code-safety-audit

To scan a codebase for leaked secrets and vulnerable dependencies, run the scanner on a project directory to detect risky package manifests, embedded keys, and insecure patterns, generating a safety report.

Entropy analysis in secret detection identifies high-randomness strings in source files that likely represent leaked API keys or tokens, complementing standard regex pattern matching to uncover hidden secrets.

Yes, the static analysis tool supports Python and Node.js projects by analyzing package manifests and source files, and it can be extended to other languages for comprehensive code security auditing.

Yes, you can output security audit results to JSON or stdout, enabling seamless integration into CI/CD pipelines to automate code safety checks before deployment.

The scanner detects OWASP anti-patterns by analyzing source files and configuration against built-in rules for common insecure coding practices, reducing manual audit effort and exposure risks.

The best way to automate code security auditing before deployment is running a scanner that checks for vulnerable dependencies, leaked keys, and OWASP anti-patterns, outputting a safety report to stdout or JSON.