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The Underground Economy of Fake Antivirus Software

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Author Info

  • Steigerwald, Douglas
  • Vigna, Giovanni
  • Kruegel, Christopher
  • Kemmerer, Richard
  • Abman, Ryan
  • Stone-Gross, Brett

Abstract

Fake antivirus (AV) programs have been utilized to defraud millions ofcomputer users into paying as much as one hundred dollars for a phony softwarelicense. As a result, fake AV software has evolved into one of the most lucrativecriminal operations on the Internet. In this paper, we examine the operations of threelarge-scale fake AV businesses, lasting from three months to more than two years.More precisely, we present the results of our analysis on a trove of data obtainedfrom several backend servers that the cybercriminals used to drive their scam operations.Our investigations reveal that these three fake AV businesses had earned acombined revenue of more than $130 million dollars. A particular focus of our analysisis on the financial and economic aspects of the scam, which involves legitimatecredit card networks as well as more dubious payment processors. In particular, wepresent an economic model that demonstrates that fake AV companies are activelymonitoring the refunds (chargebacks) that customers demand from their credit cardproviders. When the number of chargebacks increases in a short interval, the fakeAV companies react to customer complaints by granting more refunds. This lowersthe rate of chargebacks and ensures that a fake AV company can stay in businessfor a longer period of time. However, this behavior also leads to unusual patternsin chargebacks, which can potentially be leveraged by vigilant payment processorsand credit card companies to identify and ban fraudulent firms.

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Bibliographic Info

Paper provided by Department of Economics, UC Santa Barbara in its series University of California at Santa Barbara, Economics Working Paper Series with number qt7p07k0zr.

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Date of creation: 01 Jun 2011
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Handle: RePEc:cdl:ucsbec:qt7p07k0zr

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Related research

Keywords: Social and Behavioral Sciences; cheating; computer security; fraud detection;

This paper has been announced in the following NEP Reports:

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