Attacking logo-based phishing website detectors with adversarial perturbations. (arXiv:2308.09392v2 [cs.CR] UPDATED)

Recent times have witnessed the rise of anti-phishing schemes powered by deep
learning (DL). In particular, logo-based phishing detectors rely on DL models
from Computer Vision to identify logos of well-known brands on webpages, to
detect malicious webpages that imitate a given brand. For instance, Siamese
networks have demonstrated notable performance for these tasks, enabling the
corresponding anti-phishing solutions to detect even "zero-day" phishing
webpages. In this work, we take the next step of studying the robustness of
logo-based phishing …

adversarial anti-phishing brand computer computer vision deep learning detect identify instance logo malicious networks phishing website well-known