Semgrep Secrets

Go beyond regex: leverage Semantic Analysis, entropy analysis, and validation to accurately detect and fix secrets.

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Detect secrets with high precision

  • Leverage Semgrep’s data flow engine to understand what credentials exist and how they are being used (Semantic Analysis)

  • Prioritize valid credentials and reduce false positives using Semgrep’s post-processor

  • Detect secrets that are specific to your internal services by writing custom rules

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Prevent secrets leaks early in development

  • Warn developers about secrets in their editor or code review workflows

  • Use pre-commit hooks to prevent secrets from being committed to Git repositories

  • Leverage semantic analysis to reduce alert fatigue and minimize false positives

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How it works

Semgrep Secrets uses OSS + Pro Engines to find secrets specific to your code.

Detect

Semgrep Secrets can scan thousands of lines of code and look for hardcoded secrets, API keys, and other sensitive data in a few minutes using Semantic Analysis, entropy analysis, and regex.

Validate

Semgrep sends a request to the corresponding service (e.g., AWS, Slack, or GitHub) to determine if the token is still valid. This happens locally within your infrastructure; we don’t send the secret to Semgrep’s servers.

Fix

Validated secrets are surfaced to developers in their workflow as PR comments so that developers can fix them as soon as possible.

Single pane of glass for security issues

  • Find and remediate security issues in your code, software supply chain, and secrets using one platform

  • Get consistently high-quality findings across all products since they leverage the same underlying (Pro + OSS) Engines

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Protect your code with secure guardrails

Figmates get actionable security feedback in their PRs, while rule analytics give the security team feedback on the effectiveness of our rules. The simple syntax lets us extend Semgrep to catch new patterns, going from idea to live in an hour.

Dev Ahkawe Dev Ahkawex