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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Collecting and Filtering Out Phishing Suspicious URLs Using SpamTrap System
verfasst von : Inkyung Jeun, Youngsook Lee, Dongho Won
Erschienen in: Grid and Pervasive Computing
Verlag: Springer Berlin Heidelberg
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Recently, Phishing is a significant security threat to users and has been easy and effective way for trickery and deception on the internet. Phishing is an attempt to acquire our information as well as financial information without user’s knowledge by making similar kind of website or sending e-mails to users. Some of the widely available and used phishing detection techniques include whitelisting, blacklisting, and heuristics. But, absolute and perfect anti-phishing solutions and techniques are hard to fine due to a variability of phishing site domain. This paper aims to collect and filter out phishing suspicious URLs before determine phishing sites using Spamtrap system which is a honeypot used to collect spam e-mail. Spam e-mail usually contain phishing site URLs, so we can collect phishing site URLs from spam e-mail of spamtrap system. After collect URLs that can be phishing sites, many kind of phishing site detection algorithm can be used in our paper.