In a phishing attack, a perpetrator attempts to obtain the online credentials of a user by impersonating a trusted entity such as a bank, email service provider, etc. Sophisticated phishers attempt to deceive spam filters by structuring the visual look-and-feel of their fake emails to be nearly but not precisely identical to emails sent by a trusted entity, such that spam filters allow the fake email to reach a user’s inbox.
This disclosure describes use of hand-crafted visual features of emails or landing pages, and classification based on earth-mover’s distance, to assess the visual similarity of genuine and phished emails. The techniques detect visual near-duplicates of a trusted entity’s email and thereby achieve resilience against phishing attacks.
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Sengupta, Kuntal and Eranti, Vijay, "Handcrafting visual features of emails or landing pages to detect phishing", Technical Disclosure Commons, (December 28, 2018)