System and method to provide automatic classification of phishing sites
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United States of America Patent
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Mar 8, 2016
Grant Date -
Jan 30, 2014
app pub date -
Jul 24, 2013
filing date -
Jul 24, 2012
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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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