🚀 NMAP-AI: AI-Powered Network Scanning & Automation

🤖 Revolutionizing network scanning with AI-powered automation, intelligent script generation, and advanced port scanning capabilities

📋 Table of Contents

🌟 Features
🚀 Installation
💻 Usage
🤖 AI Capabilities
📱 GUI Mode
⌨️ CLI Mode
🛠️ Configuration
🤝 Contributing
💰 Support
📄 License

🌟 Features

🤖 AI-Powered Capabilities

Intelligent Script Generation: AI creates custom Nmap scripts based on target analysis
Smart Port Scanning: ML-optimized scanning strategies for maximum efficiency
Automated Vulnerability Detection: AI-driven identification of potential security issues
Adaptive Scanning: Dynamic adjustment of scan parameters based on target responses
Threat Intelligence Integration: Real-time threat data incorporation

🖥️ User Interfaces

Modern GUI: Cross-platform desktop application with real-time visualization
Advanced CLI: Powerful command-line interface with scripting support
Web Dashboard: Browser-based interface for remote management
API Access: RESTful API for integration with other tools

🔧 Advanced Scanning Features

Multi-threaded Scanning: Parallel execution for faster results
Custom Script Library: Extensive collection of specialized Nmap scripts
Network Visualization: Interactive network topology mapping
Report Generation: Comprehensive reports in multiple formats (PDF, HTML, JSON, XML)
Scheduled Scanning: Automated recurring scans with alerting

🛡️ Security & Privacy

Offline AI Models: No data sent to external services
Encrypted Storage: Secure storage of scan results and configurations
Audit Logging: Complete logging of all activities
Role-based Access: Multi-user support with permission controls

🚀 Installation

Prerequisites

Python 3.8+
Nmap 7.0+
Git
4GB RAM minimum (8GB recommended for AI features)

Quick Installation

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

# Install dependencies
pip install -r requirements.txt

# Install Nmap (if not already installed)
sudo apt-get install nmap  # Ubuntu/Debian
sudo yum install nmap      # CentOS/RHEL
brew install nmap          # macOS

# Initialize AI models
python -m nmap_ai.setup --init-ai

# Run the application
python -m nmap_ai

Docker Installation

Note: The Docker image is currently being set up on Docker Hub. Until it's available, you can build the image locally using the instructions below.

Option 1: Pull from Docker Hub (Coming Soon)

docker pull yashabalam/nmap-ai:latest
docker run -it --rm yashabalam/nmap-ai:latest

Option 2: Build Locally (Current Recommended Method)

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

# Build and run using Docker Compose
docker-compose up nmap-ai

# Or build manually
./scripts/docker_build.sh build-prod
docker run -it --rm -p 8080:8080 yashabalam/nmap-ai:latest

Option 3: Using Docker with Volume Mounts

# For persistent data
docker run -it --rm \
  -p 8080:8080 \
  -v $(pwd)/data:/app/data \
  -v $(pwd)/results:/app/results \
  yashabalam/nmap-ai:latest

💻 Usage

🖥️ GUI Mode

# Launch GUI application
python -m nmap_ai --gui

# Or use the desktop shortcut after installation
nmap-ai-gui

⌨️ CLI Mode

# Basic AI-powered scan
nmap-ai --target 192.168.1.0/24 --ai-mode smart

# Generate custom script with AI
nmap-ai --generate-script --target example.com --vulnerability web

# Advanced port scan with ML optimization
nmap-ai --target 10.0.0.1 --ports all --ai-optimize --output report.json

# Batch scanning with AI analysis
nmap-ai --batch targets.txt --ai-analysis --format pdf

🌐 Web Dashboard

# Start web server
nmap-ai --web --port 8080

# Access dashboard at http://localhost:8080

🤖 AI Capabilities

🧠 Intelligent Script Generation

NMAP-AI can automatically generate custom Nmap scripts based on your requirements:

from nmap_ai import AIScriptGenerator

generator = AIScriptGenerator()

# Generate script for web application testing
script = generator.create_script(
    target_type="web_server",
    vulnerabilities=["sql_injection", "xss", "directory_traversal"],
    stealth_level="high"
)

# Generate script for network device scanning
network_script = generator.create_script(
    target_type="network_device",
    device_types=["router", "switch", "firewall"],
    protocols=["snmp", "ssh", "telnet"]
)

🔍 Smart Scanning Algorithms

from nmap_ai import SmartScanner

scanner = SmartScanner()

# AI-optimized port scanning
results = scanner.smart_scan(
    target="192.168.1.0/24",
    optimization_level="aggressive",
    ai_model="fast_scan_v2"
)

# Adaptive scanning with learning
adaptive_results = scanner.adaptive_scan(
    target="example.com",
    learn_from_previous=True,
    adjust_timing=True
)

