README.md

metadata

license: mit
sdk: docker
emoji: 🚀
colorFrom: red
colorTo: green
pinned: true
thumbnail: >-
  https://cdn-uploads.huggingface.co/production/uploads/670eca1fff5c46c7f23c32cd/LYKAb16YcsterJNlegp7j.png
short_description: Advanced Automated Cybersecurity Framewor

Project Red Sword: Cybersecurity Framework

Project Red Sword is an advanced cybersecurity framework designed to address and mitigate modern cyber threats. It integrates a wide variety of security tools, including advanced attack strategies, threat intelligence sources, and AI-driven techniques for proactive defense and post-exploitation. This repository aims to provide cutting-edge techniques, automation, and integrations for both offensive and defensive cybersecurity tasks.

Project Overview

The Red Sword framework combines powerful cybersecurity tools and techniques into a single integrated platform. Some of the features include:

• AI-driven attack simulations and threat detection.
• A wide range of post-exploitation modules.
• Real-time attack and exploit automation.
• AI-powered fuzzing, exploit generation, and vulnerability scanning.
• Integration with major intelligence and FOIA sources.
• Full integration with tools like Sn1per, Empire, and custom modules for advanced penetration testing.

Setup

This framework requires Python 3.8+ and the following dependencies. It can be deployed easily in Hugging Face Spaces or similar environments.

Install Requirements

You can install the necessary requirements using the provided requirements.txt file.

pip install -r requirements.txt

Environment Variables

Some modules may require environment-specific credentials. You can set them up by creating a .env file or exporting them directly to your environment.

Example:

OPENAI_API_KEY=your-openai-api-key
HUGGINGFACE_API_KEY=your-huggingface-api-key

Deploying on Hugging Face Spaces

This project is designed to be deployed within Hugging Face Spaces, providing a seamless platform for model integration and AI-powered attack simulations.

1. Clone the repository:

   git clone https://huggingface.co/spaces/your-username/project-red-sword
   cd project-red-sword
   

2. Run the Space:

   After cloning, you can launch the project directly using the Hugging Face Space interface.

Features and Modules

The framework includes a wide array of functionalities:

1. AI-Driven Attack and Defense: Integrates with OpenAI and custom models for AI-powered cybersecurity operations.
2. Real-Time Threat Detection and Evasion: Implements automated detection and evasion strategies.
3. Post-Exploitation Modules: Includes advanced tools like keylogging, data exfiltration, and system persistence.
4. Web Scraping and Reconnaissance: Collects intelligence from public repositories and sources like FOIA.
5. Penetration Testing Modules: Integrates with Sn1per, Metasploit, and other tools for comprehensive testing.

Key Modules:

• AI Model Integrations: For attack prediction and threat intelligence.
• Post-Exploitation: Keylogging, privilege escalation, system persistence.
• Exploit Discovery: Zero-day and zero-click exploit generation.
• Custom Tools: Including a custom script generator for Hak5 devices and other third-party platforms.

Example Usage

# Example of using a custom exploit generation module
from red_sword.modules.exploits import exploit_generator

# Generate a custom exploit for a vulnerability
exploit_code = exploit_generator(target='target_system')
print(exploit_code)

Testing

The framework includes various tests, both unit and integration, to ensure everything works smoothly.

To run tests, you can use:

pytest

This will run all available tests in the tests directory and check for any issues.

Contributing

We welcome contributions to Project Red Sword. If you'd like to contribute, please follow these steps:

1. Fork the repository.
2. Clone your fork locally.
3. Create a new branch.
4. Make your changes and commit them.
5. Push your changes to your fork.
6. Open a pull request with a description of the changes you've made.

License

This project is licensed under the MIT License - see the LICENSE file for details.

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Deployment

You can deploy this framework to Hugging Face Spaces by following the Hugging Face documentation and deploying the Space via the Hugging Face platform.

1. Go to Hugging Face Spaces.
2. Click on Create New Space.
3. Choose your preferred environment and language.
4. Upload the repository files.
5. Run and test the framework.

Security Considerations

This framework contains advanced attack and penetration testing features, including exploit generation and post-exploitation modules. It should only be used in controlled environments for ethical and legal testing purposes. Always ensure compliance with local laws and regulations regarding cybersecurity.

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References:

• OpenAI API: https://beta.openai.com/docs
• Hugging Face Spaces: https://huggingface.co/spaces
• Project Red Sword: This framework is a continuation of best practices in cybersecurity, focusing on automation, AI integration, and exploit management.

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If you encounter any issues or need further support, please open an issue on the GitHub repository or reach out to us via the Hugging Face Space contact form.

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Explanation:

• Setup: Instructions to set up the environment and install dependencies.
• Deployment on Hugging Face: A specific guide for deploying the framework on Hugging Face Spaces, a popular platform for ML projects.
• Modules and Features: Overview of the key capabilities, including AI-powered defense, post-exploitation, and exploit generation.
• Testing: Instructions for running tests to validate the framework.
• Security Considerations: Warning about the responsible usage of the framework, given its offensive capabilities.