Detection of phishing webpages based on visual similarity

  • Authors:
  • Liu Wenyin;Guanglin Huang;Liu Xiaoyue;Zhang Min;Xiaotie Deng

  • Affiliations:
  • City University of Hong Kong, Hong Kong;City University of Hong Kong, Hong Kong;City University of Hong Kong, Hong Kong;City University of Hong Kong, Hong Kong and Tsinghua University, Beijing;City University of Hong Kong, Hong Kong

  • Venue:
  • WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
  • Year:
  • 2005

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Abstract

An approach to detection of phishing webpages based on visual similarity is proposed, which can be utilized as a part of an enterprise solution for anti-phishing. A legitimate webpage owner can use this approach to search the Web for suspicious webpages which are visually similar to the true webpage. A webpage is reported as a phishing suspect if the visual similarity is higher than its corresponding preset threshold. Preliminary experiments show that the approach can successfully detect those phishing webpages for online use.