Malicious-URL-Detector

Malicious URL Detector Browser Extension

A comprehensive browser extension that detects malicious URLs in real-time using Machine Learning, Google Safe Browsing, VirusTotal, and WHOIS analysis.

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Overview

This project provides a complete solution for URL security analysis, featuring:

• A Machine Learning model with 86% accuracy for URL classification
• Real-time browser extension for Chrome/Edge
• RESTful API for programmatic URL analysis
• Integration with multiple security services

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Features

Core Detection

• Machine Learning Model: Random Forest classifier trained on 24,800 samples
• Real-time Analysis: Instant URL scanning during browsing
• Multiple Detection Engines:
  • ML-based pattern recognition (9 features)
  • Google Safe Browsing API integration
  • VirusTotal multi-engine scanning
  • WHOIS domain reputation analysis

Browser Extension

• Real-time security alerts for malicious websites
• Detailed scan reports with confidence scores
• Scan history with timestamp tracking
• One-click scanning of current pages
• Intuitive user interface

Backend API

• Flask-based REST API with CORS support
• Health monitoring endpoints
• Comprehensive JSON responses
• Rate limiting and input validation

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Technical Specifications

Model Performance

• Accuracy: 86%
• Weighted F1 Score: 86%
• Training Samples: 24,800
• Features: 9 URL characteristics
• Classes: benign, defacement, malware, phishing

Technologies Used

• Backend: Python, Flask, scikit-learn
• Frontend: HTML, CSS, JavaScript
• Machine Learning: Random Forest, pandas, numpy
• APIs: Google Safe Browsing, VirusTotal, WHOIS
• Browser: Chrome Extension Manifest V3

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Installation

Prerequisites

• Python 3.8 or higher
• Chrome or Edge browser
• (Optional) API keys for enhanced detection

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Screen shots

Testing Using Safe URL

• Step 1

• Step 2

• Step 3

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Testing Using Malicious URL

• Step 1

• Step 2

• Step 3