Phishing Website Detection System 🚀

A robust web application that detects phishing websites using machine learning and URL analysis. Enter any URL and get instant results on whether it's legitimate or phishing!

✨ Features

• 🔍 Real-time URL scanning with ML-powered detection
• 🚀 Simple, intuitive user interface
• ⚡ Fast response times (< 2 seconds)
• 📱 Responsive design for desktop & mobile
• 🔒 Secure API communication (HTTPS ready)
• 📊 Detailed detection metrics and confidence scores

🏗️ Tech Stack

Frontend	Backend	ML/Analysis
HTML5, CSS3	Flask/FastAPI (Python)	Scikit-learn, TensorFlow
Bootstrap (optional)	RESTful API	URL feature extraction

🎯 Project Flow

1. User enters URL in input box
2. Clicks "Scan URL" button
3. Frontend sends URL to backend API
4. Backend processes with ML model
5. Returns result: Legitimate/Phishing
6. Frontend displays result instantly

🚀 Quick Start

Frontend Setup

git clone https://github.com/yourusername/phishing-detection.git
cd phishing-detection/frontend
# Open index.html in browser

Backend Setup (separate repo)

pip install -r requirements.txt
python app.py

📋 Frontend Implementation

HTML Structure:

• Title: "Phishing Website Detection"
• Input: URL textbox
• Button: "Scan URL"
• Result: Status

JavaScript Flow:

// 1. Capture URL input
// 2. Send POST request to /scan endpoint
// 3. Display result with loading animation
// 4. Handle errors gracefully

📁 File Structure

phishing-detection/
├── index.html      (Main UI)
├── style.css       (Clean, centered design)
├── script.js       (API integration)
├── README.md
└── demo.gif        (Demo video)

🎥 Demo

🤝 Contributing

1. Fork the repository
2. Create feature branch
3. Commit changes
4. Push and open PR

📈 Future Roadmap

• Browser extension
• Real-time phishing database
• Advanced ML features
• Mobile app support

📄 License

MIT License - see LICENSE file for details.

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