ai4eh  by ethiack

AI-driven toolkit for ethical hacking and offensive security

Created 8 months ago
274 stars

Top 94.6% on SourcePulse

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Project Summary

AI for Ethical Hacking (ethiack/ai4eh) is a workshop repository providing educational tools and scripts that demonstrate practical applications of Artificial Intelligence in offensive security. It targets security professionals, researchers, and students aiming to learn how AI can enhance tasks such as reconnaissance, vulnerability discovery, and exploit generation. The project offers hands-on experience with AI-driven security methodologies.

How It Works

The project showcases AI integration across several offensive security domains. It employs AI for reconnaissance by generating contextual subdomain wordlists and automating target enumeration. Intelligent Screenshot Analysis utilizes neural networks and multimodal LLMs for classifying web application screenshots. Smart Content Discovery creates custom fuzzing wordlists based on application context, while Automated Exploit Generation explores AI-assisted Nuclei template creation. Additionally, it features Hackbots for vulnerability discovery via conversational AI agents and integrates AI assistants with security tools like Burp Suite and Ghidra.

Quick Start & Requirements

  • Primary install / run command: Docker is recommended. Build the container using ./build_image.sh and run it with ./run_image.sh. Alternatively, use the pre-built image: docker run --rm -it --env-file env_file ethiack/ai4eh:latest.
  • Non-default prerequisites and dependencies: Docker, API keys for AI services (e.g., Google Gemini, OpenAI), and a basic understanding of security concepts are required.
  • Estimated setup time or resource footprint: Not explicitly detailed, but Docker implies a self-contained environment.
  • Links: No external quick-start, docs, or demo links are provided beyond the repository itself.

Highlighted Details

  • AI Reconnaissance: Automates subdomain enumeration and contextual wordlist generation.
  • Intelligent Screenshot Analysis: Leverages multimodal LLMs and CNNs for web app classification.
  • Smart Content Discovery: Generates context-aware fuzzing wordlists.
  • Automated Exploit Generation: Facilitates AI-driven Nuclei template creation.
  • Hackbots: Employs conversational AI agents for vulnerability discovery.
  • MCP Integrations: Connects AI assistants to security tools like Burp Suite and Ghidra.

Maintenance & Community

This is an educational project, and contributions such as reporting issues, suggesting improvements, and sharing educational use cases are welcomed. No specific community channels (e.g., Discord, Slack) or notable contributors/sponsorships are listed.

Licensing & Compatibility

The project is intended for "Educational use" and emphasizes responsible disclosure and ethical hacking principles. It is designed for authorized penetration testing and CTF experiments. Compatibility for commercial use or linking with closed-source projects is not specified, and the educational focus suggests potential limitations.

Limitations & Caveats

The repository requires users to provide their own API keys for various AI services, which may incur costs. Its content is strictly for educational purposes and authorized security testing, prohibiting unauthorized activities. The project's primary goal is learning and exploration rather than providing production-ready security solutions.

Health Check
Last Commit

2 months ago

Responsiveness

Inactive

Pull Requests (30d)
0
Issues (30d)
0
Star History
27 stars in the last 30 days

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