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Evaluating the Wisdom of Crowds in Assessing Phishing Websites
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Evaluating the Wisdom of Crowds in Assessing Phishing Websites
Tyler Moore1 and Richard Clayton1 
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Computer Laboratory, University of Cambridge, 15 JJ Thomson Avenue, Cambridge, CB3 0FD, United Kingdom |
Abstract
We examine the structure and outcomes of user participation in PhishTank, a phishing-report collator. Anyone who wishes may
submit URLs of suspected phishing websites, and may vote on the accuracy of other submissions. We find that PhishTank is dominated
by its most active users, and that participation follows a power-law distribution, and that this makes it particularly susceptible
to manipulation. We compare PhishTank with a proprietary source of reports, finding PhishTank to be slightly less complete
and significantly slower in reaching decisions. We also evaluate the accuracy of PhishTank’s decisions and discuss cases where
incorrect information has propagated. We find that users who participate less often are far more likely to make mistakes,
and furthermore that users who commit many errors tend to have voted on the same URLs. Finally, we explain how the structure
of participation in PhishTank leaves it susceptible to large-scale voting fraud which could undermine its credibility. We
also discuss general lessons for leveraging the ‘wisdom of crowds’ in taking security decisions by mass participation.
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