🔐 Phishing URL Detection Using Machine Learning | Cybersecurity Project Demo
Welcome to this demo of a phishing URL detection tool built using Python and Machine Learning. In this project, we trained a Random Forest model on a labeled dataset of phishing and legitimate URLs. The tool uses features like URL length, presence of HTTPS, domain structure, and more to predict if a link is safe or malicious.
📌 Key Features:
CLI tool to predict phishing vs legitimate URLs
Random Forest model with ~97% accuracy
Simple and offline-capable detection
Project files available on GitHub
🎯 Objective: Help users stay safe from phishing attacks using ML-based URL analysis.
📂 GitHub Repository: https://github.com/saniyaachaughule/Phishing-Detection-using-URL-Analysis
📃 Research & Development by: Saniya Choughule & Iqra Khan
🎓 Cybersecurity Internship - Digisuraksha Parhari Foundation
