"Simulates and detects software supply chain attacks: typosquatting detection via Levenshtein distance against popular PyPI package names, dependency confusion testing against private registries, SHA-256 package hash verification, and known-CVE scanning with pip-audit. Use when auditing a project's dependencies for malicious or confused packages, or when assessing package-registry supply-chain risk.","domain":"cybersecurity","path":"skills/performing-supply-chain-attack-simulation"},{"name":"performing-thick-client-application-penetration-test","description":"Conduct a thick client application penetration test to identify insecure local storage, hardcoded credentials, DLL hijacking, memory manipulation, and insecure API communication in desktop applications using dnSpy, Procmon, and Burp Suite.","domain":"cybersecurity","path":"skills/performing-thick-client-application-penetration-test"},{"name":"performing-threat-emulation-with-atomic-red-team","description":"Executes Atomic Red Team tests for MITRE ATT&CK technique validation using the atomic-operator Python framework. Loads test definitions from YAML atomics, runs attack simulations, and validates detection coverage. Use when testing SIEM detection rules, validating EDR coverage, or conducting purple team exercises.","domain":"cybersecurity","path":"skills/performing-threat-emulation-with-atomic-red-team"},{"name":"performing-threat-hunting-with-elastic-siem","description":"Performs proactive threat hunting in Elastic Security SIEM using KQL/EQL queries, detection rules, and Timeline investigation to identify threats that evade automated detection. Use when SOC teams need to hunt for specific ATT&CK techniques, investigate anomalous behaviors, or validate detection coverage gaps using Elasticsearch and Kibana Security.","domain":"cybersecurity","path":"skills/performing-threat-hunting-with-elastic-siem"},{"name":"performing-threat-hunting-with-yara-rules","description":"Use YARA pattern-matching rules to hunt for malware, suspicious files, and indicators of compromise across filesystems and memory dumps. Covers rule authoring, yara-python scanning, and integration with threat intel feeds.","domain":"cybersecurity","path":"skills/performing-threat-hunting-with-yara-rules"},{"name":"performing-threat-intelligence-sharing-with-misp","description":"Uses PyMISP (the official MISP REST API library) to create events with structured IOCs (IPs, domains, hashes, URLs), enrich them with MITRE ATT&CK tags and galaxy clusters, manage sharing groups and distribution levels, search existing intelligence, and export in STIX 2.1 format. Use when creating, enriching, or sharing threat intelligence events on a MISP instance, or integrating IOC feeds with other platforms.","domain":"cybersecurity","path":"skills/performing-threat-intelligence-sharing-with-misp"},{"name":"performing-threat-landscape-assessment-for-sector","description":"Conducts a sector-specific threat landscape assessment (financial, healthcare, energy, government, etc.) by profiling targeting threat actors, mapping attack vectors and MITRE ATT&CK TTPs with the attackcti/pandas Python stack, and analyzing exploited CVEs and incident trends from ISAC and vendor reports. Use when producing CTI for risk management or board-level reporting on an industry's threat exposure.","domain":"cybersecurity","path":"skills/performing-threat-landscape-assessment-for-sector"},{"name":"performing-threat-modeling-with-owasp-threat-dragon","description":"Uses OWASP Threat Dragon (web or desktop) to build data flow diagrams, identify threats with STRIDE, LINDDUN, CIA, DIE, or PLOT4ai methodologies via its auto-generation rule engine, and produce PDF threat model reports. Use during secure design review of an application architecture to build a formal threat model and document mitigations for GRC compliance.","domain":"cybersecurity","path":"skills/performing-threat-modeling-with-owasp-threat-dragon"},{"name":"performing-timeline-reconstruction-with-plaso","description":"Builds comprehensive forensic super-timelines using Plaso (log2timeline and psort) to correlate events across file system metadata, event logs, browser history, and registry artifacts into a unified chronological view. Use during complex forensic investigations that need cross-source event correlation, or when standard log analysis is insufficient to establish the sequence of activities for reporting findings.","domain":"cybersecurity","path":"skills/performing-timeline-reconstruction-with-plaso"},{"name":"performing-user-behavior-analytics","description":"Performs User and Entity Behavior Analytics (UEBA) to detect anomalous user activities including impossible travel, unusual access patterns, privilege abuse, and insider threats using SIEM-based behavioral baselines and statistical analysis. Use when SOC teams need to identify compromised accounts or insider threats through deviation from established behavioral norms.","domain":"cybersecurity","path":"skills/performing-user-behavior-analytics"},{"name":"performing-vlan-hopping-attack","description":"Simulates VLAN hopping attacks using switch spoofing and 802.1Q double tagging techniques in authorized lab environments to test VLAN segmentation effectiveness and switch port security. Use during an authorized penetration test to validate trunk port hardening, confirm DTP is disabled on access ports, and demonstrate Layer 2 segmentation bypass risk to network teams.","domain":"cybersecurity","path":"skills/performing-vlan-hopping-attack"},{"name":"performing-vulnerability-scanning-with-nessus","description":"Performs authenticated and unauthenticated vulnerability scanning using Tenable Nessus to identify known vulnerabilities, misconfigurations, default credentials, and missing patches across network infrastructure, servers, and applications. The scanner correlates findings with CVE databases and CVSS scores to produce prioritized remediation guidance. Activates for requests involving vulnerability scanning, Nessus assessment, patch