A master thesis from Aalborg University
WordAdjust: Et deobfuskerings frontend til content-aware anti-spam værktøjer
[WordAdjust: A Deobfuscation Frontend to Content-Aware Anti-Spam Tools]
Author(s)
Term
2. term
Education
Publication year
2008
Submitted on
2008-06-10
Pages
21 pages
Abstract
In modern world spam has become a great threat for the entire email system. Advanced techniques are constantly being developed by spammers to bypass anti spam tools. This article aims to describe how to counter three of these techniques, namely unicode, scrambling and misspell obfuscation. We introduce WordAdjust - a frontend deobfuscation filter for the state of the art anti spam tool SpamAssassin. This deobfuscation filter is capable of deobfuscating 3 types of obfuscation methods; unicode, scrambling and intentional misspell. The Misspell deobfuscation is based on N-gram fuzzy search techniques. SpamAssassin has a hard time dealing with spam emails that are obfuscated by these 3 methods. Experiments shows how WordAdjust increases the average SpamAssassin score by 56\% on intentional obfuscated spam emails. Further experiments shows how WordAdjust enables SpamAssasin to catch, in average, 10\% of the spam mails that normally would end in the users inbox.
Keywords
obfuscation ; spam ; fuzzy ; obfuskering
Documents
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