🛡️ Web-Based Intrusion Detection and Prevention System (IDPS)

A robust web-based Intrusion Detection and Prevention System built with Python and Flask, combining real-time URL scanning, web-scrapping, and Redis caching to provide a fast, scalable, and proactive approach to threat detection bsed on urls. The system alerts users once the malicious URL is detected and maintains a secure blacklist to prevent repeated threats.

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🎯 Features & Objectives

1. 🔍 Real-time URL Scanning

   • Detects malicious or suspicious links using VirusTotal API and pattern matching.
   • Prevents redirection to harmful URLs.

2. 🚀 Caching with Redis

   • Reduces repetitive API calls by caching previously scanned URLs.
   • Improves system efficiency and response time.

3. ✉️ Real-time Alert Notifications

   • Sends immediate notifications to users when a malicious link is detected.

4. 🧱 URL Blacklisting and Logging

   • Stores malicious URLs in a persistent blacklist.
   • Logs scanning results for future analysis or audits.

5. 📊 User-Friendly Web Interface

   • Clean, responsive UI for input, result display, and scanning reports.
   • Optional stats dashboard using charts and tables.

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🧰 Tech Stack

Component	Technology
Frontend	HTML, CSS, JavaScript
Backend	Python (Flask)
Caching	Redis
Database	PostgreSQL (for logs/blacklist)
APIs	VirusTotal API
Database Interaction	SQLAlchemy
IDE	VS Code

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Future Scope

1. 🧠 Advanced AI Integration

   • Enhance detection with deep learning models (e.g., LSTM, CNN) for higher precision.

2. ☁️ Multi-cloud Deployment

   • Containerize and deploy the system on AWS, GCP, or Azure for enterprise scalability.

3. ⚙️ Automated Threat Response

   • Implement automatic actions like IP blocking, firewall updates, or session termination.

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🚀 How to Run Locally

git clone https://github.com/your-username/your-idps-project.git
cd your-idps-project
pip install -r requirements.txt
python app.py