compliance checking, or automated vulnerability detection.","domain":"cybersecurity","path":"skills/performing-vulnerability-scanning-with-nessus"},{"name":"performing-web-application-firewall-bypass","description":"Bypasses Web Application Firewall protections using encoding tricks, HTTP method manipulation, parameter pollution, and payload obfuscation to smuggle SQL injection, XSS, and other exploit payloads past WAF detection rules. Use when a confirmed vulnerability is blocked by a WAF, during penetration tests or red team engagements requiring bypass of perimeter security controls, or when evaluating WAF rule effectiveness and bypass resistance.","domain":"cybersecurity","path":"skills/performing-web-application-firewall-bypass"},{"name":"performing-web-application-penetration-test","description":"Performs systematic security testing of web applications following the OWASP Web Security Testing Guide (WSTG) methodology to identify vulnerabilities in authentication, authorization, input validation, session management, and business logic. The tester uses Burp Suite as the primary interception proxy alongside manual testing techniques to find flaws that automated scanners miss. Activates for requests involving web app pentest, OWASP testing, application security assessment, or web vulnerability testing.","domain":"cybersecurity","path":"skills/performing-web-application-penetration-test"},{"name":"performing-web-application-scanning-with-nikto","description":"Runs Nikto, an open-source web server and web application scanner, to test over 7,000 potentially dangerous files/programs, check for outdated versions across 1,250+ servers, and identify XSS, SQL injection, misconfigurations, default credentials, and vulnerable CGI scripts. Use when performing web application vulnerability scanning, security assessments, scheduled security testing, or validating web server security controls.","domain":"cybersecurity","path":"skills/performing-web-application-scanning-with-nikto"},{"name":"performing-web-application-vulnerability-triage","description":"Triages web application vulnerability findings from DAST/SAST scanners such as Burp Suite and ZAP, using the OWASP Risk Rating Methodology to confirm true positives, dismiss false positives, and prioritize remediation. Use when reviewing scanner output to reduce alert fatigue and rank vulnerabilities for development teams to fix.","domain":"cybersecurity","path":"skills/performing-web-application-vulnerability-triage"},{"name":"performing-web-cache-deception-attack","description":"Executes web cache deception attacks by exploiting path normalization discrepancies between CDN/reverse-proxy caching layers (Cloudflare, Akamai, Varnish, Nginx) and origin servers to cache and retrieve sensitive authenticated content. Use when testing applications behind CDNs for cache-key misconfigurations, during bug bounty hunting on aggressively cached sites, or when assessing sensitive data exposure through cache layer misconfiguration.","domain":"cybersecurity","path":"skills/performing-web-cache-deception-attack"},{"name":"performing-web-cache-poisoning-attack","description":"Exploiting web cache mechanisms to serve malicious content to other users by poisoning cached responses through unkeyed headers and parameters during authorized security tests.","domain":"cybersecurity","path":"skills/performing-web-cache-poisoning-attack"},{"name":"performing-wifi-password-cracking-with-aircrack","description":"Captures WPA/WPA2 handshakes and performs offline password cracking using aircrack-ng, hashcat, and dictionary attacks during authorized wireless security assessments to evaluate passphrase strength and wireless network security posture.","domain":"cybersecurity","path":"skills/performing-wifi-password-cracking-with-aircrack"},{"name":"performing-windows-artifact-analysis-with-eric-zimmerman-tools","description":"Performs comprehensive Windows forensic artifact analysis using Eric Zimmerman's open-source EZ Tools suite (KAPE, MFTECmd, PECmd, LECmd, JLECmd, Timeline Explorer) to parse registry hives, prefetch files, event logs, and file system metadata. Use during DFIR investigations that need a timeline of program execution, file access, and persistence built from Windows artifacts.","domain":"cybersecurity","path":"skills/performing-windows-artifact-analysis-with-eric-zimmerman-tools"},{"name":"performing-wireless-network-penetration-test","description":"Execute a wireless network penetration test to assess WiFi security by capturing handshakes, cracking WPA2/WPA3 keys, detecting rogue access points, and testing wireless segmentation using Aircrack-ng and related tools.","domain":"cybersecurity","path":"skills/performing-wireless-network-penetration-test"},{"name":"performing-wireless-security-assessment-with-kismet","description":"Conduct wireless network security assessments using Kismet to detect rogue access points, hidden SSIDs, weak encryption, and unauthorized clients through passive RF monitoring.","domain":"cybersecurity","path":"skills/performing-wireless-security-assessment-with-kismet"},{"name":"performing-yara-rule-development-for-detection","description":"Develops precise YARA and YARA-X rules for malware detection by identifying unique strings, byte sequences, PE header traits, and behavioral indicators in unpacked malware artifacts while minimizing false positives. Use when building detection signatures for threat hunting, classifying malware families, or authoring rules from IOCs such as C2 URLs, mutex names, and encryption constants.","domain":"cybersecurity","path":"skills/performing-yara-rule-development-for-detection"},{"name":"post-exploiting-microsoft-graph-with-graphrunner","description":"Runs GraphRunner, a PowerShell post-exploitation toolset built on the Microsoft Graph API, to perform tenant recon, establish persistence (OAuth app injection, inbox rules), escalate privilege via group manipulation, and pillage mailboxes, SharePoint, and Teams data from a foothold Graph token. Use