shannon
Shannon is an autonomous AI-powered penetration testing tool for web applications and APIs.
- Region
- Overseas
- Pricing
- Free
- Open source
- Yes
- GitHub Stars
- ★ 46.3k
- Source
- GitHub
- Added
- 2026-07-31
- Last verified
- 2026-07-31

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
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
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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