Phishing Detection Based on Webpage Content: Static and Dynamic Analysis

Phishing attacks present a formidable cybersecurity problem, that continue to grow despite efforts to counter. This research investigates the potentials of dynamic analysis of webpages for detecting phishing behavior compared to static analysis. We performed automated analysis on a large dataset of 30,000 samples. Findings show that dynamic analysis achieved a higher accuracy rate, demonstrating a significant potential in page content analysis for phishing detection. Dynamic analysis reduced uncertainty in difficult-to-classify samples by 16%, enhancing the algorithm's resilience. Leveraging webpage content offers promising prospects for phishing detection, providing a valuable complement to existing systems and aiding in detecting sophisticated attacks.