This repository contains the code for the paper: JSReveler: A Robust Malicious JavaScript Detector against Obfuscation. JSRevealer is a robust, effective, scalable, and interpretable detector for malicious JavaScript. It consists of four components, which are path extraction, path embedding, feature extraction, and classification. First, path extraction parses JavaScript files into ASTs, adds data flow information as enhanced ASTs, and then traverse those enhanced ASTs to obtain the paths. Next, in the path embedding, neural networks and attention mechanisms are used to get the embeddings of the paths, namely path vectors, and the corresponding weights. After that, in the feature extraction stage, outlier detection is performed on those vectors with weights. Then the selected vectors are clustered, and the features are obtained by filtering the clusters. Finally, these features are used for learning and classification.
此处可能存在不合适展示的内容,页面不予展示。您可通过相关编辑功能自查并修改。
如您确认内容无涉及 不当用语 / 纯广告导流 / 暴力 / 低俗色情 / 侵权 / 盗版 / 虚假 / 无价值内容或违法国家有关法律法规的内容,可点击提交进行申诉,我们将尽快为您处理。