secrets-detection-rules

Detect exposed API keys by applying regex pattern matching and entropy analysis to identify sensitive credentials within source code. This approach uses predefined rule sets for providers like AWS and GitHub to catch hardcoded secrets.

Entropy analysis detects potential secrets by measuring string randomness, catching unknown credentials that static regex rules miss. Use it when scanning source code for unstructured or dynamically generated API keys and tokens.

Scan for secrets in a CI/CD pipeline by integrating detection rules into GitHub Actions and pre-commit hooks. This automatically checks source code for exposed credentials before changes merge into the main branch.

Reduce false positives during secrets detection by applying whitelisting and path exclusion mechanisms. Configuring these rules ensures the scanner ignores known safe strings and specific directories during CI/CD integration.

Yes, secrets detection works with pre-commit hooks to evaluate source code locally before commits are made. This CI/CD integration prevents sensitive API keys and tokens from ever entering the remote repository.