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Behavioral scanning of mobile applications

  • US 8,806,647 B1
  • Filed: 04/27/2012
  • Issued: 08/12/2014
  • Est. Priority Date: 04/25/2011
  • Status: Active Grant
First Claim
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1. A computer-implemented method for analyzing mobile applications for malware, the method comprising:

  • receiving a mobile application from an application server;

    loading the mobile application into an emulated environment, the emulated environment simulating a mobile device;

    performing static analysis on the application to determine a plurality of simulated user inputs;

    loading a user interface exerciser configured to simulate the plurality of simulated user inputs in the mobile application and observing resulting behaviors of the simulated mobile device;

    classifying the behaviors as hard signals or soft signals and combining soft signals to calculate a probability of maliciousness; and

    classifying the mobile application as malicious or non-malicious based on the hard signals and the probability of maliciousness.

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