SYSTEMS AND METHODS FOR DETECTING MALICIOUS MOBILE WEBPAGES
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United States of America Patent
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Issued Date -
Mar 5, 2015
app pub date -
Mar 18, 2014
filing date -
Aug 27, 2013
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Abstract
The disclosed technology includes techniques for identifying malicious mobile electronic documents, e.g., webpages or emails, based on static document features. The static features may include mobile-specific features, such as mobile web API calls, hosted mobile-specific binaries, noscript content, or misleading URL tokens visible on a mobile-specific interface. The static features may instead or also include various JavaScript (JS) features, HTML features, and URL features detected in numbers outside ranges expected for desktop electronic documents. These features may be used with machine learning techniques to classify benign and malicious documents in real time.
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