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

arXiv 2101.12723 ↗First posted 29 Jan 2021cs.CR cs.LGcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 1 of its 19 references that are in the map. First posted on arXiv 29 Jan 2021.

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References · 1

  1. 2020Look Before You Leap: Detecting Phishing Web Pages by Exploiting Raw URL And HTML Characteristicscited by 9

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