document: A hybrid phish detection approach by identity discovery and keywords retrieval Phishing is a significant security threat to the Internet , which causes tremendous economic loss every year . In this paper , we proposed a novel hybrid phish detection method based on information extraction ( IE ) and information retrieval ( IR ) techniques . The identity-based component of our method detects phishing webpages by directly discovering the inconsistency between their identity and the identity they are imitating . The keywords-retrieval component utilizes IR algorithms exploiting the power of search engines to identify phish . Our method requires no training data , no prior knowledge of phishing signatures and specific implementations , and thus is able to adapt quickly to constantly appearing new phishing patterns . Comprehensive experiments over a diverse spectrum of data sources with 11449 pages show that both components have a low false positive rate and the stacked approach achieves a true positive rate of 90.06 % with a false positive rate of 1.95 % .
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