Audit GitHub Actions workflows and CI/CD configurations for supply chain risks. Use Python and YAML parsing to identify unpinned actions, unsafe event expressions, excessive permissions, dependency confusion, and potential exposure of secrets in build pipelines.
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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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:
# 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]}")
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