during authorized red-team engagements against Microsoft 365/Entra ID tenants once you hold a Graph token.","domain":"cybersecurity","path":"skills/post-exploiting-microsoft-graph-with-graphrunner"},{"name":"prioritizing-vulnerabilities-with-cvss-scoring","description":"The Common Vulnerability Scoring System (CVSS) is the industry standard framework maintained by FIRST (Forum of Incident Response and Security Teams) for assessing vulnerability severity. CVSS v4.0 (r","domain":"cybersecurity","path":"skills/prioritizing-vulnerabilities-with-cvss-scoring"},{"name":"processing-stix-taxii-feeds","description":"Processes STIX 2.1 threat intelligence bundles delivered via TAXII 2.1 servers, normalizing objects into platform-native schemas and routing them to appropriate consuming systems. Use when onboarding new TAXII collection endpoints, automating bi-directional intelligence sharing with ISACs, or building pipeline validation for malformed STIX bundles. Activates for requests involving OASIS STIX, TAXII server configuration, MISP TAXII, or Cortex XSOAR feed integrations.","domain":"cybersecurity","path":"skills/processing-stix-taxii-feeds"},{"name":"profiling-threat-actor-groups","description":"Develops comprehensive threat actor profiles for APT groups, criminal organizations, and hacktivist collectives by aggregating TTP documentation, historical campaign data, tooling fingerprints, and attribution indicators from multiple intelligence sources. Use when briefing executives on sector-specific threats, updating threat model assumptions, or prioritizing defensive controls against specific adversaries. Activates for requests involving MITRE ATT&CK Groups, Mandiant APT profiles, CrowdStrike adversary naming, or sector-specific threat briefings.","domain":"cybersecurity","path":"skills/profiling-threat-actor-groups"},{"name":"recovering-deleted-files-with-photorec","description":"Recovers deleted files from disk images and storage media using PhotoRec's file signature-based carving engine, which works regardless of file system damage or corruption. Use when recovering deleted or lost files from a forensic disk image, damaged storage device, or corrupted file system during evidence recovery.","domain":"cybersecurity","path":"skills/recovering-deleted-files-with-photorec"},{"name":"recovering-from-ransomware-attack","description":"Executes structured ransomware incident recovery following NIST/CISA frameworks: environment isolation, forensic evidence preservation, clean infrastructure rebuild, prioritized restoration from verified backups, credential reset, and Active Directory/database recovery in dependency order. Use when recovering from a ransomware attack, performing post-encryption restoration, or executing disaster recovery after ransomware encryption.","domain":"cybersecurity","path":"skills/recovering-from-ransomware-attack"},{"name":"red-teaming-llms-with-garak","description":"Runs NVIDIA garak probe suites (jailbreak, prompt injection, data leakage, toxicity, and more) against an LLM endpoint - Hugging Face models, OpenAI-compatible APIs, or Bedrock - then interprets the resulting hit-rate report for triage. Use when baselining LLM security before/after deployment, validating that a guardrail or fine-tune reduces jailbreak/injection success rates, or producing evidence for an AI risk assessment.","domain":"cybersecurity","path":"skills/red-teaming-llms-with-garak"},{"name":"relaying-ntlm-for-adcs-esc8","description":"Uses Impacket's ntlmrelayx.py with a coercion tool (PetitPotam, Coercer, printerbug) to relay NTLM authentication from a coerced domain controller into the AD CS HTTP web-enrollment endpoint (ESC8), obtaining a DC certificate usable via Certipy for PKINIT/DCSync. Use during internal AD penetration tests or purple-team exercises when AD CS Web Enrollment lacks Extended Protection for Authentication.","domain":"cybersecurity","path":"skills/relaying-ntlm-for-adcs-esc8"},{"name":"remediating-s3-bucket-misconfiguration","description":"Provides step-by-step procedures for remediating Amazon S3 bucket misconfigurations that expose sensitive data: enabling S3 Block Public Access, auditing bucket policies and ACLs, enforcing encryption, configuring access logging, and deploying automated remediation with AWS Config and Lambda. Use when AWS Config or Security Hub flags public or unencrypted S3 buckets, or preparing audit evidence for storage security controls.","domain":"cybersecurity","path":"skills/remediating-s3-bucket-misconfiguration"},{"name":"reverse-engineering-android-malware-with-jadx","description":"Reverse engineers malicious Android APK files using the JADX decompiler to read Java/Kotlin source, inspect manifest permissions, receivers, services, and native libraries, and identify data theft, C2 communication, privilege escalation, or overlay-attack behavior. Use when analyzing a suspected Android banking trojan, spyware, SMS stealer, or other flagged APK, or when investigating mobile malware or Android threats generally.","domain":"cybersecurity","path":"skills/reverse-engineering-android-malware-with-jadx"},{"name":"reverse-engineering-dotnet-malware-with-dnspy","description":"Reverse engineers .NET malware samples using the dnSpy decompiler and debugger to read C#/VB.NET source, deobfuscate code protected by tools like ConfuserEx or SmartAssembly, and extract hardcoded C2 configurations, keys, and credentials. Use when a sample is identified as a .NET assembly (e.g. AgentTesla, AsyncRAT, RedLine Stealer, Quasar RAT) and needs decompilation, deobfuscation, or config extraction.","domain":"cybersecurity","path":"skills/reverse-engineering-dotnet-malware-with-dnspy"},{"name":"reverse-engineering-ios-app-with-frida","description":"Reverse engineers iOS applications using Frida dynamic instrumentation to understand internal logic, extract encryption keys, bypass security controls, and discover hidden functionality without source code access. Use when performing authorized iOS penetration testing, analyzing proprietary