MPEG-7 Color Descriptors and Their Applications
CAIP '01 Proceedings of the 9th International Conference on Computer Analysis of Images and Patterns
Detection of phishing webpages based on visual similarity
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
You've been warned: an empirical study of the effectiveness of web browser phishing warnings
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Lire: lucene image retrieval: an extensible java CBIR library
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Visual-similarity-based phishing detection
Proceedings of the 4th international conference on Security and privacy in communication netowrks
Detecting visually similar Web pages: Application to phishing detection
ACM Transactions on Internet Technology (TOIT)
F for fake: four studies on how we fall for phish
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Phishing is a severe threat to online users, especially since attackers improve in impersonating other websites [1]. 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.