🤖 Metasploit-AI Framework

Advanced AI-Powered Penetration Testing and Cybersecurity Framework

🚀 Overview

Metasploit-AI is a cutting-edge cybersecurity framework that combines the power of Metasploit with advanced artificial intelligence and machine learning capabilities. Designed for cybersecurity professionals, ethical hackers, and penetration testers, this framework automates and enhances traditional penetration testing workflows with intelligent vulnerability assessment, exploit recommendation, and payload optimization.

Created by Yashab Alam, Founder & CEO of ZehraSec

✨ Features

🧠 AI-Powered Core

Intelligent Vulnerability Analysis: Machine learning models for vulnerability classification and risk assessment
Smart Exploit Recommendation: AI-driven exploit selection based on target characteristics
Adaptive Payload Generation: Dynamic payload creation and optimization using neural networks
Automated Evasion: AI-based techniques to evade detection systems

🔍 Advanced Scanning

Multi-threaded Network Scanning: Fast and comprehensive network reconnaissance
Service Enumeration: Detailed service detection and version identification
OS Fingerprinting: Advanced operating system detection
Stealth Scanning: Evasive scanning techniques to avoid detection

💥 Intelligent Exploitation

Automated Exploit Execution: Smart exploit chaining and execution
Success Probability Prediction: ML-based exploit success rate estimation
Session Management: Advanced post-exploitation session handling
Real-time Monitoring: Live exploitation status and progress tracking

🌐 Multi-Interface Support

Web Interface: Modern, responsive web dashboard with Bootstrap 5
Desktop GUI: CustomTkinter-based desktop application with dark theme
CLI Interface: Rich command-line interface with syntax highlighting and auto-completion
REST API: Comprehensive API endpoints for integration and automation
Real-time Updates: WebSocket support for live updates across all interfaces

📊 Comprehensive Reporting

Automated Report Generation: AI-enhanced penetration testing reports
Risk Assessment: Intelligent risk scoring and prioritization
Compliance Mapping: NIST, OWASP, and other framework alignment
Executive Summaries: Business-focused security summaries

🛠️ Installation

Prerequisites

Python 3.8+
Metasploit Framework
Operating System: Linux (Kali Linux recommended), macOS, or Windows WSL

Quick Install

# Clone the repository
git clone https://github.com/yashab-cyber/metasploit-ai.git
cd metasploit-ai

# Run the setup script
python setup.py

# Install dependencies
pip install -r requirements.txt

# Initialize the framework
python app.py --mode web

Docker Installation

# Build the Docker image
docker build -t metasploit-ai .

# Run the container
docker run -d -p 8080:8080 --name msf-ai metasploit-ai

Advanced Installation

For detailed installation instructions, including Metasploit setup and configuration, see the Installation Guide.

🚀 Quick Start

Interface Selection

The framework supports multiple interfaces to suit different use cases:

Interface	Best For	Command
🖥️ CLI	Automation, scripting, remote access	`python app.py --mode cli`
🌐 Web	Team collaboration, remote access	`python app.py --mode web`
🖱️ GUI	Desktop users, visual workflow	`python app.py --mode gui`

1. Web Interface (Recommended for Teams)

# Start the web interface
python app.py --mode web --host 0.0.0.0 --port 8080

# Open your browser to http://localhost:8080
# Default credentials: admin/admin

Features:

Modern Bootstrap 5 dashboard
Real-time updates via WebSocket
Multi-user session management
Responsive design for mobile/tablet
Comprehensive API endpoints

2. Desktop GUI Interface (Recommended for Desktop Users)

# Install GUI dependencies
pip install customtkinter pillow

# Start the desktop GUI
python app.py --mode gui

Features:

Modern dark-themed interface with CustomTkinter
Native desktop integration
Real-time scanning and exploitation
AI-powered recommendations and analysis
Interactive session management
Comprehensive reporting tools
Drag-and-drop target import

3. Command Line Interface (Default - Recommended for Automation)

# Start the CLI
python app.py --mode cli

# Basic commands
msf-ai> status                    # Check framework status
msf-ai> scan 192.168.1.0/24      # Scan network
msf-ai> recommend                 # Get exploit recommendations
msf-ai> exploit 1                 # Execute recommended exploit
msf-ai> sessions list             # List active sessions

4. API Usage (Coming Soon)

# API mode will be available in future releases
# Currently available through web interface endpoints
python app.py --mode web --port 8080

# Example API calls
curl -X POST http://localhost:8080/api/scan \
  -H "Content-Type: application/json" \
  -d '{"target": "192.168.1.100", "scan_type": "comprehensive"}'

📖 Usage Examples

Automated Penetration Testing

# Python API example
from src.core.framework import MetasploitAIFramework
from src.core.config import Config

# Initialize framework
config = Config.load_config()
framework = MetasploitAIFramework(config)
await framework.initialize()

# Run automated penetration test
targets = ["192.168.1.100", "192.168.1.101"]
results = await framework.automated_penetration_test(targets)

# Generate report
report = await framework.report_generator.generate_pentest_report(results)

Custom Vulnerability Analysis

# Advanced vulnerability analysis
scan_result = await framework.scan_target("192.168.1.100", "comprehensive")
vulnerabilities = await framework.vuln_analyzer.analyze(scan_result)

# Get AI recommendations
recommendations = await framework.recommend_exploits("192.168.1.100", vulnerabilities)

# Execute top recommendation
if recommendations:
    result = await framework.execute_exploit(
        "192.168.1.100", 
        recommendations[0]['exploit_name']
    )

🔧 Configuration

Basic Configuration

Edit config/default.yaml:

framework:
  name: "Metasploit-AI"
  version: "1.0.0"
  debug: false

metasploit:
  host: "127.0.0.1"
  port: 55553
  username: "msf"
  password: "msf"

ai:
  enabled: true
  models_path: "data/models"
  openai_api_key: "your-openai-key"

security:
  api_key_required: true
  rate_limit: 100
  max_concurrent_scans: 5

Advanced Configuration

For advanced configuration options, see the Configuration Guide.