protocols, understanding obfuscated logic, or extracting runtime secrets from iOS binaries. Activates for requests involving iOS reverse engineering, Frida iOS hooking, Objective-C/Swift method tracing, or iOS binary analysis.","domain":"cybersecurity","path":"skills/reverse-engineering-ios-app-with-frida"},{"name":"reverse-engineering-malware-with-ghidra","description":"Reverse engineers malware binaries using NSA's Ghidra disassembler and decompiler to study internal logic, cryptographic routines, C2 protocols, and evasion techniques at the assembly and pseudo-C level. Use when static or dynamic analysis flags suspicious functionality needing deeper code review, such as reversing C2 protocols, encryption algorithms, custom obfuscation, or a sample's exploit mechanism.","domain":"cybersecurity","path":"skills/reverse-engineering-malware-with-ghidra"},{"name":"reverse-engineering-ransomware-encryption-routine","description":"Reverse engineer ransomware encryption routines to identify cryptographic algorithms, key generation flaws, and potential decryption opportunities using static and dynamic analysis.","domain":"cybersecurity","path":"skills/reverse-engineering-ransomware-encryption-routine"},{"name":"reverse-engineering-rust-malware","description":"Reverse engineers Rust-compiled malware using IDA Pro and Ghidra, covering techniques for non-null-terminated fat-pointer strings, monomorphized/duplicated generic code, Result/Option unwrap chains, crate dependency extraction, and Rust-specific control flow and calling conventions. Use when analyzing Rust-based malware samples (e.g. BlackCat/ALPHV, Hive, Buer Loader) or attack artifacts in an authorized, controlled environment.","domain":"cybersecurity","path":"skills/reverse-engineering-rust-malware"},{"name":"scanning-container-images-with-grype","description":"Scans container images, filesystems, and SBOMs for known CVEs with Anchore Grype, matching Syft-generated SBOM packages against NVD, GitHub Advisories, and OS-specific feeds with configurable severity thresholds and failure gates. Use when Grype or Syft is the chosen toolchain, when scanning an existing SBOM rather than an image, or when gating a build on severity. Keywords: Grype, Syft, SBOM, NVD, GitHub Advisory, --fail-on, severity threshold. Do not use when the toolchain is Trivy - use scanning-docker-images-with-trivy.","domain":"cybersecurity","path":"skills/scanning-container-images-with-grype"},{"name":"scanning-containers-with-trivy-in-cicd","description":"Integrates Aqua Security's Trivy scanner into CI/CD pipelines to detect OS package and application dependency CVEs, Dockerfile misconfigurations, and issues in filesystems or git repositories, and to enforce severity-based quality gates that block vulnerable images from being deployed. Use when building Docker images in CI/CD and needing automated vulnerability scanning and pass/fail gates before registry push or production deployment.","domain":"cybersecurity","path":"skills/scanning-containers-with-trivy-in-cicd"},{"name":"scanning-docker-images-with-trivy","description":"Scans a Docker image with Trivy for vulnerabilities in OS packages and language dependencies, misconfiguration, exposed secrets, and licence violations, emitting SARIF, CycloneDX, or SPDX output. Use when scanning or gating a specific image, wiring an image scan into CI/CD, or checking an image during an incident investigation. Keywords: Trivy, image scan, --severity, --exit-code, SARIF, ignore file, .trivyignore. Do not use for cluster-wide scanning or non-image targets - use performing-container-security-scanning-with-trivy; when the toolchain is Grype use scanning-container-images-with-grype.","domain":"cybersecurity","path":"skills/scanning-docker-images-with-trivy"},{"name":"scanning-iac-and-images-with-trivy","description":"Scans container images, Infrastructure-as-Code (Terraform, CloudFormation, Kubernetes manifests, Dockerfile, Helm), filesystems, git repos, and SBOMs with Trivy's vuln, misconfig, secret, and license scanners. Use when building a CI/CD security gate that scans images before push, IaC before apply, or SBOMs for supply-chain weaknesses, and fails the build on policy violations.","domain":"cybersecurity","path":"skills/scanning-iac-and-images-with-trivy"},{"name":"scanning-infrastructure-with-nessus","description":"Tenable Nessus is the industry-leading vulnerability scanner used to identify security weaknesses across network infrastructure including servers, workstations, network devices, and operating systems.","domain":"cybersecurity","path":"skills/scanning-infrastructure-with-nessus"},{"name":"scanning-kubernetes-manifests-with-kubesec","description":"Scores Kubernetes resource manifests with Kubesec to flag misconfiguration and privilege-escalation risk before deployment, mapping each finding back to the securityContext change that fixes it. Use when gating manifests in CI, reviewing YAML or a rendered chart before it reaches a cluster, or explaining why a manifest scored negatively. Keywords: Kubesec, manifest score, securityContext, readOnlyRootFilesystem, runAsNonRoot, CI gate. Do not use for scanning built images for CVEs - use scanning-docker-images-with-trivy; for admission-time enforcement use implementing-opa-gatekeeper-for-policy-enforcement.","domain":"cybersecurity","path":"skills/scanning-kubernetes-manifests-with-kubesec"},{"name":"scanning-network-with-nmap-advanced","description":"Performs advanced network recon using Nmap's Scripting Engine (NSE), timing controls, firewall/IDS evasion, and structured output parsing to discover hosts, enumerate service versions, detect vulnerabilities, and fingerprint OSes. Use during authorized penetration tests or enterprise asset-discovery assessments needing scan evasion, NSE vulnerability checks, or output fed into a vulnerability management pipeline.","domain":"cybersecurity","path":"skills/scanning-network-with-nmap-advanced"},{"name":"securing-agentic-ai-tool-invocation","description":"Implements defense-in-depth