The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Sep. 16, 2014
Filed:
Jan. 18, 2006
Geoffrey John Hulten, Lynnwood, WA (US);
Paul Stephen Rehfuss, Seattle, WA (US);
Robert Rounthwaite, Fall City, WA (US);
Joshua Theodore Goodman, Redmond, WA (US);
Gopalakrishnan Seshadrinathan, Redmond, WA (US);
Anthony P. Penta, Bellevue, WA (US);
Manav Mishra, Kirkland, WA (US);
Roderic C. Deyo, Redmond, WA (US);
Elliott Jeb Haber, Fall City, WA (US);
David Aaron Ward Snelling, Everett, WA (US);
Geoffrey John Hulten, Lynnwood, WA (US);
Paul Stephen Rehfuss, Seattle, WA (US);
Robert Rounthwaite, Fall City, WA (US);
Joshua Theodore Goodman, Redmond, WA (US);
Gopalakrishnan Seshadrinathan, Redmond, WA (US);
Anthony P. Penta, Bellevue, WA (US);
Manav Mishra, Kirkland, WA (US);
Roderic C. Deyo, Redmond, WA (US);
Elliott Jeb Haber, Fall City, WA (US);
David Aaron Ward Snelling, Everett, WA (US);
Microsoft Corporation, Redmond, WA (US);
Abstract
Described is a technology by which phishing-related data sources are processed into aggregated data and a given site evaluated the aggregated data using a predictive model to automatically determine whether the given site is likely to be a phishing site. The predictive model may be built using machine learning based on training data, e.g., including known phishing sites and/or known non-phishing sites. To determine whether an object corresponding to a site is likely a phishing-related object are described, various criteria are evaluated, including one or more features of the object when evaluated. The determination is output in some way, e.g., made available to a reputation service, used to block access to a site or warn a user before allowing access, and/or used to assist a hand grader in being more efficient in evaluating sites.