cyber project
"Suspicious URL Detection & Threat Analysis Tool | Cybersecurity + Machine Learning Project Built a lightweight tool to detect suspicious or phishing URLs by combining threat intelligence APIs (PhishTank, WHOIS) with a Random Forest model trained on public Kaggle datasets. Used Python for automation and data preprocessing, integrating Nmap and Burp Suite for quick security checks and vulnerability testing on detected domains. Deployed a simple Flask-based web interface on AWS EC2, allowing users to input URLs and view real-time phishing probability scores. Monitored network behavior of flagged URLs using Wireshark, demonstrating practical knowledge of threat detection, ML integration, and incident response basics."