🔒 Phishing URL Detection System

A machine learning-powered web application that analyzes URLs to detect potential phishing websites. Built with Flask and scikit-learn, this tool extracts 30 key features from URLs and uses a trained classifier to determine website safety.

View Live Demo

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✨ Features

• Real-time URL Analysis - Instant phishing detection for any website
• 30+ Security Features - Comprehensive analysis including domain age, SSL certificates, redirects, and more
• Interactive Web Interface - Clean, responsive design with gradient styling
• Safety Scoring - Percentage-based safety assessment
• One-Click Deployment - Ready for Render, Heroku, or any cloud platform

🛠️ Tech Stack

• Backend: Python, Flask, scikit-learn
• ML Model: Gradient Boosting Classifier
• Frontend: HTML5, CSS3, Bootstrap, JavaScript
• Deployment: Gunicorn ready

🚀 Quick Start

git clone https://github.com/yourusername/phishing-url-detector.git
cd phishing-url-detector
pip install -r requirements.txt
python app.py

Visit http://localhost:5000 and start detecting phishing URLs!

🔍 How it Works

The system analyzes URLs based on:

• Domain characteristics (age, registration length, subdomains)
• URL structure (length, special characters, redirects)
• Website content (forms, links, scripts)
• Security features (HTTPS, certificates, ports)

📊 Model Performance

The trained model achieves high accuracy in detecting phishing attempts by analyzing patterns commonly found in malicious websites.

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⚠️ Disclaimer: This tool is for educational and security awareness purposes. Always exercise caution when visiting unfamiliar websites.