A comprehensive security solution that leverages Machine Learning to identify phishing emails with high accuracy. The
system analyzes email headers, body content, and URLs to detect social engineering attempts and malicious patterns
before they reach the user.
Features:
* Machine Learning Engine: Uses Random Forest and XGBoost classifiers for robust threat detection.
* Header & Metadata Analysis: Validates sender reputation and checks for SPF, DKIM, and DMARC spoofing.
* Advanced URL Inspection: Integrates with VirusTotal and Google Safe Browsing APIs for real-time URL reputation
checking.
* NLP Text Analysis: Employs Natural Language Processing to identify urgency, threats, and suspicious language
patterns.
* Interactive Dashboard: A Flask-based web interface for visualizing analysis results and security metrics.