Bank of America Corporation

Martin Andrew Sutton

Peter George Kurrasch

A system for detecting phishing websites accesses a website that comprises a plurality of images. The system extracts the plurality of images from the website. The system generates a hash value for each image from the plurality of images. Each hash value uniquely identifies its corresponding image. The system generates a first overall hash value for the website by hashing the generated hash values. The first overall hash value represents a signature of the website. The system compares the first overall hash value with a second overall hash value that is associated with a phishing website. The system determines whether the first overall hash value corresponds to the second overall hash value. If it is determined that the first overall hash value corresponds to the second overall hash value, the system determines that the website is associated with the phishing website.

Information security system and method for phishing website identification based on image hashing

A system for phishing website classification accesses a first website that is known to be a phishing website. The system extracts images from the first website, and generates a hash value for each image. The system generates a first overall hash value for the website by hashing the hash values. The system accesses a list of plurality of phishing websites, each is associated with a different overall hash value from among a plurality of overall hash values. The system compares the first overall hash value with a second overall hash value associated with a particular phishing website. The system determines whether the first overall hash value corresponds to the second overall hash value. If it is determined that the first overall hash value corresponds to the second overall hash value, the system classifies the first website to a phishing website class that the particular phishing website belongs.

Information security system and method for phishing website classification based on image hashing

A system for detecting phishing websites accesses a website that comprises a plurality of images. The system extracts the plurality of images from the website. The system generates a hash value for each image from the plurality of images. Each hash value uniquely identifies its corresponding image. The system generates a first overall hash value for the website by hashing the generated hash values. The first overall hash value represents a signature of the website. the system compares the first overall hash value with a second overall hash value that is associated with a phishing website. The system determines whether the first overall hash value corresponds to the second overall hash value. If it is determined that the first overall hash value corresponds to the second overall hash value, the system determines that the website is associated with the phishing website.

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Flintshire, United Kingdom

Martin Andrew Sutton