Ai4eh

This repository contains the workshop guide, educational tools and scripts for learning how AI can be applied in offensive security.

🎯 Overview

The AI4EH workshop demonstrates some practical applications of AI in security, including:

• AI Reconnaissance - Generate contextual subdomain wordlists and automate target enumeration
• Intelligent Screenshot Analysis - Use neural networks and multimodal LLMs to classify web apps
• Smart Content Discovery - Create custom fuzzing wordlists based on application context
• Automated Exploit Generation - Explore nuclei AI template generation
• Hackbots - Play with CAI agents for vulnerability discovery
• MCP Integrations - Connect AI assistants to security tools like Burp Suite, Ghidra and more

🚀 Quick Start

Using Docker (Recommended)

1. Build the container:

   chmod +x build_image.sh
   ./build_image.sh
   

2. Run the environment:

   chmod +x run_image.sh
   ./run_image.sh
   

Or simply use the pre-built image:

docker run --rm -it --env-file env_file ethiack/ai4eh:latest

🛠️ Tools & Components

Core Scripts

• llm_screenshot_classifier.py - Multimodal AI for categorizing web application screenshots
• scrape.py - Web scraping with analysis
• nlp.py - NLP utility for keyword extraction and text analysis
• cai_custom_xss_tool_with_notify.py - AI agent example with a simple custom tool for notifications

Included Security Tools

The Docker environment includes popular tools:

• LLM - Access LLMs from the command-line
• Nuclei - Fast, customizable vulnerability scanner
• FFUF - Fast web fuzzer
• FFUFAI - AI-powered ffuf wrapper
• Subfinder - Fast passive subdomain enumeration tool
• HTTPx - Multi-purpose HTTP toolkit
• Notify - Assistance package for sending notifications
• EyeBaller - Convolutional neural network for analyzing pentest screenshots
• PureDNS - Fast domain resolver and subdomain bruteforcing tool

📋 Prerequisites

• Docker
• API keys for AI services (Google Gemini, OpenAI, etc.)
• Basic understanding of security concepts

⚙️ Configuration

Create an env_file with your API credentials:

OPENAI_API_KEY=your_openai_key_here
GEMINI_API_KEY=your_gemini_key_here
...

🎓 Educational Use Only

This content is designed for:

• ✅ Learning AI applications in offensive security
• ✅ Educational vulnerability research
• ✅ Authorized penetration testing
• ✅ CTF experiments

🤝 Contributing

This is an educational project. Feel free to:

• Report issues or bugs
• Suggest improvements to existing tools
• Share educational use cases

📄 License

Educational use - always respect responsible disclosure and ethical hacking principles.

Disclaimer: This content is intended for educational purposes and authorized security testing only. Users are responsible for ensuring compliance with applicable laws and regulations.