Hybrid Machine Learning Model for Phishing Detection Using Multi-Modal Data
A hybrid machine learning model that leverages multi-modal data—including textual URL features, HTML content, webpage screenshots, and metadata—to achieve robust and accurate phishing detection is proposed, highlighting the efficacy of multi-modal fusion in overcoming limitations of unimodal approaches.