System and method for identifying a phishing website

Active Publication Date: 2013-06-18
UAB RES FOUND
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Fraudulent emails have become a pernicious force, capturing the attention of the media, corporate executives, legislators, and consumers, and costing corporate institutions millions in information technology (“IT”) resources.
Email fraud ranges from rudimentary attraction scams to more complex attempts to perpetrate online identity theft or misrepresent the brand of an established corporate entity, such as a financial institution.
Spoofing emails include deceptive content in the body of the message, fraudulently using the spoofed company's logo and/or using convincing text that seems to be legitimate.
However, spoofing is usually not the end-goal of perpetrators of fraud.
This fraudulent site might include instructions or forms that entice a consumer to provide bank accounts, add

Method used

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  • System and method for identifying a phishing website
  • System and method for identifying a phishing website
  • System and method for identifying a phishing website

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Embodiment Construction

[0017]Referring to FIG. 1, the system 10 is constructed to run on a computer system, such as a computer server, having a modern operating system like Microsoft Windows or a variant of UNIX such as Linux. The present system is currently compiled to run on a Linux OS derivative, Cent OS, offered by Red Hat. Database functionality is provided by PostgreSQL, which is a powerful, open source object-relational database system. PERL is currently used in the system to control communications through the Internet and to parse received e-mails. While the interpretive language PERL is currently used by the inventors, it is anticipated that a compiled language such as C would ultimately implement the features of the system.

[0018]Upon initiation 11 the system 10 receives 13 a string of supplied urls 12 and parses them 13 into a text file having a separate url on each line. The urls 12 are provided by a variety of sources such as an anti-spam company, an anti-phishing company, a “shut-down” company,

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Abstract

A system and method for enhancing spam avoidance efficiency by automatically identifying a phishing website without human intervention. The system receives a stream of suspect Internet urls for potential phishing websites and uses a comparison strategy to determine whether the potential phishing website has already be labeled as a bonefid phishing website. A comparison system is utilized in which similarity data is calculated on various elements of the potential phishing website and then compared to similarity data of known phishing websites. Various types of categorization structures and notification strategies are utilized in the system.

Description

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Claims

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Application Information

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Owner UAB RES FOUND
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