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Detecting fraudulent activity by analysis of information requests

  • US 7,984,500 B1
  • Filed: 10/05/2006
  • Issued: 07/19/2011
  • Est. Priority Date: 10/05/2006
  • Status: Expired due to Fees
First Claim
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1. A method for a computing system of an online merchant to automatically inhibit attempts by phishers to fraudulently obtain access to information about customers of the online merchant, the method comprising:

  • receiving a request from a Web browser of a customer of the online merchant for information that is available from a Web site of the online merchant, the request being initiated based on selection by the customer of a link on a Web page that is provided by a third-party entity unaffiliated with the online merchant, the received request including information about the Web page provided by the third-party entity, the third-party entity being a phisher providing a fraudulent Web site with one or more Web pages intended to replicate portions of the Web site of the online merchant, and wherein the phisher directs customers of the online merchant to the fraudulent Web site via electronic communications sent to the customers, wherein the Web page with the link selected by the customer is one of the one or more Web pages of the fraudulent Web site, wherein the fraudulent Web site does not replicate all of the Web site of the online merchant, and wherein the selected link indicates a Web page from the Web site of the online merchant that is not replicated on the fraudulent Web site, so that customers interacting with the fraudulent Web site may use the link to switch to interacting with the Web site of the online merchant without realizing that the fraudulent Web site is not part of the Web site of the online merchant;

    automatically analyzing the information about the Web page provided by the third-party entity that is included in the request in order to determine whether inclusion of the link on that Web page is likely to reflect fraudulent activities by the third-party entity that include phishing for information about the customers of the online merchant, the analyzing including applying multiple fraud assessment tests to the included information about the Web page and computing a fraud assessment score for the Web page based on the applied fraud assessment tests;

    automatically determining that the third-party entity is likely to be a phisher engaged in fraudulent activities based at least in part on the computed fraud assessment score exceeding a predetermined fraudulence threshold; and

    in response to the determination that the third-party entity is likely to be a phisher, automatically taking one or more actions to inhibit additional fraudulent activities by the third-party entity.

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