Computer Science
a year ago

New method detects disguised malicious JavaScript with 91% accuracy.

TransAST: A Machine Translation-Based Approach for Obfuscated Malicious JavaScript Detection
Yan Qin, Weiping Wang, Zixian Chen, Hong Song, Shigeng Zhang

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The article presents a new method called TransAST for detecting hidden malicious JavaScript on websites. By using a machine translation model, the researchers were able to uncover the hidden structure of obfuscated code, making it easier to identify harmful scripts. The experiment showed that TransAST achieved a high accuracy of 91.35% and a recall rate of 94.57% in detecting malicious JavaScript, outperforming existing methods by a significant margin.