Clustering Potential Phishing Websites Using DeepMD5

Provided by: University of Alabama
Topic: Security
Format: PDF
Phishing websites attempt to deceive people to expose their passwords, user IDs and other sensitive information by mimicking legitimate websites such as banks, product vendors, and service providers. Phishing websites are a pervasive and ongoing problem. Examining and analyzing a phishing website is a good first step in an investigation. Examining and analyzing phishing websites can be a manually intensive job and analyzing a large continuous feed of phishing websites manually would be an almost insurmountable problem because of the amount of time and labor required. Automated methods need to be created that group large volumes of phishing website data and allow investigators to focus their investigative efforts on the largest phishing website groupings that represent the most prevalent phishing groups or individuals.

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