GitHub Security Advisories Verification Results #

This document summarizes sisakulint’s detection capability against all 38 GitHub Security Advisories for the GitHub Actions ecosystem.

Summary #

Detection Categories #

Detection Results #

Code Injection Vulnerabilities #

Command Injection Vulnerabilities #

Secret/Token Exposure Vulnerabilities #

Argument/Expression Injection Vulnerabilities #

Supply Chain / Artifact Poisoning Vulnerabilities #

Miscellaneous Vulnerabilities #

Non-Detection Categories #

Key Findings #

1. High Detection Rate: sisakulint successfully detects 81.6% of all GitHub Actions advisories.

2. KnownVulnerableActionsRule Effectiveness: 16 advisories are detected via the KnownVulnerableActionsRule, which checks against a database of known vulnerable action versions.

3. Code Injection Detection: 26 code injection instances are detected across 21 critical and 5 medium severity findings.

4. Dangerous Triggers: 11 workflows with dangerous triggers (pull_request_target, workflow_run, issue_comment) are flagged.

5. Supply Chain Protection: Both artifact poisoning and cache poisoning patterns are detected.

Recommendations for sisakulint Improvement #

1. Container Environment Variables: Consider adding detection for untrusted input in container.env context (GHSA-2c6m-6gqh-6qg3).

2. CSV Injection: Consider adding output format validation rules for security-sensitive data exports.

3. Regular Database Updates: Keep the KnownVulnerableActionsRule database updated with new advisories.

Running Verification #

# Build sisakulint
go build ./cmd/sisakulint

# Run on all vulnerable patterns
sisakulint script/actions/advisory/*-vulnerable.yaml

# Run on safe patterns (should have minimal security warnings)
sisakulint script/actions/advisory/*-safe.yaml

References #

• GitHub Security Advisories (Actions)
• sisakulint Documentation
• OWASP Top 10 CI/CD Security Risks