Phishing Webpage Detection: Unveiling the Threat Landscape and Investigating Detection Techniques

• URL: http://arxiv.org/abs/2509.08424v1
• Date: Wed, 10 Sep 2025 09:14:18 GMT
• Title: Phishing Webpage Detection: Unveiling the Threat Landscape and Investigating Detection Techniques
• Authors: Aditya Kulkarni, Vivek Balachandran, Tamal Das,
• Abstract summary: Researchers have been actively working on advancing phishing webpage detection approaches.<n>The ever-evolving strategies employed by attackers, aimed at circumventing existing detection approaches and tools, present an ongoing challenge to the research community.<n>This survey presents a systematic categorization of diverse phishing webpage detection approaches, encompassing URL-based, webpage content-based, and visual techniques.
• Score: 0.03499870393443268
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: In the realm of cybersecurity, phishing stands as a prevalent cyber attack, where attackers employ various tactics to deceive users into gathering their sensitive information, potentially leading to identity theft or financial gain. Researchers have been actively working on advancing phishing webpage detection approaches to detect new phishing URLs, bolstering user protection. Nonetheless, the ever-evolving strategies employed by attackers, aimed at circumventing existing detection approaches and tools, present an ongoing challenge to the research community. This survey presents a systematic categorization of diverse phishing webpage detection approaches, encompassing URL-based, webpage content-based, and visual techniques. Through a comprehensive review of these approaches and an in-depth analysis of existing literature, our study underscores current research gaps in phishing webpage detection. Furthermore, we suggest potential solutions to address some of these gaps, contributing valuable insights to the ongoing efforts to combat phishing attacks.

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