Open-source alternatives to Git Wild Hunt

Using a pre-commit hook, Talisman validates the outgoing changeset for things that look suspicious — such as tokens, passwords, and private keys.

Fast GitHub recon tool. Scans for leaked secrets across all of GitHub, not just known repos and orgs. Support for GitHub dorks.

Trufflehog is a security tool designed to continuously monitor code repositories and cloud environments to detect, verify, and remediate exposed sensitive credentials and API keys. It functions as a comprehensive secret scanning engine that integrates directly into deployment pipelines and version control systems to intercept sensitive data before it is committed or pushed. By utilizing read-only operations and volatile memory processing, the system ensures that discovered credentials are never stored persistently, maintaining strict data privacy throughout the scanning lifecycle. The platfor

Use SQL to instantly query secrets and more from source code. Open source CLI. No DB required.

detect-secrets is a modular secret scanning tool that identifies hard-coded credentials and sensitive information in source code. It combines multiple detection strategies—regular expression pattern matching, Shannon entropy calculation, and a machine learning classifier—to find potential secrets, and uses a baseline-driven delta analysis to distinguish newly introduced secrets from pre-existing ones, reducing noise from legacy credentials. The tool integrates directly into development workflows through a git pre-commit hook that blocks commits introducing unbaselined secrets, and can be inco

Gitleaks is a static analysis security tool and secret detection engine designed to find hardcoded passwords, API keys, and authentication tokens. It functions as a Git secret scanner that analyzes both local file systems and Git commit history to prevent credential leaks. The tool distinguishes itself through a decoding pipeline that transforms base64 and hex strings into plaintext to find obfuscated secrets. It further reduces false positives using proximity-based validation and fingerprint-based suppression to filter out known or baseline findings. The system covers a broad range of detec