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GoldPhish: Using Images for Content-Based Phishing Analysis

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3 Author(s)
Dunlop, Matthew ; Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA ; Groat, Stephen ; Shelly, D.

Phishing attacks continue to plague users as attackers develop new ways to fool users into submitting personal information to fraudulent sites. Many schemes claim to protect against phishing sites. Unfortunately, most do not protect against zero-day phishing sites. Those schemes that do allege to provide zero-day protection, often incorrectly label both phishing and legitimate sites. We propose a scheme that protects against zero-day phishing attacks with high accuracy. Our approach captures an image of a page, uses optical character recognition to convert the image to text, then leverages the Google PageRank algorithm to help render a decision on the validity of the site. After testing our tool on 100 legitimate sites and 100 phishing sites, we accurately reported 100% of legitimate sites and 98% of phishing sites.

Published in:

Internet Monitoring and Protection (ICIMP), 2010 Fifth International Conference on

Date of Conference:

9-15 May 2010