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Web crawler systems and methods to efficiently detect malicious sites

机译:Web履带系统和有效检测恶意站点的方法

摘要

Systems and methods include receiving a list of web sites; anonymously browsing to each web site in the list; receiving a response based on the browsing; and analyzing the response to classify each web site as malicious or not based on a plurality of techniques including JavaScript (JS) obfuscation detection based on de-obfuscation. The systems and methods can further include providing a blacklist of web sites classified as malicious. The systems and methods can further include determining the list of web sites periodically based on a plurality of factors. The JS obfuscation detection can be performed by de-obfuscating JS content and utilizing heuristics to determine if the de-obfuscated JS content is malicious, and the heuristics can include a presence of any of a new JS function and a domain in the de-obfuscated JS content.
机译:系统和方法包括接收网站列表;匿名浏览列表中的每个网站;根据浏览接收响应;并分析响应将每个Web站点分类为恶意或基于包括基于去混淆的JavaScript(JS)混淆检测的多种技术。系统和方法还可以包括提供归类为恶意的网站的黑名单。系统和方法还可以包括周期性地基于多个因素确定网站列表。 JS混淆检测可以通过去拆卸JS内容并利用启发式来执行,以确定解除拆除的JS内容是否是恶意的,并且启发式可以包括任何新的JS函数和域中的域中的存在JS内容。

著录项

  • 公开/公告号US2021105289A1

    专利类型

  • 公开/公告日2021-04-08

    原文格式PDF

  • 申请/专利权人 ZSCALER INC.;

    申请/专利号US201916686294

  • 发明设计人 DEEPEN DESAI;DHRUVAL GANDHI;SACHIN MATTE;

    申请日2019-11-18

  • 分类号H04L29/06;G06F16/958;

  • 国家 US

  • 入库时间 2022-08-24 17:23:50

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