performing-supply-chain-attack-simulation

# 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 ## Prerequisites - Python 3.9+ with `pip-audit`, `Levenshtein`, `requests` - Access to PyPI JSON API (https://pypi.org/pypi/{package}/json) - Network access for package metadata retrieval > **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 1. **Typosquatting** — compare package names against top PyPI packages using edit distance thresholds 2. **Dependency confusion...