secret-scanner

To scan for committed secrets, you can run a comprehensive repository scan that employs regex-based pattern detection and entropy analysis. This process identifies exposed cloud credentials, API keys, and database passwords, generating detailed reports with remediation steps.

Entropy analysis detects exposed API keys by measuring the randomness of string characters in source code. High entropy often indicates a complex, randomly generated secret rather than standard code, helping identify unrecognized credentials alongside known regex patterns.

Yes, you can check the entire git history for leaked database passwords and private keys. The scanning process supports historical git history checks to uncover sensitive information committed in previous versions, ensuring comprehensive exposure assessment.

Contextual analysis differentiates real cloud credentials from example API keys during code scanning. By examining the surrounding code and context, the scanner assesses whether a detected secret is an active credential or a placeholder, classifying severity and impact accordingly.

The best way to remove sensitive information before pushing is to run an automated secret scan that identifies exposed credentials. It provides detailed reports with specific remediation steps, allowing you to mitigate security risks and prevent data breaches before deployment.