"Our approach uses Bayesian classification of hierarchical features of the JavaScript abstract syntax tree to identify syntax elements that are highly predictive of malware. Our extensive experimental evaluation shows that ZOZZLE is able to effectively detect JavaScript malware through mostly static code analysis with very low false positive rates (fractions of 1%), and with a typical overhead of only 2-5 milliseconds per JavaScript file."
Link: Zozzle: Low-overhead Mostly Static JavaScript Malware Detection
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