controls at an AI agent's tool-invocation boundary using tool allowlisting, least-privilege identity binding, NeMo Guardrails policy enforcement, human-in-the-loop approval, and audit logging. Use when hardening an agent that calls tools with real side effects (email, payments, file writes, code execution), mapping OWASP Agentic AI Top 10 controls, or bounding prompt-injection blast radius.","domain":"cybersecurity","path":"skills/securing-agentic-ai-tool-invocation"},{"name":"securing-api-gateway-with-aws-waf","description":"Secures AWS API Gateway endpoints with AWS WAF by configuring managed rule groups for OWASP Top 10 protection, custom rate-limiting rules, bot control, IP reputation filtering, and WAF metric monitoring. Use when deploying API Gateway endpoints that need protection against common web attacks, or when implementing rate limiting and throttling to prevent API abuse and DDoS.","domain":"cybersecurity","path":"skills/securing-api-gateway-with-aws-waf"},{"name":"securing-aws-iam-permissions","description":"Hardens AWS IAM configurations to enforce least-privilege access, covering IAM policy scoping, permission boundaries, IAM Access Analyzer integration, and credential rotation strategies. Use when reducing the blast radius of compromised AWS identities, auditing overly permissive IAM policies, or setting up permission boundaries and Access Analyzer findings review across cloud accounts.","domain":"cybersecurity","path":"skills/securing-aws-iam-permissions"},{"name":"securing-aws-lambda-execution-roles","description":"Hardens AWS Lambda execution roles by writing least-privilege IAM policies, applying permission boundaries, restricting resource-based policies, validating permissions with IAM Access Analyzer, and enforcing role scoping through SCPs. Use when deploying new Lambda functions, remediating overly permissive Lambda roles found in an audit, or building reusable least-privilege IAM role templates for serverless teams.","domain":"cybersecurity","path":"skills/securing-aws-lambda-execution-roles"},{"name":"securing-azure-with-microsoft-defender","description":"Deploys and configures Microsoft Defender for Cloud as a CNAPP for Azure, multi-cloud, and hybrid environments: enabling Defender plans for servers, containers, storage, and databases, configuring recommendations, and managing Secure Score via the unified Defender portal. Use when onboarding workloads to Defender for Cloud or setting up cloud workload protection and threat monitoring.","domain":"cybersecurity","path":"skills/securing-azure-with-microsoft-defender"},{"name":"securing-container-registry-images","description":"Secures container registry images (ECR, ACR, GCR, Docker Hub) by scanning with Trivy and Grype, signing with Cosign and Sigstore, configuring registry access controls, and building CI/CD pipelines that block unscanned or unsigned images. Use when establishing registry security controls or enforcing scan/signature checks before image promotion.","domain":"cybersecurity","path":"skills/securing-container-registry-images"},{"name":"securing-container-registry-with-harbor","description":"Configures the security features of the Harbor open-source container registry - integrated Trivy scanning, Cosign and Notary content trust policies, project-level RBAC, immutable tag and retention rules, and OIDC authentication - to enforce provenance and block deployment of vulnerable images. Use when deploying or hardening Harbor, or when compliance requires that only signed and scanned images can be pulled. Keywords: Harbor, project policy, content trust, immutable tag, retention, robot account, OIDC, replication. Do not use for signing images with Cosign outside a registry - use implementing-image-provenance-verification-with-cosign.","domain":"cybersecurity","path":"skills/securing-container-registry-with-harbor"},{"name":"securing-github-actions-workflows","description":"Hardens GitHub Actions workflows against supply chain attacks, credential theft, and privilege escalation: pinning actions to SHA digests, minimizing GITHUB_TOKEN permissions, protecting secrets, preventing script injection in workflow expressions, and requiring reviewers for workflow changes. Use when hardening GitHub Actions workflows that handle secrets, deploy to production, or run with elevated permissions.","domain":"cybersecurity","path":"skills/securing-github-actions-workflows"},{"name":"securing-helm-chart-deployments","description":"Secures Helm chart deployments by verifying chart signatures and provenance, rendering and linting templates for misconfiguration, enforcing pod security contexts through values.yaml, moving secrets into an external store instead of Helm values, and scoping RBAC for Helm operations in CI/CD. Use when deploying charts to Kubernetes or reviewing chart provenance, templates, or release RBAC. Keywords: Helm, provenance file, helm verify, helm lint, values.yaml, Tiller-less, release RBAC, external secrets. Do not use for scanning the rendered manifests themselves - use scanning-kubernetes-manifests-with-kubesec.","domain":"cybersecurity","path":"skills/securing-helm-chart-deployments"},{"name":"securing-historian-server-in-ot-environment","description":"Audits and hardens process historian servers (OSIsoft PI, Honeywell PHD, GE Proficy, AVEVA Historian) in OT environments: Purdue-level network placement, interface access control, secure DMZ replication via data diodes or PI-to-PI connectors, SQL injection prevention, and process data integrity. Use when auditing or hardening a historian server, or designing secure OT-to-IT data replication through a DMZ.","domain":"cybersecurity","path":"skills/securing-historian-server-in-ot-environment"},{"name":"securing-kubernetes-on-cloud","description":"Hardens managed Kubernetes clusters on EKS, AKS, and GKE by implementing Pod Security Standards, network policies, workload identity (IRSA for EKS, Workload Identity for GKE, Managed Identities for AKS), RBAC scoping, image admission controls, and