GhostSec - Professional Cybersecurity Learning Platform

GhostSec is a comprehensive cybersecurity learning and analysis platform designed for security professionals, researchers, and enthusiasts. It provides a GitHub-like collaborative environment focused entirely on cybersecurity education and research.

Features

Learning Platform

• Comprehensive Course System

  • Web Security
  • Network Security
  • Malware Analysis
  • Bug Bounty
  • Penetration Testing
  • Linux Security
  • Programming (Python, C/C++, C#, Assembly)
  • Digital Forensics

• Interactive Learning Environments

  • Isolated Practice Labs
  • CTF Challenges
  • Real-world Scenarios
  • Custom Tool Integration
  • Resource-controlled Sandboxes

Malware Analysis Platform

• Advanced Analysis Pipeline

  • Static Analysis
  • Dynamic Analysis
  • Network Traffic Analysis
  • Memory Analysis
  • YARA Rule Integration
  • Automated Report Generation

• Sandbox Features

  • Multiple Platform Support
  • Network Simulation
  • API Monitoring
  • Memory Dump Analysis
  • Custom Rules Engine

Professional Tools

• Development Environments

  • Language-specific Sandboxes
  • Integrated Development Tools
  • Version Control Integration
  • Code Review System

• Security Tools

  • Web Vulnerability Scanner
  • Network Analysis Tools
  • Reverse Engineering Tools
  • Forensics Toolkit

Installation

1. Clone the repository:

git clone https://github.com/yourusername/ghostsec.git
cd ghostsec

2. Create and activate virtual environment:

python -m venv venv
source venv/bin/activate  # Linux/Mac
venv\Scripts\activate     # Windows

3. Install dependencies:

pip install -r requirements.txt

4. Set up environment variables:

cp .env.example .env
# Edit .env with your settings

5. Initialize the database:

python manage.py migrate

6. Create superuser:

python manage.py createsuperuser

7. Start development server:

python manage.py runserver

Dependencies

• Python 3.10+
• Redis (for Channels and Celery)
• PostgreSQL (recommended for production)
• Additional system packages for malware analysis

Development Setup

1. Install Redis:

# Windows: Download from https://redis.io/download
# Linux:
sudo apt-get install redis-server

2. Start Celery worker:

celery -A ghostsec worker -l info

3. Start Celery beat (for scheduled tasks):

celery -A ghostsec beat -l info

Production Deployment

1. Set up production environment:

python manage.py check --deploy

2. Configure settings:

• Update ALLOWED_HOSTS
• Set DEBUG = False
• Configure secure SSL/TLS
• Set up proper database (PostgreSQL recommended)

3. Collect static files:

python manage.py collectstatic

4. Use gunicorn for deployment:

gunicorn ghostsec.wsgi:application

Security Considerations

• All uploaded malware samples are handled in isolated environments
• Strict access controls and permissions system
• Regular security audits and updates
• Comprehensive logging and monitoring
• SSL/TLS encryption enforced
• CSRF and XSS protection enabled
• Content Security Policy implemented

Contributing

1. Fork the repository
2. Create your feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

License

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

Support

For support, please open an issue in the GitHub repository or contact the maintainers.

Acknowledgments

• Thanks to all contributors and the cybersecurity community
• Built with Django and modern security tools
• Inspired by the need for professional-grade security training