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TruffleHog

Secret scanning across Git history and cloud storage

TruffleHog by Truffle Security scans for high-entropy strings and secrets across GitHub history, S3 buckets, and other data stores with 26.7K+ GitHub stars. It goes beyond simple pattern matching by verifying whether discovered credentials are actually active and valid, significantly reducing false positives and helping teams prioritize remediation of truly exposed secrets.

About TruffleHog

TruffleHog performs deep secret scanning across multiple data sources including Git repositories with full commit history, Amazon S3 buckets, Docker images, filesystem paths, and various SaaS platforms. The tool uses a combination of high-entropy string detection and credential-specific detectors covering 800+ secret types from cloud providers, SaaS services, databases, and internal systems.

What sets TruffleHog apart from other secret scanners is its verification capability. When a potential secret is found, the tool attempts to validate whether the credential is actually active by making safe, read-only API calls to the relevant service. This dramatically reduces false positive rates and allows security teams to focus on secrets that represent real exposure rather than chasing expired or revoked credentials.

Maintained by Truffle Security with 26.7K+ GitHub stars and an active open-source community, TruffleHog is available as both a free CLI tool and an enterprise platform with additional features like continuous monitoring, team management, and compliance reporting. The tool is written in Go for performance and supports integration with CI/CD pipelines, pre-commit hooks, and scheduled scanning workflows.

Pricing & Platform Specs

Pricing Summary

Open-source CLI is 100% free under AGPL-3.0 with 800+ secret detectors, multi-source scanning (Git, S3, Docker, filesystems), and live credential verification for $0. TruffleHog Enterprise provides custom quote-based pricing for continuous multi-source monitoring across 20+ platforms (Jira, Confluence, Slack, Google Drive, GitHub/GitLab orgs), centralized web dashboard, automated remediation workflows, credential permission analysis, SAML SSO, RBAC, and dedicated enterprise support.

full pricing breakdown →

Supported Platforms

Git, S3, Docker, GitHub Actions, any CI/CD

Explore categories, tags & use cases

Open-source secret detection for Git repositories

Gitleaks is an open-source secret scanner with 27K+ GitHub stars that detects hardcoded passwords, API keys, tokens, and private keys in Git repositories, files, directories, and full Git history. It integrates via GitHub Actions, pre-commit hooks, CI/CD pipelines, and single-binary local scans.

Open Source

Developer-first security platform

Snyk is the leading developer security platform providing continuous scanning for vulnerabilities in code (SAST), open-source dependencies (SCA), container images, and infrastructure as code. Integrates directly into IDEs, Git repositories, CI/CD pipelines, and container registries. Features AI-powered fix suggestions, license compliance checking, and real-time vulnerability database. Free for individual developers with paid plans for teams. Supports 30+ programming languages.

freemium

Fast open-source SAST with custom rules

Semgrep is an AppSec platform with a widely used open-source engine for readable code rules plus commercial SAST, supply-chain and secrets workflows. Current product positioning emphasizes AI-assisted detection, triage and remediation, CI/pull-request integration and managed governance for security teams.

freemiumOpen Source

Side-by-Side Comparisons

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TruffleHog

Gitleaks vs TruffleHog: CI Secret Gate or Verified Credential Discovery?

Gitleaks and TruffleHog both scan for leaked secrets, but they fit different security workflows. Gitleaks is the faster default for repository and CI guardrails, while TruffleHog is stronger when verified credential discovery and broader incident-response sweeps matter more than lightweight adoption.

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Gitleaks vs TruffleHog vs Snyk — Secret Detection Comparison

Secret detection tools prevent hardcoded credentials from reaching production, with leaked secrets remaining a top breach vector. Gitleaks is the most adopted open-source secret scanner with over 25,000 GitHub stars, focused on speed as a pre-commit hook and CI tool. TruffleHog scans beyond git repos into Slack, S3, and Docker images while verifying if leaked credentials are still active. Snyk includes secret detection as part of its broader developer security platform.

GitleaksTruffleHogSnyk

Community experience

Sources & verification

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Content verified

Verification dates are editorial checks. Routine CMS saves and automatic updatedAt timestamps do not advance them.

FAQ

What is TruffleHog?

TruffleHog by Truffle Security scans for high-entropy strings and secrets across GitHub history, S3 buckets, and other data stores with 26.7K+ GitHub stars. It goes beyond simple pattern matching by verifying whether discovered credentials are actually active and valid, significantly reducing false positives and helping teams prioritize remediation of truly exposed secrets.

Is TruffleHog free?

TruffleHog offers a free tier alongside paid plans. Open-source CLI is 100% free under AGPL-3.0 with 800+ secret detectors, multi-source scanning (Git, S3, Docker, filesystems), and live credential verification for $0. TruffleHog Enterprise provides custom quote-based pricing for continuous multi-source monitoring across 20+ platforms (Jira, Confluence, Slack, Google Drive, GitHub/GitLab orgs), centralized web dashboard, automated remediation workflows, credential permission analysis, SAML SSO, RBAC, and dedicated enterprise support.

Is TruffleHog open source?

Yes — TruffleHog is open source.

Is TruffleHog still maintained?

Yes — TruffleHog is active. Its listing was last verified on September 6, 2026.

What are the best TruffleHog alternatives?

The first editor-selected TruffleHog alternatives are Gitleaks, Snyk, Semgrep.

How does TruffleHog score in our review?

The published editorial review lists TruffleHog at 86/100 overall across speed, privacy, and developer experience. Check the review's evidence status and test metadata for its verification level.