Detecting supply chain attacks in ci cd
Skill autohandai/community-skills/detecting-supply-chain-attacks-in-ci-cd
A collection of curated, useful, and safe skills for Autohand Code CLI Agent
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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.
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SKILL.md
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Detecting Supply Chain Attacks in CI/CD
Instructions
Scan CI/CD workflow files for supply chain risks by parsing GitHub Actions YAML, checking for unpinned dependencies, script injection vectors, and secrets exposure.
import yaml
from pathlib import Path
for wf in Path(".github/workflows").glob("*.yml"):
with open(wf) as f:
workflow = yaml.safe_load(f)
for job_name, job in workflow.get("jobs", {}).items():
for step in job.get("steps", []):
uses = step.get("uses", "")
if uses and "@" in uses and not uses.split("@")[1].startswith("sha"):
print(f"Unpinned action: {uses} in {wf.name}")
Key supply chain risks:
- Unpinned GitHub Actions (using @main instead of SHA)
- Script injection via ${{ github.event }} expressions
- Overly permissive GITHUB_TOKEN permissions
- Third-party actions with write access to repo
- Dependency confusion via public/private package name collision
Examples
# Check for script injection in run steps
for step in job.get("steps", []):
run_cmd = step.get("run", "")
if "${{" in run_cmd and "github.event" in run_cmd:
print(f"Script injection risk: {run_cmd[:80]}")