Detecting Phishing Websites Based on the Study of the Financial Industry Webserver Logs
Jun Hao Hu, Xiangzhu Zhang, Yuchun Ji, Hanbing Yan, Li Ding, Jia Li, Huiming Meng · 2016
In this paper, we introduce a new phishing detection method, which is based on the analysis of legitimate Website server log information. The idea is based on finding the references. Because of the references, every time the victim opens phishing Website, the phishing Website will refer to the legitimate Website by asking for resources. Then, there is a log, which is recorded by the legal Website server. Through analyzing the logs, we find the phishing Websites. The idea is specific and very targeted. According to our experiments, it is effective and has high accuracy.