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InfoResearchPeer-reviewed
Toward Reliable Malicious JavaScript Detection in Obfuscated Code
- Published
- Record updated
Summary
Researchers study how code obfuscation affects static analysis methods for detecting malicious JavaScript. They find existing detectors fail against medium-strength obfuscation and propose SeGra, which uses data flow features, random walks and sequence conversion of graph structure. SeGra reaches 99.5% accuracy on medium-strength obfuscated code and 70.4% on low-strength code, with 67.1% on high-strength code after learning from low-strength samples.