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Phishing is a major problem on the Web. Despite the significant attention ithas received over the years, there has been no definitive solution. While thestate-of-the-art solutions have reasonably good performance, they require alarge amount of training data and are not adept at detecting phishing attacksagainst new targets. In this paper, we begin with two core observations: (a)although phishers try to make a phishing webpage look similar to its target,they do not have unlimited freedom in structuring the phishing webpage; and (b)a webpage can be characterized by a small set of key terms; how these key termsare used in different parts of a webpage is different in the case of legitimateand phishing webpages. Based on these observations, we develop a phishingdetection system with several notable properties: it is language-independent,can be implemented entirely on client-side, has excellent classificationperformance and is fast. In addition, we developed a target identificationcomponent that can identify the target website that a phishing webpage isattempting to mimic. The target detection component is faster than previouslyreported systems and can help minimize false positives in our phishingdetection system.

Know Your Phish: Novel Techniques for Detecting Phishing Sites and their Targets