Bandit and CircleCI

Posted byischedioPosted inUncategorizedTags:, , , ,

How You Can Integrate Bandit with CircleCI

  1. CircleCI Job to Run Bandit
    • In your .circleci/config.yml, you can define a job that installs Bandit (pip install bandit) and then runs a scan across your Python codebase (e.g., bandit -r . -f json -o bandit-report.json).
    • This job can be part of your build or test workflow, so Bandit runs on every commit, PR, or merge.
  2. Handling Results
    • You can save the Bandit report as an artifact in CircleCI, allowing developers to review the JSON or HTML output later.
    • Optionally, you can fail the build if the scan finds issues above a certain threshold.
  3. Automation & Risk Management
    • Use CircleCI’s workflow orchestration to run Bandit scans in parallel with your tests.
    • Add logic in your pipeline to block deployment when critical vulnerabilities are discovered, or conditionally let it pass with warnings if you want to triage non-blocking issues first.
  4. Cross-Team Visibility
    • Use the CircleCI dashboard to track historical scan results.
    • Share findings via build summaries or integrate with tooling like Slack or email to alert your security or engineering teams.

Why It’s Valuable

  • Shift-Left Security: Running Bandit early in the pipeline catches security issues during development, not after deployment.
  • Automated Code Review: Bandit provides static application security testing (SAST), finding common Python vulnerabilities (e.g., insecure use of eval, weak cryptography, bad exception handling). Jit+2bandit.readthedocs.io+2
  • Consistency & Compliance: Automating security checks with Bandit ensures every commit is evaluated under the same security rules, helping with compliance and reducing human error.
  • Scalability: As your codebase grows, you don’t need to manually review every change — Bandit scales with your CI pipeline.

Things to Watch Out For / Trade-Offs

  • False Positives: Static scanners like Bandit may report some issues that aren’t real risks. You’ll need to tune configuration (e.g., via YAML config for Bandit) to suppress noise. bandit.readthedocs.io+2bandit.readthedocs.io+2
  • Performance: Running a full Bandit scan can add time to your CI build. You may want to run a partial scan on PRs and a full scan at merge.
  • CI Complexity: More security tooling means more maintenance of your CI config and possibly more failure modes to handle (e.g., gating, retry logic).
  • Integration Overhead: While Bandit itself doesn’t provide a CircleCI “orb,” there’s a community project (CICDToolbox/bandit) that explicitly supports CircleCI. GitHub

Example Snippet (Pseudo config.yml)

version: 2.1
jobs:
  security_scan:
    docker:
      - image: cimg/python:3.9
    steps:
      - checkout
      - run:
          name: Install Bandit
          command: pip install bandit
      - run:
          name: Run Bandit
          command: bandit -r . -f json -o bandit-report.json
      - store_artifacts:
          path: bandit-report.json

Summary

Yes, integrating Bandit into CircleCI is a valid and common security practice.

It helps embed security into your CI/CD workflow (shift-left), improves consistency, and scales with your codebase.

You should plan for performance, tune the rules, and decide how scan failures should block or warn in your pipeline.

Leave a comment