🛡️ Phishing Website Detector

This project is developed by Mursaleen Mushtaq as a learning project for understanding how machine learning can be used to detect phishing websites based on URL features and security indicators.

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📖 Project Overview

The Phishing Website Detector is a simple Flask-based web app that predicts whether a website is Safe or Phishing.
It uses machine learning algorithms to analyze different URL and domain features (like HTTPS presence, length, special symbols, and digits) and classify the site accordingly.

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⚙️ Features

• Detects suspicious and legitimate websites based on URL analysis
• Machine Learning model trained using common phishing dataset features
• Simple and lightweight Flask web interface
• Beginner-friendly and easy to understand code structure

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🧠 Technologies Used

• Python 3.9+
• Flask (for web app)
• Scikit-learn (for ML model)
• Pandas, NumPy (for data processing)
• Joblib (for saving/loading the model)

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🚀 How to Run the Project

Step 1: Clone the repository

git clone https://github.com/mursaleenmushtaq240-del/phishing-website-detector.git