http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2014018630-A1

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filingDate 2013-07-24-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_30c3cf41e12b7bcf977d38dd722c11d0
publicationDate 2014-01-30-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber WO-2014018630-A1
titleOfInvention System and method to provide automatic classification of phishing sites
abstract A phishing classification model that detects a phishing website based on one or more feature vectors for the website is provided. The phishing classification model may operate on a server and may further select a website, generate a feature vector for a landing page of the website, create a feature vector for every iframe that is a descendent of the landing page, and derive a final feature vector from the feature vectors of the landing page and the descendent iframe pages. Further, machine learning techniques may be applied to generate, or train, a classification model based upon one or more known phishing websites. Based on the feature vector, the classification modeler may classify a website as either a phishing website or as a non-phishing website. Feedback in the form of human verification may further be incorporated.
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