DocumentCode
2532586
Title
GoldPhish: Using Images for Content-Based Phishing Analysis
Author
Dunlop, Matthew ; Groat, Stephen ; Shelly, David
Author_Institution
Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
fYear
2010
fDate
9-15 May 2010
Firstpage
123
Lastpage
128
Abstract
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.
Keywords
computer crime; content-based retrieval; optical character recognition; unsolicited e-mail; GoldPhish; Google PageRank algorithm; content-based phishing analysis; legitimate sites; optical character recognition; zero-day phishing sites; Alzheimer´s disease; Cardiology; Chemical technology; Clinical diagnosis; Control engineering; Control engineering computing; Dementia; Hospitals; Image analysis; System testing; Anti-phishing; OCR; Toolbar; Zero-day;
fLanguage
English
Publisher
ieee
Conference_Titel
Internet Monitoring and Protection (ICIMP), 2010 Fifth International Conference on
Conference_Location
Barcelona
Print_ISBN
978-1-4244-6726-6
Type
conf
DOI
10.1109/ICIMP.2010.24
Filename
5476864
Link To Document