Website Phishing Detection System using Python & Machine Learning

The Website Phishing Detection System is designed to protect users from online scams by automatically detecting phishing websites. Using Python and advanced machine learning algorithms, the system examines multiple website features such as URL length, SSL certificate validity, domain age, suspicious keywords, and HTML content patterns to identify malicious websites.

This project is highly useful for cybersecurity enthusiasts, IT professionals, and organizations aiming to safeguard users from phishing attacks. The system can also be integrated into browser extensions or security platforms for real-time protection.

🔹 Technology Stack:

• Programming Language: Python

• Frameworks & Libraries: Joblib, NumPy, Scikit-learn, Pandas,tldextrac

• Database: SQLite

• Machine Learning Model: Regression (Linear Regression, Random Forest, etc.)

• IDE: PyCharm

📂 What You Will Get

✅ Full Source Code
✅ Project Report (DOC & PDF)
✅ PPT for College Presentation
✅ Installation Guide

📝 Features

• Detect phishing websites based on URL and content features.

• Machine learning model for high-accuracy detection.

• User-friendly interface for easy scanning.

• User Registration
• Admin Module