System and method of detecting malicious elements of web page

Disclosed are system and method for detecting anomalous or malicious elements of a web page. One exemplary method comprises: obtaining data about elements of a tested web page; generating at least oneN-dimensional vector characterizing elements of the tested web page; retrieving a statistical model of known malicious web page elements; comparing the at least one N-dimensional vector with clustersof the statistical model of known malicious web page elements, by measuring the distance of the N-dimensional vector of the element and centers of all clusters of the statistical model; and identifying at least one malicious element of the tested web page based on results of the comparison. 本发明公开了用于检测网页的异常元素或恶意元素的系统和方法。种示例性方法包括：获得关于被测网页的元素的数据；生成表征所述被测网页的元素的至少个N维矢量；检索已知恶意网页元素的统计模型；通过测量所述元素的所述N维矢量与所述统计模型的所有集群的中心的距离，将所述至少个N维矢量与已知恶意网页元素的所述统计模型的集群相比较；以及基于所述比较的结果识别所述被测网页的至少个恶意元素。