The Novel Features for Phishing Based on User Device Detection

Recent years the rapid developments of technology, Internet services are gradually depending on the environment to be able to provide different services. Due to the rise of mobile devices, in order to provide the most appropriate service to the users, in addition to desktop websites, the most popular sites are beginning to build a websites for mobile devices exclusive service users at the same time. However, phishing website, the phishers will not necessarily build two kinds of websites at the same time. In this paper, we propose the new phishing features through detect device according the situation. In the experiment, we through the transfer user agent of desktop and mobile to connect, and use SVM to classify, from the result, we find there are the mechanisms in most popular websites, but in phishing websites, the number of this mechanism is rarely.

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