State of the Art: Content-based and Hybrid Phishing Detection

TL;DR

This paper reviews recent content-based and hybrid techniques for detecting phishing websites, highlighting their effectiveness and challenges in distinguishing legitimate sites from malicious ones amidst evolving threats.

Contribution

It provides a comprehensive comparison of the latest web content-based and hybrid phishing detection methods, summarizing their strengths and limitations.

Findings

Content-based methods improve detection accuracy.

Hybrid approaches combine multiple features for better performance.

Challenges remain in handling sophisticated phishing tactics.

Abstract

Phishing attacks have evolved and increased over time and, for this reason, the task of distinguishing between a legitimate site and a phishing site is more and more difficult, fooling even the most expert users. The main proposals focused on addressing this problem can be divided into four approaches: List-based, URL based, content-based, and hybrid. In this state of the art, the most recent techniques using web content-based and hybrid approaches for Phishing Detection are reviewed and compared.