Tala Security, Inc.

Andrew Joseph Davidson

Sanjay Sawhney

Somesh Jha

Swapnil Bhalode

Aanand Krishnan

Vaibhav Rastogi

Disclosed herein are enhancements for operating a communication network to detect malware in scripts of web applications. In one implementation, a method for modeling the structure of embedded unclassified scripts to compare the abstract dynamism of similar scripts. The method may determine structure of unclassified end user browser script by building abstract structure using code from unclassified end user browser script; compare determined structure of unclassified end user browser script with a plurality of generalized abstract structures; if the determined structure of unclassified end user browser script matches within a predetermined threshold of any of the plurality of generalized abstract structures, then the unclassified end user browser script is classified as benign, otherwise the determined structure is classified as malicious. This, in turn, provides a scalable and efficient way of identifying benign, malicious, known and unknown scripts from a script available in full or in part.

Method for detecting malicious scripts through modeling of script structure

Techniques to facilitate security for a software application are disclosed herein. In at least one implementation, static analysis is performed on code resources associated with the software application to generate static analysis results. Dynamic analysis is performed on a running instance of the software application to generate dynamic analysis results. An application information model of the software application is generated based on the static analysis results and the dynamic analysis results. Security policies for the software application are determined based on the application information model.

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Dallas, TX, United States of America

Andrew Joseph Davidson