- Add validated mitre_attack frontmatter to all 754 skills (286 distinct
techniques), verified against MITRE ATT&CK v19.1 via the official
mitreattack-python library: 0 revoked, deprecated, or invalid IDs
- Curate precise per-skill technique IDs for forensics, malware-analysis,
threat-intel, and red-team skills (e.g. DCSync -> T1003.006,
Kerberoasting -> T1558.003, Pass-the-Ticket -> T1550.003)
- Reconcile v19.1 tactic restructuring: Defense Evasion split into
Stealth (TA0005) and Defense Impairment (TA0112); revoked T1562.*
family and T1070.001/.002 remapped to active equivalents (T1685.*)
- Normalize word-split tags across 35 skills (remove filename-derived
stopword tags, add semantic cybersecurity tags)
- Add api-reference.md for 3 skills that were missing it
- Update README ATT&CK section with accurate v19.1 tactic distribution
Simulate and detect software supply chain attacks including typosquatting detection via Levenshtein distance, dependency confusion testing against private registries, package hash verification with pip, and known vulnerability scanning with pip-audit.
cybersecurity
application-security
supply-chain
typosquatting
dependency-confusion
package-verification
pip-audit
PyPI
software-composition-analysis
1.0
mahipal
Apache-2.0
PR.PS-01
PR.PS-04
ID.RA-01
PR.DS-10
T1078
T1190
T1059
T1195
T1554
Performing Supply Chain Attack Simulation
Overview
Software supply chain attacks exploit trust in package registries through typosquatting (registering names similar to popular packages), dependency confusion (publishing higher-version public packages matching private names), and compromised package distribution. This skill detects these attack vectors by computing Levenshtein distance between package names and popular PyPI packages, verifying package integrity via SHA-256 hash comparison, scanning for known CVEs with pip-audit, and testing dependency resolution order for confusion vulnerabilities.
When to Use
When conducting security assessments that involve performing supply chain attack simulation
When following incident response procedures for related security events
When performing scheduled security testing or auditing activities
When validating security controls through hands-on testing
Legal Notice: This skill is for authorized security testing and educational purposes only. Unauthorized use against systems you do not own or have written permission to test is illegal and may violate computer fraud laws.
Key Detection Areas
Typosquatting — compare package names against top PyPI packages using edit distance thresholds
Dependency confusion — check if internal package names exist on public PyPI with higher version numbers
Hash verification — download packages and verify SHA-256 digests match published hashes
Vulnerability scanning — audit installed packages against OSV and PyPA advisory databases
Metadata anomalies — flag packages with suspicious author emails, missing homepages, or very recent first upload dates
Output
JSON report with risk scores per package, detected attack vectors, hash verification results, and CVE findings.
mukul975
cb8d79e068