DETECTION OF PHISHING URL BASED ON TEXT FEATURE EXTRACTION
Author(s):
Mayur Kadhane, Abhinav Jagtap, Mahesh Adhav, Harshad Phalak
Keywords:
Search engine, WHOIS, DOM (Document Object Model), TF-IDF (Term Frequency Inverse/Document Frequency)
Abstract
Phishing is a technique of gaining personal information of user’s from various websites. Sometimes it redirects the user to phished webpage to gain information of user like username, password, account and credit card details etc. Our main ambition here is to design system to provide safeguard to users against phishing attacks. Our working mainly focuses on use of terms and URL’s from web page to detect possible phishing patterns from web pages of phishing websites. Process initiates with parsing of web page to extract plain text terms and URL’s. Further detected terms are fed to TF-IDF and URL weighting system to identify importance of each detected term. Later search engine lookup is carried out for most important terms which help to detect possible victim URLs for given input website. Finally WHOIS lookup is used to compare registration details of websites to correctly categorize website as phishing or legitimate
Article Details
Unique Paper ID: 143533

Publication Volume & Issue: Volume 2, Issue 11

Page(s): 417 - 422
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