Paper 2026/1501

Phishing in the Noise: Analysis of CT-based Phishing Detection Performance on Free Hosting Platforms

Maksymilian Nowak, Warsaw University of Technology
Wojciech Mazurczyk, Warsaw University of Technology, IDEAS Research Institute
Ewa Syta, Trinity College Hartford
Abstract

Free Hosting Platforms (FHPs) let users publish websites with minimal cost and configuration, but the same provider-managed infrastructure can also be used to host phishing websites. We study how this setting affects Certificate Transparency (CT)-based phishing detection by analyzing X.509, CT, and URL features across FHP phishing, FHP benign, non-FHP phishing, and popular benign websites. Reflecting the shared and wildcard certificate practices common in this setting, we analyze the certificate-level and domain-level data separately. Our measurement study shows that many apparent phishing indicators instead reflect hosting-provider characteristics: in our domain-level correlation analysis, hosting-platform status is more strongly associated with the extracted X.509, CT, and URL features than phishing status is, with the strongest FHP-associated feature (subdomain levels, $\eta=0.54$) exceeding the strongest phishing-associated feature (certificate validity period, $\eta=0.31$). We further evaluate two representative CT-based phishing detection frameworks on FHP-only data and discover that provider-managed infrastructure creates challenges for applying them directly. These findings show the need for future work on CT-based phishing detection methods that account for this deployment setting, especially as AI tools lower the effort required to create convincing phishing websites at scale.

Metadata
Available format(s)
PDF
Category
Applications
Publication info
Preprint.
Keywords
phishingweb application security
Contact author(s)
maksymilian nowak2 stud @ pw edu pl
wojciech mazurczyk @ pw edu pl
ewa syta @ trincoll edu
History
2026-07-25: approved
2026-07-22: received
See all versions
Short URL
https://ia.cr/2026/1501
License
Creative Commons Attribution
CC BY

BibTeX

@misc{cryptoeprint:2026/1501,
      author = {Maksymilian Nowak and Wojciech Mazurczyk and Ewa Syta},
      title = {Phishing in the Noise: Analysis of {CT}-based Phishing Detection Performance on Free Hosting Platforms},
      howpublished = {Cryptology {ePrint} Archive, Paper 2026/1501},
      year = {2026},
      url = {https://eprint.iacr.org/2026/1501}
}
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