A Survey of Phishing Campaign Trends and the Classification of Detection Techniques 


Vol. 14,  No. 3, pp. 149-160, Mar.  2025
https://doi.org/10.3745/TKIPS.2025.14.3.149


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  Abstract

Recent phishing attacks have demonstrated notable cost-effectiveness and efficiency through the use of phishing kits and AI technologies, resulting in a substantial rise in phishing efforts. Furthermore, phishing is evolving in complexity as perpetrators leverage psychological weaknesses, enhanced generation methods, and evasion tactics. Credentials obtained via phishing are frequently utilised for subsequent assaults, causing more harm. To safeguard users against phishing assaults, it is essential to examine how contemporary phishing strategies circumvent existing detection systems and to derive insights from the newest research developments. This study categorises phishing detection solutions into four types: URL and domain-based, web page component-based, visual similarity-based, and message content-based detection, while highlighting the challenges faced by each approach.

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  Cite this article

[IEEE Style]

J. Park, S. Choi, K. Park, "A Survey of Phishing Campaign Trends and the Classification of Detection Techniques," The Transactions of the Korea Information Processing Society, vol. 14, no. 3, pp. 149-160, 2025. DOI: https://doi.org/10.3745/TKIPS.2025.14.3.149.

[ACM Style]

Ji-Hoon Park, Sang-Hoon Choi, and Ki-Woong Park. 2025. A Survey of Phishing Campaign Trends and the Classification of Detection Techniques. The Transactions of the Korea Information Processing Society, 14, 3, (2025), 149-160. DOI: https://doi.org/10.3745/TKIPS.2025.14.3.149.