Behavioral scanning of mobile applications
AssigneeTwitter, Inc.
InventorsNeilkumar Daswani, Ameet Ranadive, Shariq Rizvi, Michael Gagnon, Tufan Demir, Gerry Eisenhaur
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AssigneeTwitter, Inc.
InventorsNeilkumar Daswani, Ameet Ranadive, Shariq Rizvi, Michael Gagnon, Tufan Demir, Gerry Eisenhaur
Estimating the term…
Behavioral analysis of a mobile application is performed to determine whether the application is malicious. During analysis, various user interactions are simulated in an emulated environment to activate many possible resulting behaviors of an application. The behaviors are classified as hard or soft signals. A probability of the application being malicious is determined through combining soft signals, and the application is classified as malicious or non-malicious. Users of the application, the developer of the application, or a distributor of the application are notified of the application classification to enable responsive action.
A computer-implemented method for analyzing mobile applications for malware, the method comprising:
A computer-implemented method for analyzing mobile applications for malware, the method comprising:
A computer system for analyzing mobile applications for malware, the system comprising a non-transitory computer readable medium storing instructions for:
Dependencies are inferred from the claim text.