📱 GUI Features

Main Dashboard

Real-time scan progress visualization
Interactive network topology maps
Live port status indicators
Threat level heat maps

AI Assistant Panel

Natural language query interface
Automated script suggestions
Vulnerability explanation and remediation advice
Scan optimization recommendations

Report Generator

Customizable report templates
Executive summary generation
Technical details with screenshots
Export options (PDF, HTML, DOCX)

⌨️ CLI Advanced Usage

Scripting and Automation

# Create scanning profiles
nmap-ai --create-profile web_scan --ports 80,443,8080,8443 --scripts http-*

# Use custom AI models
nmap-ai --ai-model custom_model.pkl --target 10.0.0.0/8

# Integration with other tools
nmap-ai --target-from-file ips.txt --output-format json | jq '.vulnerabilities'

# Scheduled scanning
nmap-ai --schedule "0 2 * * *" --profile daily_scan --notify email

Advanced Configuration

# config.yml
ai:
  models:
    script_generation: models/script_gen_v3.pkl
    vulnerability_detection: models/vuln_detect_v2.pkl
    port_prediction: models/port_pred_v1.pkl
  
scanning:
  default_timeout: 300
  max_parallel_hosts: 50
  retries: 3
  
output:
  default_format: json
  include_raw_nmap: true
  compress_results: true

notifications:
  email:
    enabled: true
    smtp_server: smtp.gmail.com
    port: 587
  webhook:
    enabled: false
    url: https://your-webhook-url.com

🛠️ Plugin System

NMAP-AI supports a flexible plugin architecture:

# plugins/custom_scanner.py
from nmap_ai.plugins import BasePlugin

class CustomVulnScanner(BasePlugin):
    name = "Custom Vulnerability Scanner"
    version = "1.0.0"
    
    def scan(self, target, options):
        # Custom scanning logic
        return results
    
    def generate_script(self, requirements):
        # Custom script generation
        return script_code

🔧 API Reference

REST API Endpoints

# Start scan
POST /api/v1/scan
{
    "target": "192.168.1.0/24",
    "options": {
        "ai_mode": true,
        "stealth": "medium",
        "ports": "common"
    }
}

# Get scan results
GET /api/v1/scan/{scan_id}

# Generate AI script
POST /api/v1/ai/generate-script
{
    "target_type": "web_server",
    "requirements": ["vulnerability_scan", "service_detection"]
}

# List AI models
GET /api/v1/ai/models

🎯 Use Cases

🏢 Enterprise Security

Automated Asset Discovery: AI-powered identification of network assets
Compliance Scanning: Automated checks for security compliance
Threat Hunting: Proactive identification of potential threats
Vulnerability Management: Continuous vulnerability assessment

🎓 Education & Research

Security Training: Interactive learning environment
Research Projects: Advanced scanning capabilities for academic research
Penetration Testing: Professional-grade testing tools
Network Analysis: Deep network behavior analysis

🔒 Penetration Testing

Reconnaissance Automation: AI-assisted information gathering
Custom Exploit Development: Script generation for specific targets
Stealth Scanning: Advanced evasion techniques
Report Generation: Professional penetration testing reports

🚀 Roadmap

Version 1.1 (Q3 2025)

Enhanced AI models for better accuracy
Mobile companion app (Android/iOS)
Cloud-based scanning coordination
Advanced machine learning analytics

Version 1.2 (Q4 2025)

Integration with major SIEM platforms
Real-time threat intelligence feeds
Advanced network visualization
Multi-language support

Version 2.0 (Q1 2026)

Distributed scanning architecture
Advanced AI-powered exploit generation
Blockchain-based result verification
Quantum-resistant scanning protocols

🤝 Contributing

We welcome contributions from the community! Please see our Contributing Guide for details.

Development Setup

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

# Create virtual environment
python -m venv venv
source venv/bin/activate  # Linux/macOS
venv\Scripts\activate     # Windows

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

# Install pre-commit hooks
pre-commit install

# Run tests
python -m pytest

💰 Support

If you find NMAP-AI useful, please consider supporting our development:

💰 Donate via Cryptocurrency or PayPal
⭐ Star this repository on GitHub
📢 Share the project with others
🐛 Report bugs and suggest features
📝 Contribute to documentation

📜 License

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

🙏 Acknowledgments

The Nmap Development Team for creating the amazing Nmap tool
The open-source AI/ML community for inspiration and tools
All contributors and supporters of the NMAP-AI project
ZehraSec for providing development resources and support

📞 Contact

Email: yashabalam707@gmail.com
GitHub: @yashab-cyber
LinkedIn: Yashab Alam
Company: ZehraSec
WhatsApp: Business Channel

🚀 Made with ❤️ by Yashab Alam (Founder of ZehraSec) and the NMAP-AI team

Revolutionizing network security, one scan at a time.