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shannon

Shannon is an autonomous AI-powered penetration testing tool for web applications and APIs.

🌍 OverseasFreeOpen sourceDev开源API安全测试
Platforms: APISelf-hosted
Region
Overseas
Pricing
Free
Open source
Yes
GitHub Stars
★ 46.3k
Source
GitHub
Added
2026-07-31
Last verified
2026-07-31
shannon

Overview

Shannon is an autonomous AI penetration testing tool developed by Keygraph, specifically designed for white-box security testing of web applications and APIs. It identifies potential attack vectors by analyzing source code and then executes actual attacks using browser automation and command-line tools to validate vulnerabilities. Only vulnerabilities with reproducible proof-of-concept steps are included in the final report. Shannon can be run on-demand, automatically performing penetration tests to help developers detect and fix security issues during every build or release.

Key features

  • Autonomous penetration testing
  • Combines source code analysis with real-time attacks
  • Generates reproducible vulnerability reports

Use cases

Web application security testingAPI security testingSecurity checks in continuous integration

Pros

  • Automated penetration testing
  • Provides detailed vulnerability reports
  • Supports multiple AI providers

Limitations / notes

  • Requires Docker and Node.js environment
  • May require configuration of AI provider credentials

Who it's for

DevelopersSecurity engineersEnterprise teams

This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.

FAQ

Is it free?

The open-source version of Shannon is free, but the commercial version may require payment.

Does it require internet access?

Yes, Shannon needs to be online to access services from AI providers.

Is Chinese supported?

Documentation and interface are primarily in English; there is no explicit Chinese support at this time.

Can it be used commercially?

The open-source version can be used commercially, but it's recommended to review the specific license terms.

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