Detecting malware in mobile sites
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 webpage is performed to determine whether the webpage is malicious. During analysis, the webpage is visited by an emulated mobile device to cause behaviors to occur which may be malicious. The behaviors occurring after accessing the webpage are stored. The behaviors are classified as hard or soft signals. A probability of the webpage being malicious is determined through combining soft signals, and the webpage is classified as malicious or non-malicious. Users of the webpage, the developer of the webpage, or a distributor of the webpage are notified of the webpage classification to enable responsive action.
A computer-implemented method for analyzing webpages for malware, the method comprising:
A computer-implemented method for analyzing webpages for malware, the method comprising:
A computer system for analyzing webpages for malware, the system comprising a non-transitory computer readable medium storing instructions for:
Dependencies are inferred from the claim text.