--- title: Luminet - Open Source Network Analysis Tool emoji: 🌐 colorFrom: purple colorTo: blue sdk: gradio sdk_version: 5.46.0 app_file: app.py pinned: false --- # 🌐 Luminet - Open Source Network Analysis Tool [](https://hub.docker.com) [](https://huggingface.co/spaces) [](https://python.org) [](LICENSE) **🇬🇧 English** | [🇹🇷 Türkçe](#-türkçe---proje-açıklaması) --- ## 📖 Overview **Luminet** is a comprehensive open-source network analysis tool designed for cybersecurity professionals, network administrators, and researchers. It provides detailed reconnaissance capabilities for IP addresses and domain names using only public, free data sources. ### ✨ Key Features - **🔍 RDAP/WHOIS Analysis** - Comprehensive registry data lookup - **🌐 DNS Records Enumeration** - A, AAAA, MX, NS, TXT, CNAME, SOA records - **🗺️ Geographic Location Mapping** - IP geolocation and ISP information - **🛡️ Security Assessment** - DNSBL checks, anonymity service detection - **🔒 SSL/TLS Certificate Analysis** - Certificate chain and security validation - **📊 Network Routing Analysis** - Traceroute and BGP information - **⚡ Real-time Ping Statistics** - Latency and connectivity testing - **🔌 Port Scanning** - Open port detection and service identification --- ## 🚀 Quick Start ### Using Docker (Recommended) ```bash # Clone the repository git clone https://github.com/koesan/Luminet.git cd Luminet # Run with Docker Compose docker-compose up -d # Access the application open http://localhost:7860 ``` ### Using Docker Hub ```bash # Pull and run from Docker Hub docker run -p 7860:7860 koesan/luminet:latest ``` ### Manual Installation ```bash # Clone repository git clone https://github.com/koesan/Luminet.git cd Luminet # Install system dependencies (Ubuntu/Debian) sudo apt update sudo apt install -y python3 python3-pip traceroute nmap mtr dnsutils # Create virtual environment python3 -m venv venv source venv/bin/activate # Install Python dependencies pip install -r requirements.txt # Run the application python main.py ``` --- ## 📋 System Requirements ### Minimum Requirements - **OS**: Linux (Ubuntu 20.04+ recommended), macOS, Windows - **Python**: 3.11 or higher - **Memory**: 512 MB RAM - **Storage**: 100 MB free space ### Recommended System Tools - `traceroute` - Network path tracing - `nmap` - Port scanning capabilities - `mtr` - Enhanced network diagnostics - `dig`/`nslookup` - DNS utilities --- ## 🛠️ Technology Stack ### Backend - **Framework**: Flask 2.3.3 - **Language**: Python 3.11+ - **Networking**: dnspython, requests, python-whois - **Security**: pyOpenSSL, scapy ### Frontend - **UI Framework**: Bootstrap 5.3.3 - **Icons**: Bootstrap Icons 1.11.3 - **Fonts**: Inter (Google Fonts) - **Styling**: Custom CSS with CSS Grid & Flexbox ### Infrastructure - **Containerization**: Docker & Docker Compose - **Process Management**: Gunicorn WSGI server - **Health Monitoring**: Built-in health checks --- ## 📦 Docker Deployment ### For Hugging Face Spaces Create an `app.py` file in your Hugging Face Space: ```python import subprocess import sys # Install system dependencies subprocess.run(["apt-get", "update"], check=True) subprocess.run([ "apt-get", "install", "-y", "traceroute", "nmap", "mtr", "dnsutils", "iputils-ping" ], check=True) # Run the main application from main import app if __name__ == "__main__": app.run(host="0.0.0.0", port=7860) ``` ### Production Deployment ```dockerfile FROM python:3.11-slim RUN apt-get update && apt-get install -y \ traceroute nmap mtr dnsutils iputils-ping \ && rm -rf /var/lib/apt/lists/* WORKDIR /app COPY requirements.txt . RUN pip install --no-cache-dir -r requirements.txt COPY . . EXPOSE 7860 CMD ["gunicorn", "--bind", "0.0.0.0:7860", "main:app"] ``` --- ## 🔧 Configuration ### Environment Variables ```bash # Application settings PORT=7860 # Server port SECRET_KEY=your-secret-key # Flask secret key # Optional API keys (for enhanced features) IPINFO_TOKEN=your-token # IPinfo.io API token SHODAN_API_KEY=your-key # Shodan API key (if available) ``` ### Custom Configuration Edit `main.py` to customize: ```python # Request timeout settings REQUEST_DELAY = 0.1 # Rate limiting delay RESOLVER_TIMEOUT = 5 # DNS resolver timeout # Feature toggles ENABLE_PORT_SCAN = True # Enable/disable port scanning ENABLE_TRACEROUTE = True # Enable/disable traceroute ``` --- ## 🔍 Usage Examples ### Web Interface 1. Open `http://localhost:7860` in your browser 2. Enter an IP address or domain name 3. Click "Analyze" to get comprehensive results ### API Usage ```bash # Analyze an IP address curl -X POST http://localhost:7860/api/analyze \ -H "Content-Type: application/json" \ -d '{"ip": "8.8.8.8"}' # Example response { "ip": "8.8.8.8", "ipinfo": { "city": "Mountain View", "country": "US", "org": "AS15169 Google LLC" }, "ping": { "min": "10.2 ms", "avg": "12.5 ms", "max": "15.1 ms" } } ``` --- ## 🤝 Contributing We welcome contributions! Here's how you can help: ### Development Setup ```bash # Fork and clone the repository git clone https://github.com/yourusername/Luminet.git cd Luminet # Create feature branch git checkout -b feature/your-feature-name # Make your changes and commit git commit -am "Add your feature" git push origin feature/your-feature-name # Create a Pull Request ``` ### Code Style - Follow PEP 8 for Python code - Use meaningful variable names - Add docstrings for functions - Write unit tests for new features --- ## 📄 License This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details. --- ## 🙏 Acknowledgments - **IANA** - Internet registry data - **RIPEstat** - BGP and routing information - **ipinfo.io** - Geolocation services - **Bootstrap** - UI framework - **Flask** - Web framework --- ## 📞 Support - **Issues**: [GitHub Issues](https://github.com/koesan/Luminet/issues) - **Discussions**: [GitHub Discussions](https://github.com/koesan/Luminet/discussions) - **Email**: koesan@example.com --- # 🇹🇷 Türkçe - Proje Açıklaması ## 📖 Genel Bakış **Luminet**, siber güvenlik uzmanları, ağ yöneticileri ve araştırmacılar için tasarlanmış kapsamlı bir açık kaynak ağ analiz aracıdır. Yalnızca halka açık, ücretsiz veri kaynaklarını kullanarak IP adresleri ve alan adları için detaylı keşif yetenekleri sağlar. ### ✨ Temel Özellikler - **🔍 RDAP/WHOIS Analizi** - Kapsamlı kayıt veri arama - **🌐 DNS Kayıt Numaralandırması** - A, AAAA, MX, NS, TXT, CNAME, SOA kayıtları - **🗺️ Coğrafi Konum Haritalaması** - IP coğrafi konum ve ISS bilgileri - **🛡️ Güvenlik Değerlendirmesi** - DNSBL kontrolleri, anonimlik hizmeti tespiti - **🔒 SSL/TLS Sertifika Analizi** - Sertifika zinciri ve güvenlik doğrulaması - **📊 Ağ Yönlendirme Analizi** - Traceroute ve BGP bilgileri - **⚡ Gerçek Zamanlı Ping İstatistikleri** - Gecikme ve bağlanabilirlik testi - **🔌 Port Tarama** - Açık port tespiti ve servis tanımlama ## 🚀 Hızlı Başlangıç ### Docker Kullanarak (Önerilen) ```bash # Depoyu klonlayın git clone https://github.com/koesan/Luminet.git cd Luminet # Docker Compose ile çalıştırın docker-compose up -d # Uygulamaya erişin open http://localhost:7860 ``` ### Manuel Kurulum ```bash # Depoyu klonlayın git clone https://github.com/koesan/Luminet.git cd Luminet # Sistem bağımlılıklarını kurun (Ubuntu/Debian) sudo apt update sudo apt install -y python3 python3-pip traceroute nmap mtr dnsutils # Sanal ortam oluşturun python3 -m venv venv source venv/bin/activate # Python bağımlılıklarını kurun pip install -r requirements.txt # Uygulamayı çalıştırın python main.py ``` ## 📋 Sistem Gereksinimleri ### Minimum Gereksinimler - **İşletim Sistemi**: Linux (Ubuntu 20.04+ önerilir), macOS, Windows - **Python**: 3.11 veya üzeri - **Bellek**: 512 MB RAM - **Depolama**: 100 MB boş alan ### Önerilen Sistem Araçları - `traceroute` - Ağ yolu izleme - `nmap` - Port tarama yetenekleri - `mtr` - Gelişmiş ağ tanılama - `dig`/`nslookup` - DNS araçları ## 🛠️ Teknoloji Yığını ### Arka Uç - **Framework**: Flask 2.3.3 - **Dil**: Python 3.11+ - **Ağ İletişimi**: dnspython, requests, python-whois - **Güvenlik**: pyOpenSSL, scapy ### Ön Uç - **UI Framework**: Bootstrap 5.3.3 - **İkonlar**: Bootstrap Icons 1.11.3 - **Yazı Tipleri**: Inter (Google Fonts) - **Stil**: CSS Grid ve Flexbox ile özel CSS ## 🔍 Kullanım Örnekleri ### Web Arayüzü 1. Tarayıcınızda `http://localhost:7860` adresini açın 2. Bir IP adresi veya alan adı girin 3. Kapsamlı sonuçlar için "Analiz Et" düğmesine tıklayın ### API Kullanımı ```bash # Bir IP adresini analiz etme curl -X POST http://localhost:7860/api/analyze \ -H "Content-Type: application/json" \ -d '{"ip": "8.8.8.8"}' ``` ## 📄 Lisans Bu proje MIT Lisansı altında lisanslanmıştır - detaylar için [LICENSE](LICENSE) dosyasına bakın. ---
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