runtime security monitoring. Use when deploying a new managed Kubernetes cluster with security requirements or hardening an existing EKS, AKS, or GKE cluster after an audit or pentest finding.","domain":"cybersecurity","path":"skills/securing-kubernetes-on-cloud"},{"name":"securing-remote-access-to-ot-environment","description":"Designs and configures secure remote access to OT/ICS environments for operators, engineers, and vendors: jump server architecture, multi-factor authentication, session recording, privileged access management, vendor access controls, and IEC 62443 / NERC CIP-005 compliance. Use when designing OT remote access architecture or configuring a jump server with privileged access management.","domain":"cybersecurity","path":"skills/securing-remote-access-to-ot-environment"},{"name":"securing-serverless-functions","description":"Hardens serverless compute platforms (AWS Lambda, Azure Functions, Google Cloud Functions): least-privilege IAM roles, dependency vulnerability scanning, secrets management integration, input validation, function URL authentication, and runtime monitoring. Use when deploying serverless functions with sensitive access, auditing for overly permissive roles, or adding functions to a DevSecOps pipeline.","domain":"cybersecurity","path":"skills/securing-serverless-functions"},{"name":"testing-android-intents-for-vulnerabilities","description":"Tests Android inter-process communication (IPC) through intents for vulnerabilities including intent injection, unauthorized component access, broadcast sniffing, pending intent hijacking, and content provider data leakage. Use when assessing Android app attack surface through exported components, testing intent-based data flows, or evaluating IPC security. Activates for requests involving Android intent security, IPC testing, exported component analysis, or Drozer assessment.","domain":"cybersecurity","path":"skills/testing-android-intents-for-vulnerabilities"},{"name":"testing-api-authentication-weaknesses","description":"Tests API authentication mechanisms for weaknesses including broken token validation, missing authentication on endpoints, weak password policies, credential stuffing susceptibility, token leakage in URLs or logs, and session management flaws. The tester evaluates JWT implementation, API key handling, OAuth flows, and session token entropy to identify authentication bypasses. Maps to OWASP API2:2023 Broken Authentication. Activates for requests involving API authentication testing, token validation assessment, credential security testing, or API auth bypass.","domain":"cybersecurity","path":"skills/testing-api-authentication-weaknesses"},{"name":"testing-api-for-broken-object-level-authorization","description":"Tests REST and GraphQL APIs for Broken Object Level Authorization (BOLA/IDOR, OWASP API1:2023) by intercepting API calls, identifying object ID parameters (numeric IDs, UUIDs, slugs), and systematically substituting IDs belonging to other users to check whether the server enforces per-object authorization. Use when asked to test BOLA or IDOR in an API, verify object-level authorization, or assess an API for access control bypass.","domain":"cybersecurity","path":"skills/testing-api-for-broken-object-level-authorization"},{"name":"testing-api-for-mass-assignment-vulnerability","description":"Tests APIs for mass assignment (auto-binding), OWASP API3:2023, by identifying writable endpoints, adding undocumented fields to request bodies (role, isAdmin, price, balance), and checking whether the server binds them to the data model without filtering. Use when testing an API for mass assignment, parameter binding abuse, or over-posting on profile, registration, or object-creation endpoints.","domain":"cybersecurity","path":"skills/testing-api-for-mass-assignment-vulnerability"},{"name":"testing-api-security-with-owasp-top-10","description":"Systematically assesses REST, GraphQL, and gRPC API endpoints against the OWASP API Security Top 10 (2023) using Burp Suite and Postman for automated and manual testing. Use during authorized API penetration tests, before deploying new endpoints to production, or when validating API gateway controls and rate limiting.","domain":"cybersecurity","path":"skills/testing-api-security-with-owasp-top-10"},{"name":"testing-cors-misconfiguration","description":"Identifying and exploiting Cross-Origin Resource Sharing misconfigurations that allow unauthorized cross-domain data access and credential theft during security assessments.","domain":"cybersecurity","path":"skills/testing-cors-misconfiguration"},{"name":"testing-for-broken-access-control","description":"Systematically tests web applications and APIs for broken access control (OWASP A01:2021), including privilege escalation, missing function-level checks, insecure direct object references, and multi-tenant data leakage, using Burp Suite with the Authorize extension. Use during authorized penetration tests or RBAC/multi-tenant authorization audits.","domain":"cybersecurity","path":"skills/testing-for-broken-access-control"},{"name":"testing-for-business-logic-vulnerabilities","description":"Manually identifies flaws in application business logic - price manipulation, multi-step workflow bypass, and privilege escalation - by intercepting and modifying requests with Burp Suite, going beyond what automated vulnerability scanners detect. Use for e-commerce checkout/cart flows, voucher and rewards systems, or any assessment where scanners find little but business rules need scrutiny.","domain":"cybersecurity","path":"skills/testing-for-business-logic-vulnerabilities"},{"name":"testing-for-email-header-injection","description":"Tests web application email functionality (contact forms, password reset, newsletter subscriptions) for CRLF/SMTP header injection using Burp Suite and OWASP ZAP, checking whether attackers can inject headers, modify recipients, or abuse forms for spam relay. Use when testing any user-input-driven email-sending feature during a penetration