shannon — What is it?

Shannon Lite is an autonomous, white-box AI pentester for web applications and APIs, analyzing source code and executing real exploits to identify and prove vulnerabilities.

⭐ 43,592 Stars 🍴 5,015 Forks TypeScript AGPL-3.0 Author: KeygraphHQ
Source: Description per README View on GitHub →

Why it matters

Shannon is gaining attention due to its unique approach of combining source code analysis with live exploitation, addressing the gap in continuous security testing during the software development lifecycle. Its autonomous operation and reproducible proof-of-concept exploits are distinctive technical choices that stand out.

Source: Synthesis of README and project traits

Core Features

Fully Autonomous Operation

Shannon operates without manual intervention, handling 2FA/TOTP logins, browser navigation, exploitation, and report generation automatically.

Source: Features per README
Reproducible Proof-of-Concept Exploits

The final report includes only proven, exploitable findings with copy-and-paste PoCs, ensuring practical vulnerability validation.

Source: Features per README
OWASP Vulnerability Coverage

Shannon identifies and validates common web application vulnerabilities such as Injection, XSS, SSRF, and Broken Authentication/Authorization.

Source: Features per README
Code-Aware Dynamic Testing

The tool analyzes source code to guide attack strategies and validates findings with live browser and CLI-based exploits.

Source: Features per README
Parallel Processing

Vulnerability analysis and exploitation phases run concurrently across all attack categories for efficiency.

Source: Features per README

Architecture

The architecture is inferred to be modular, with a clear separation of concerns. It likely employs design patterns such as Dependency Injection and Command Pattern. Key technical decisions include the use of a Code Property Graph for static analysis and a multi-agent system for dynamic testing.

Source: Code tree + dependency files

Project Knowledge Graph

Knowledge graph: project (center) + core features (inner hexagons) + key dependencies (outer chips) @biomejs/biome @types/node turbo typescript protobufjs Fully Autonomous OperationFully Autonomous Op… Reproducible Proof-of-Concept ExploitsReproducible Proof-… OWASP Vulnerability CoverageOWASP Vulnerability… Code-Aware Dynamic TestingCode-Aware Dynamic… Parallel Processing shannon Project Core feature Key dependency

Center: project; inner ring: core feature modules; outer ring: key dependencies. Auto-generated from core_features and tech_stack.key_deps.

Tech Stack

LanguageTypeScriptFrameworkNot enough information
@biomejs/biome@types/nodeturbotypescriptprotobufjs
Docker, Node.js, pnpm
Source: Dependency files + code tree

Quick Start

Install Docker, Node.js 18+, and pnpm. Clone the repository, build the project with `pnpm install && pnpm build`, and run with `npx shannon`. Additional setup includes preparing your repository and configuring credentials.
Source: README Installation/Quick Start

Use Cases

Shannon is suitable for organizations that require automated, continuous security testing of web applications and APIs. It is useful in scenarios where developers need to ensure that vulnerabilities are identified and mitigated before production release.

Source: README

Strengths & Limitations

Strengths

  • Strength 1: Provides automated, continuous security testing.
  • Strength 2: Offers reproducible proof-of-concept exploits for practical validation.
  • Strength 3: Supports white-box testing with access to source code.

Limitations

  • Limitation 1: Limited to white-box testing, requiring source code access.
  • Limitation 2: May require significant setup and configuration.
Source: Synthesis of README, code structure and dependencies

Latest Release

v1.2.0 (2026-05-06): Patched protobufjs to 7.5.5 for C vulnerability fix. v1.1.0 (2026-04-21): Surfaces Docker errors and adds debugging options. v1.0.0 (2026-03-26): Initial release.

Source: GitHub Releases

Verdict

Shannon is a promising project for organizations seeking advanced automated security testing. Its unique combination of source code analysis and live exploitation makes it a valuable tool for ensuring application security, particularly for those with access to source code and a need for continuous testing.

Transparency Notice
This page is auto-generated by AI (a large language model) from the following public materials: GitHub README, code tree, dependency files and release notes. Analyzed at: 2026-05-23 19:59. Quality score: 85/100.

Data sources: README, GitHub API, dependency files