p-jaswanth-kumar-reddy/ai-threat-intelligence-system

# 🛡️ AI Threat Intelligence System An AI-powered cybersecurity platform designed for vulnerability assessment, threat intelligence analysis, and automated security monitoring using modern web technologies and penetration testing tools. # 🚀 Features - 🔐 Secure User Authentication using JWT - 📡 Network Scanning using Nmap - 🧠 AI-Based Threat Intelligence - ⚠️ CVE Vulnerability Detection - 📊 Interactive Cybersecurity Dashboard - 📁 Scan History & Reports - 📧 OTP-Based Password Reset - 🌐 Real-Time Threat Analysis - 🐳 Docker-Compatible Architecture - 🛡️ Kali Linux Integration Support # 🛠️ Technologies Used ## Frontend - React.js - Tailwind CSS - Axios ## Backend - FastAPI - Python - JWT Authentication - Passlib (bcrypt) ## Database - MongoDB ## Cybersecurity Tools - Nmap - CVE APIs # 📂 Project Structure ai-redteam/ │ ├── backend/ │ ├── database.py │ ├── main.py │ ├── services/ │ └── reports/ │ ├── frontend/ │ ├── public/ │ ├── src/ │ ├── package.json │ ├── package-lock.json │ ├── postcss.config.js │ └── tailwind.config.js │ ├── .gitignore └── README.md # ⚙️ Installation ## 1️⃣ Clone Repository git clone https://github.com/p-jaswanth-kumar-reddy/ai-threat-intelligence-system.git ## 2️⃣ Backend Setup cd backend python3 -m venv venv source venv/bin/activate Install dependencies: pip install -r requirements.txt Run backend server: python -m uvicorn main:app --host 0.0.0.0 --port 8000 --reload ## 3️⃣ Frontend Setup cd frontend npm install npm start # 🔐 Environment Variables Create `.env` inside backend folder: SECRET_KEY=your_secret_key MONGO_URI=your_mongodb_uri # 📊 Functional Modules - User Authentication Module - Threat Intelligence Engine - Vulnerability Detection Module - CVE Analysis System - Report Generation Module - Scan History Management - OTP Verification System # 🧠 How It Works 1. User logs into the system securely. 2. Target IP/domain is submitted for scanning. 3. Nmap scans open ports and services. 4. Backend fetches related CVEs. 5. Risk analysis is performed. 6. Results are displayed in dashboard format. 7. Reports can be downloaded and stored. # 🛡️ Security Features - JWT Authentication - Password Hashing using bcrypt - OTP-Based Password Reset - Secure API Communication - Environment Variable Protection # 🎯 Future Enhancements - AI-based anomaly detection - Real-time threat monitoring - SIEM integration - Cloud deployment - Advanced malware analysis # 👨‍💻 Authors ## P Jaswanth Kumar Reddy Department of Computer Science and Engineering (AIML) Sathyabama Institute of Science and Technology Chennai, India 📧 pjaswanthkumarreddy3@gmail.com ## D Nikith Kumar Reddy Department of Computer Science and Engineering (AIML) Sathyabama Institute of Science and Technology Chennai, India 📧 nikithkumarreddy6671@gmail.com # 📜 License This project is developed for educational and research purposes.

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