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https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git
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Demand-driven expansion targeting the fastest-growing 2025-2026 threat and
skills categories (ISC2/WEF/CrowdStrike/Mandiant signals):
- AI Security (NEW domain, 12 skills): LLM red-teaming with garak/PyRIT,
prompt injection (direct/indirect/RAG), MCP tool-poisoning, agentic tool
invocation, guardrails, model/data poisoning, system-prompt leakage,
embedding/vector weaknesses, model extraction, continuous red-teaming
- Supply Chain Security (NEW domain, 5 skills): SBOMs, dependency confusion,
malicious-npm triage, typosquatting, SLSA/Sigstore provenance
- Hardware & Firmware Security (NEW domain, 4 skills): CHIPSEC/UEFI audit,
Secure Boot bypass, TPM measured-boot attestation, ESP bootkit hunting
- Identity (10): Entra ID/ROADtools, GraphRunner, AADInternals, ADCS/Certipy,
shadow credentials, coercion, BloodHound CE, device-code phishing, SSO abuse
- Cloud-native (8): Stratus, Pacu, CloudFox, container escape, K8s RBAC,
Falco, Trivy, kube-bench
- Offensive C2 (6): Sliver, Havoc, NetExec, DPAPI, NTLM relay ESC8, redirectors
- DFIR (6): Hayabusa, Chainsaw, KAPE, Velociraptor, EZ Tools, Plaso
- Backfill (4): OpenCTI, MISP, honeytokens, post-quantum crypto migration
Each skill follows the repo taxonomy (SKILL.md + references/{standards,api-reference}.md
+ scripts/agent.py + LICENSE), with researched real tool commands (no placeholders),
complete frontmatter, and ATT&CK/ATLAS + NIST CSF mappings. Updates README domain
table, skill count, and index.json.
1.5 KiB
1.5 KiB
Standards and Framework Mapping
MITRE ATT&CK
| ID | Name | Rationale |
|---|---|---|
| T1589 | Gather Victim Identity Information | Feeds catalog adversary reconnaissance/identity indicators; operationalizing them detects and contextualizes such activity. |
| T1071.001 | Application Layer Protocol: Web Protocols | C2 domain/URL IOCs become Suricata/Sigma web detections. |
| T1071.004 | Application Layer Protocol: DNS | Malicious-domain IOCs drive DNS-based Wazuh/Suricata detection. |
| T1105 | Ingress Tool Transfer | File-hash IOCs detect known malicious payload delivery. |
NIST Cybersecurity Framework 2.0
| ID | Name | Rationale |
|---|---|---|
| ID.RA-02 | Cyber threat intelligence is received from information sharing forums and sources | MISP feed curation, caching, and operationalization is the direct implementation of receiving and applying shared cyber threat intelligence. |
Supporting Standards and References
- Traffic Light Protocol (TLP 2.0). Governs how ingested/shared intelligence may be redistributed; enforced via MISP taxonomies.
- STIX 2.1 / TAXII 2.1. Interoperable representation/transport of CTI that MISP can import/export.
- NIST SP 800-150 — Guide to Cyber Threat Information Sharing. Frames the feed-ingestion and sharing lifecycle this skill operationalizes.
- SigmaHQ specification. Detection rule format generated from MISP attributes.
- MISP automation & REST return formats: https://www.circl.lu/doc/misp/automation/
- PyMISP documentation: https://pymisp.readthedocs.io/