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Automated agent detection using multiple factors

  • US 9,985,943 B1
  • Filed: 12/18/2013
  • Issued: 05/29/2018
  • Est. Priority Date: 12/18/2013
  • Status: Active Grant
First Claim
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1. A computer-implemented method for telling humans and bots apart, comprising:

  • receiving, over a network, one or more requests by a requestor to access one or more resources associated with an online retailer;

    calculating a score for a particular request of the one or more requests, where the score corresponds to a probability of the requestor of the particular request being an automated agent;

    redirecting the particular request to a CAPTCHA service based at least in part on the calculated score for the particular request, where the calculated score is compared to a threshold value and the particular request is redirected if the calculated score is equal to or greater than the threshold value;

    generating a security check based at least in part on a user and a user account associated with the particular request, where the security check is configured to distinguish human operators from automated agents;

    identifying, based at least in part on the user account associated with the particular request, a device associated with the user;

    transmitting the security check to the device;

    receiving a response to the security check from the device; and

    determining to allow access to the resource based at least in part on the received response.

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