Publication Details

Download

Max Maurer, Dennis Herzner
Using Visual Website Similarity for Phishing Detection and Reporting
CHI '12: Extended Abstracts on Human Factors in Computing Systems. ACM, New York, NY, USA, ISBN 978-1-4503-1016-1. (bib)

Phishing is a severe threat to online users, especially since attackers improve in impersonating other websites. With websites looking visually the same, users are fooled more easily. However, the close visual similarity can also be used to counteract phishing. We present a framework that uses visual website similarity: (1) to detect possible phishing websites and (2) to create better warnings for such attacks. We report first results together with the three step process planned for the project. We expect the detection results to be comparable to previously published work which would allow for new kinds of phishing warnings with better coverage, less false positives and explicit user recommendations how to avoid these critical situation.