sc-secrets

Detect hardcoded secrets by scanning source code, configuration files, and environment files using pattern matching for known key formats and entropy analysis for unknown values. This process identifies API keys, tokens, and private keys embedded across multiple languages during development and code review.

Scanning for unknown API keys relies on high-entropy string detection and private-key recognition rather than predefined formats alone. Entropy analysis evaluates string randomness to catch undocumented credentials, while context checks distinguish actual production secrets from test placeholders.

Secret detection differentiates test keys from production credentials by applying context checks alongside pattern matching. It evaluates the surrounding code structure to distinguish placeholder values from live secrets, ensuring accurate security reviews without false positives on mock data.

Static analysis for hardcoded secrets works across multiple languages and file types by scanning repositories, configuration files, and environment files. It applies pattern matching and entropy analysis universally to detect exposed credentials regardless of the underlying programming language.

Integrate secret detection into CI pipelines and code reviews by scanning repositories during automated development workflows. This surfaces hardcoded secrets and private keys before deployment, providing remediation guidance to remove credentials from configuration and environment files.

Remediation guidance directs developers to remove identified hardcoded secrets from source code and configuration files. It distinguishes production secrets from test values, helping teams securely manage credentials and patch exposed API keys or tokens found during repository scans.