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Hunting for metamorphic JavaScript malware

Original Paper

Abstract

The Internet plays a major role in the propagation of malware. A recent trend is the infection of machines through web pages, often due to malicious code inserted in JavaScript. From the malware writer’s perspective, one potential advantage of JavaScript is that powerful code obfuscation techniques can be applied to evade detection. In this research, we analyze metamorphic JavaScript malware. We compare the effectiveness of several static detection strategies and we quantify the degree of morphing required to defeat each of these techniques.

Keywords

Hide Markov Model Singular Value Decomposition Simple Substitution Dead Code Opcode Sequence 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag France 2014

Authors and Affiliations

  1. 1.Department of Computer ScienceSan Jose State UniversitySan JoseUnited States

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