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  3. Rogue
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Rogue

Automated web vulnerability scanning with LLM agents.

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Introduction

Rogue 🎯

Rogue is an advanced AI security testing agent that leverages Large Language Models (LLMs) to intelligently discover and validate web application vulnerabilities. Unlike traditional scanners, Rogue thinks like a human penetration tester, analyzing application behavior, generating sophisticated test cases, and validating findings through autonomous decision making.

Key Features
  • Intelligent Vulnerability Discovery: Uses LLMs (OpenAI and Anthropic Claude) to understand application context and identify potential security weaknesses.
  • Advanced Payload Generation: Creates sophisticated test payloads tailored to the target application.
  • Context-Aware Testing: Analyzes application behavior and responses to guide testing strategy.
  • Automated Exploit Verification: Validates findings to eliminate false positives.
  • Comprehensive Reporting: Generates detailed vulnerability reports with reproduction steps.
  • Traffic Monitoring: Built-in proxy captures and analyzes all web traffic.
Benefits
  • Expandable scope for recursive testing of discovered URLs.
  • Modular architecture consisting of multiple key components such as Agent, Planner, Scanner, Proxy, and Reporter.
  • Support for both OpenAI and Anthropic Claude models with provider-specific optimizations.
Highlights
  • Designed for security professionals and researchers.
  • Open source contributions are welcome. Always obtain proper authorization before testing any systems you don't own.
Back

Information

  • Publisher
    AISecKit
  • Websitegithub.com
  • Published date2025/04/28

Categories

  • DevSecOps Tools
  • Penetration Testing
  • Vulnerability Scanners

Tags

  • Exploit Development
  • Open Source
  • LLM
  • Claude
  • Vulnerability Scanning
  • Penetration Testing

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