JSPRE: A Large-Scale Detection of Malicious JavaScript Code Based on Pre-filter

摘要: Malicious web pages that use drive-by-download attacks or social engineering technique have become a popular means for compromising hosts on the Internet. To search malicious pages, researchers developed number of systems analyze presence code. Most these dynamic analysis. That is, tools are quite precise, analysis process is costly. Therefore, performing this large-scale can be prohibitive. In paper, we present JSPRE, an approach to more efficiently likely malicious. JSPRE proposes page collection algorithm based guided crawling, which starts from initial URLs know pages. meanwhile, uses static techniques quickly examine content. We implemented our approach, and evaluated it dataset. The results show able identify when compared crawler-based approaches.