Malicious script distribution pattern detection technique for image search websites

Abstract

Recently, the number of cases of distributing malicious codes by exploiting homepages that provide an image search continues to increase, and malicious codes distributed through homepages are causing personal information infringement accidents and DDoS attacks. Due to the malware spread through web pages, privacy theft and infringement are getting serious and DoS attacks happen frequently. Distribution patterns of hidden malicious codes on the image search website were collected, and patterns of collected malicious codes and malicious scripts were analyzed. We have analyzed the malicious samples and derived some additional distribution patterns of web-based malware. Similar patterns are grouped together and a representative feature is then extracted from each group. Each category of the malicious samples contains malicious script codes and their variants. We have implemented a system to automatically detect malicious web sites using the malicious script patterns. The proposed malicious script pattern is expected to be available for the zero-day attacks.