test.","domain":"cybersecurity","path":"skills/testing-for-email-header-injection"},{"name":"testing-for-host-header-injection","description":"Test web applications for HTTP Host header injection vulnerabilities to identify password reset poisoning, web cache poisoning, SSRF, and virtual host routing manipulation risks.","domain":"cybersecurity","path":"skills/testing-for-host-header-injection"},{"name":"testing-for-json-web-token-vulnerabilities","description":"Tests JWT implementations for algorithm confusion, \"none\" algorithm bypass, kid/jku parameter injection, and weak secret exploitation using jwt_tool and Burp Suite's JWT Editor extension, aiming to achieve authentication bypass and privilege escalation. Use when assessing JWT-based auth/session management, OAuth2/OIDC token handling, or SSO systems during a security engagement.","domain":"cybersecurity","path":"skills/testing-for-json-web-token-vulnerabilities"},{"name":"testing-for-open-redirect-vulnerabilities","description":"Identifies and exploits open redirect vulnerabilities by analyzing URL redirection parameters (next, url, redirect, return, goto), applying bypass techniques, and chaining findings into phishing or token-theft exploits, using Burp Suite/OWASP ZAP and Burp Collaborator. Use when testing login/logout flows, OAuth redirect_uri handling, or SSO redirect validation.","domain":"cybersecurity","path":"skills/testing-for-open-redirect-vulnerabilities"},{"name":"testing-for-sensitive-data-exposure","description":"Identifying sensitive data exposure vulnerabilities including API key leakage, PII in responses, insecure storage, and unprotected data transmission during security assessments.","domain":"cybersecurity","path":"skills/testing-for-sensitive-data-exposure"},{"name":"testing-for-system-prompt-leakage","description":"Extracts LLM system prompts using direct requests, jailbreak/instruction-override framing, translation/encoding tricks, and few-shot replay, combining manual payloads with automated garak and Promptfoo scanners to surface embedded secrets, routing logic, and policy leakage (OWASP LLM07:2025). Use during LLM application red-team engagements or when validating that no credentials or authorization logic live in the system prompt.","domain":"cybersecurity","path":"skills/testing-for-system-prompt-leakage"},{"name":"testing-for-xml-injection-vulnerabilities","description":"Test web applications for XML injection vulnerabilities including XXE, XPath injection, and XML entity attacks to identify data exposure and server-side request forgery risks.","domain":"cybersecurity","path":"skills/testing-for-xml-injection-vulnerabilities"},{"name":"testing-for-xss-vulnerabilities","description":"Tests web applications for reflected, stored, and DOM-based Cross-Site Scripting by injecting JavaScript payloads with Burp Suite (XSS extensions, Active Scan++) and browser tools, then bypassing sanitization and CSP to demonstrate session hijacking and user impersonation. Use for OWASP WSTG client-side injection testing or when evaluating input sanitization and output encoding coverage.","domain":"cybersecurity","path":"skills/testing-for-xss-vulnerabilities"},{"name":"testing-for-xss-vulnerabilities-with-burpsuite","description":"Identifying and validating cross-site scripting vulnerabilities using Burp Suite's scanner, intruder, and repeater tools during authorized security assessments.","domain":"cybersecurity","path":"skills/testing-for-xss-vulnerabilities-with-burpsuite"},{"name":"testing-for-xxe-injection-vulnerabilities","description":"Discovering and exploiting XML External Entity injection vulnerabilities to read server files, perform SSRF, and exfiltrate data during authorized penetration tests.","domain":"cybersecurity","path":"skills/testing-for-xxe-injection-vulnerabilities"},{"name":"testing-jwt-token-security","description":"Assessing JSON Web Token implementations for cryptographic weaknesses, algorithm confusion attacks, and authorization bypass vulnerabilities during security engagements.","domain":"cybersecurity","path":"skills/testing-jwt-token-security"},{"name":"testing-mobile-api-authentication","description":"Tests authentication and authorization mechanisms in mobile application APIs to identify broken authentication, insecure token management, session fixation, privilege escalation, and IDOR vulnerabilities. Use when performing API security assessments against mobile app backends, testing JWT implementations, evaluating OAuth flows, or assessing session management. Activates for requests involving mobile API auth testing, token security assessment, OAuth mobile flow testing, or API authorization bypass.","domain":"cybersecurity","path":"skills/testing-mobile-api-authentication"},{"name":"testing-oauth2-implementation-flaws","description":"Tests OAuth 2.0 and OpenID Connect implementations for authorization code interception, redirect URI manipulation, CSRF in OAuth flows, token leakage, scope escalation, and PKCE bypass, using Burp Suite Professional and the EsPReSSO extension to probe the authorization server, client, and token handling. Use when assessing OAuth2/OIDC flows or SSO systems for misconfigurations enabling account takeover.","domain":"cybersecurity","path":"skills/testing-oauth2-implementation-flaws"},{"name":"testing-prompt-injection-in-rag-pipelines","description":"Probes Retrieval-Augmented Generation pipelines for indirect prompt injection via poisoned retrieved documents and embedding-space manipulation, using NVIDIA garak, Promptfoo red-team plugins, and Microsoft PyRIT against vector stores like FAISS, Chroma, Pinecone, or pgvector. Use when security-testing a RAG chatbot or document-Q&A system, validating retrieval guardrails, or gating CI/CD on prompt-template/retriever changes.","domain":"cybersecurity","path":"skills/testing-prompt-injection-in-rag-pipelines"},{"name":"testing-ransomware-recovery-procedures","description":"Tests and validates ransomware recovery procedures - backup restore operations (e.g. with