urlclassification

A machine learning-based system that detects phishing websites by analyzing URL, domain, and HTML-based features. Compares 9 ML models — with Gradient Boosting achieving 97.4% accuracy — to classify URLs as phishing or legitimate.

A machine learning-based system for detecting phishing attempts by analyzing network traffic patterns, aimed at identifying malicious activity before it reaches the end user.

Machine learning based malicious URL detection system using Random Forest and Streamlit.