AI-C2-Detection

Overview

AI-C2-Detection is an open-source Django-based Command & Control (C2) server with AI-driven anomaly detection to identify malicious traffic patterns. This project helps security professionals understand and mitigate threats posed by C2 frameworks.

Features

✅ Django-based C2 Server – Manage agents, send commands, and retrieve responses.
✅ Metasploit & Empire Integration – Control post-exploitation agents remotely.
✅ AI-Based Anomaly Detection – Uses machine learning to detect suspicious network traffic.
✅ REST API for Automation – Expose C2 functionality via API.
✅ Open Source & Extensible – Designed for cybersecurity research and defensive analysis.

Installation

1. Clone the Repository

git clone https://github.com/yourusername/AI-C2-Detection.git
cd AI-C2-Detection

2. Install Dependencies

pip install -r requirements.txt

3. Run the Django Server

python manage.py migrate
python manage.py runserver

4. Train the Anomaly Detection Model

python train_model.py

5. Test the API

curl -X POST http://127.0.0.1:8000/api/detect_anomalies/ \
     -H "Content-Type: application/json" \
     -d '{"tcp.len": 120, "tcp.flags": 2}'

Contribution

Want to contribute? Fork the repo, make improvements, and submit a pull request!

License

This project is licensed under the MIT License. Use responsibly for security research and defensive purposes only.