Restic), RTO/RPO target verification, recovery sequencing, and clean-restore validation - to confirm organizational resilience against destructive ransomware attacks. Use when validating that recovery plans work under realistic conditions, measuring RTO/RPO against business requirements, or testing restore integrity after simulated encryption.","domain":"cybersecurity","path":"skills/testing-ransomware-recovery-procedures"},{"name":"testing-websocket-api-security","description":"Tests WebSocket API implementations for missing upgrade-handshake authentication, Cross-Site WebSocket Hijacking (CSWSH), message injection, insufficient input validation, message-flooding DoS, and information leakage, using Burp Suite's WebSocket interception and the wscat CLI to craft malicious payloads. Use for real-time API penetration testing or CSWSH/authorization-bypass assessments on WebSocket channels.","domain":"cybersecurity","path":"skills/testing-websocket-api-security"},{"name":"tracking-threat-actor-infrastructure","description":"Discovers and maps adversary-controlled infrastructure (C2 servers, phishing domains, exploit-kit hosts, bulletproof hosting) by pivoting across passive DNS, certificate transparency logs, Shodan/Censys scans, WHOIS records, and network fingerprints (JARM/JA3S). Use when tracking threat actor infrastructure, expanding a known IOC into related assets, or producing STIX-based threat intelligence during a CTI investigation.","domain":"cybersecurity","path":"skills/tracking-threat-actor-infrastructure"},{"name":"triaging-security-alerts-in-splunk","description":"Triages security alerts in Splunk Enterprise Security by classifying severity, investigating notable events, correlating related telemetry, and making escalation or closure decisions using SPL queries and the Incident Review dashboard. Use when SOC analysts face queued alerts from correlation searches, need to prioritize investigation order, or must document triage decisions for handoff to Tier 2/3 analysts.","domain":"cybersecurity","path":"skills/triaging-security-alerts-in-splunk"},{"name":"triaging-security-incident","description":"Performs initial triage of security incidents using the NIST SP 800-61r3 and SANS PICERL frameworks, classifying incident type, assigning priority by business impact, and routing to the appropriate response team. Use when a SIEM/EDR alert needs human classification, concurrent alerts must be prioritized, or a user report or threat-intel IOC match requires initial incident categorization.","domain":"cybersecurity","path":"skills/triaging-security-incident"},{"name":"triaging-security-incident-with-ir-playbook","description":"Classifies and prioritizes security incidents using structured IR playbooks and SIEM/case-management queries (Splunk, TheHive) to determine severity, assign response teams, and initiate the appropriate response procedures. Use when a new SOC alert needs triage, multiple concurrent incidents require prioritization, or automated triage rules need validation or tuning.","domain":"cybersecurity","path":"skills/triaging-security-incident-with-ir-playbook"},{"name":"triaging-vulnerabilities-with-ssvc-framework","description":"Triages and prioritizes vulnerabilities with CISA's Stakeholder-Specific Vulnerability Categorization (SSVC) decision tree, weighing exploitation status (via the CISA KEV catalog and FIRST EPSS API), technical impact, automatability, and mission prevalence to output Track/Track*/Attend/Act decisions. Use when prioritizing vulnerability scan results (OpenVAS, Nessus, Qualys) for remediation planning beyond raw CVSS scores.","domain":"cybersecurity","path":"skills/triaging-vulnerabilities-with-ssvc-framework"},{"name":"triaging-windows-with-kape","description":"Runs KAPE (Kroll Artifact Parser and Extractor) to collect targeted forensic artifacts (registry hives, $MFT, event logs, prefetch, browser data) via Targets and parse them with Modules wrapping Eric Zimmerman's EZ Tools (PECmd, MFTECmd, RECmd). Use during early incident containment/triage when full disk imaging is impractical but a defensible, parseable Windows artifact set is needed quickly, including at-scale remote collection.","domain":"cybersecurity","path":"skills/triaging-windows-with-kape"},{"name":"validating-backup-integrity-for-recovery","description":"Validates backup integrity through cryptographic hash verification, automated restore testing, corruption detection, and recoverability checks to confirm backups are reliable for disaster recovery and ransomware response. Use before relying on backups for recovery, when building post-backup validation pipelines, auditing backup infrastructure for compliance, or checking immutable/air-gapped backups for silent corruption or tampering.","domain":"cybersecurity","path":"skills/validating-backup-integrity-for-recovery"},{"name":"validating-tpm-measured-boot-attestation","description":"Verifies TPM 2.0 measured-boot integrity and remote attestation with tpm2-tools -- reading PCRs (tpm2_pcrread), replaying the boot event log, generating and checking signed quotes (tpm2_quote/tpm2_checkquote), and sealing secrets to a PCR policy. Use to confirm a system booted trusted firmware/kernel for Zero Trust device posture, detect boot-chain tampering via PCR drift, or build a golden-value baseline for fleet attestation.","domain":"cybersecurity","path":"skills/validating-tpm-measured-boot-attestation"},{"name":"verifying-build-provenance-with-slsa-sigstore","description":"Verifies artifact signatures and SLSA provenance using Sigstore's cosign (verify, verify-attestation, verify-blob-attestation) and slsa-verifier (verify-artifact), enforcing keyless OIDC builder identity and source repo against SLSA Build levels. Use in CI/CD before deploying artifacts, when consuming third-party attestations, establishing a SLSA Build L3 pipeline, or confirming provenance during incident response or admission control.","domain":"cybersecurity","path":"skills/verifying-build-provenance-with-slsa-sigstore"}]} |