🤖 AI Models

The framework includes several pre-trained AI models:

Vulnerability Classifier: Categorizes and scores vulnerabilities
Exploit Recommender: Suggests optimal exploits for targets
Payload Optimizer: Generates and optimizes payloads
Evasion Engine: Applies anti-detection techniques

Training Custom Models

# Train vulnerability classifier
python scripts/train_models.py --model vulnerability_classifier --data data/vulns.csv

# Train exploit recommender
python scripts/train_models.py --model exploit_recommender --data data/exploits.csv

📊 Reporting

Report Types

Executive Summary: High-level business impact analysis
Technical Report: Detailed vulnerability and exploit information
Compliance Report: NIST, ISO 27001, PCI DSS compliance mapping
Remediation Guide: Step-by-step fix recommendations

Custom Reports

# Generate custom report
from src.modules.report_generator import ReportGenerator

generator = ReportGenerator(config)
report = await generator.generate_custom_report(
    scan_results=results,
    template="custom_template.html",
    include_charts=True,
    include_raw_data=False
)

🔒 Security Considerations

Ethical Usage

⚠️ IMPORTANT: This framework is designed for authorized penetration testing and security research only. Users must:

Obtain proper authorization before testing any systems
Comply with all applicable laws and regulations
Use responsibly and ethically
Not use for malicious purposes

Security Features

Audit Logging: Comprehensive logging of all activities
Access Control: Role-based access control and API keys
Encryption: Encrypted communications and data storage
Rate Limiting: Protection against abuse and DoS

🤝 Contributing

We welcome contributions from the cybersecurity community!

Development Setup

# Clone and setup development environment
git clone https://github.com/yashab-cyber/metasploit-ai.git
cd metasploit-ai

# Install development dependencies
pip install -r requirements-dev.txt

# Run tests
pytest tests/

# Run linting
flake8 src/
black src/

Contribution Guidelines

Fork the repository
Create a feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'Add amazing feature')
Push to the branch (git push origin feature/amazing-feature)
Open a Pull Request

See CONTRIBUTING.md for detailed guidelines.

📚 Documentation

🧪 Testing

# Run all tests
pytest

# Run specific test category
pytest tests/test_scanner.py
pytest tests/test_ai_models.py
pytest tests/test_exploits.py

# Run with coverage
pytest --cov=src tests/

🐛 Troubleshooting

Common Issues

Metasploit Connection Failed

# Start Metasploit RPC server
sudo msfconsole -x "load msgrpc ServerHost=127.0.0.1 ServerPort=55553 User=msf Pass=msf"

AI Models Not Loading

# Download pre-trained models
python scripts/download_models.py

Permission Errors

# Fix permissions
sudo chown -R $USER:$USER data/ logs/

For more troubleshooting help, see TROUBLESHOOTING.md.

🤝 Contributing

We welcome contributions from the cybersecurity community! Please read our contributing guidelines before getting started.

📚 Documentation

Contributing Guide - How to contribute to the project
Code of Conduct - Community standards and expectations
Security Policy - Security vulnerability reporting
Development Setup - Setting up your development environment
API Documentation - Complete API reference

🔒 Security

Please review our Security Policy for information on:

Reporting security vulnerabilities
Responsible disclosure guidelines
Security best practices
Bug bounty information

💰 Support the Project

If you find this project helpful, consider supporting its development:

⭐ Star the repository
🍴 Fork and contribute
💝 Make a donation
📢 Share with the community

📄 License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

⚠️ Disclaimer

This software is provided for educational and authorized testing purposes only. The authors and contributors are not responsible for any misuse or damage caused by this software. Users are solely responsible for ensuring they have proper authorization before using this tool on any systems.

🙏 Acknowledgments

Metasploit Framework - The foundational exploitation framework
NIST Cybersecurity Framework - Security guidelines and standards
OWASP - Web application security methodology
CVE/NVD - Vulnerability database and scoring
The Cybersecurity Community - For continuous research and innovation

📞 Support & Contact

🌐 Connect with ZehraSec

Website: www.zehrasec.com
Instagram: @_zehrasec
Facebook: ZehraSec Official
X (Twitter): @zehrasec
LinkedIn: ZehraSec Company

👨‍💻 Connect with Yashab Alam (Creator)

GitHub: @yashab-cyber
Instagram: @yashab.alam
LinkedIn: Yashab Alam
Email: yashabalam707@gmail.com

🔧 Technical Support

Documentation: Installation Guide
Issues: GitHub Issues
Discussions: GitHub Discussions
WhatsApp Business: ZehraSec Channel

Made with ❤️ by Yashab Alam and the ZehraSec Team

Advancing Cybersecurity Through AI Innovation

ZehraSec Website • GitHub Repository • Issues • Documentation