Fighting unicode-obfuscated spam

Changwei Liu, Sid Stamm
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引用次数: 54

Abstract

In the last few years, obfuscation has been used more and more by spammers to make spam emails bypass filters. The standard method is to use images that look like text, since typical spam filters are unable to parse such messages; this is what is used in so-called "rock phishing". To fight image-based spam, many spam filters use heuristic rules in which emails containing images are flagged, and since not many legit emails are composed mainly of a big image, this aids in detecting image-based spam. The spammers are thus interested in circumventing these methods. Unicode transliteration is a convenient tool for spammers, since it allows a spammer to create a large number of homomorphic clones of the same looking message; since Unicode contains many characters that are unique but appear very similar, spammers can translate a message's characters at random to hide black-listed words in an effort to bypass filters. In order to defend against these unicode-obfuscated spam emails, we developed a prototype tool that can be used with Spam Assassin to block spam obfuscated in this way by mapping polymorphic messages to a common, more homogeneous representation. This representation can then be filtered using traditional methods. We demonstrate the ease with which Unicode polymorphism can be used to circumvent spam filters such as SpamAssassin, and then describe a de-obfuscation technique that can be used to catch messages that have been obfuscated in this fashion.
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打击unicode混淆的垃圾邮件
在过去的几年中,垃圾邮件发送者越来越多地使用混淆来使垃圾邮件绕过过滤器。标准的方法是使用看起来像文本的图像,因为典型的垃圾邮件过滤器无法解析这样的消息;这就是所谓的“岩石网络钓鱼”。为了打击基于图像的垃圾邮件,许多垃圾邮件过滤器使用启发式规则,其中包含图像的电子邮件被标记,并且由于没有多少合法电子邮件主要由大图组成,这有助于检测基于图像的垃圾邮件。因此,垃圾邮件发送者对绕过这些方法很感兴趣。Unicode音译对于垃圾邮件发送者来说是一个方便的工具,因为它允许垃圾邮件发送者创建大量相同外观的消息的同态克隆;由于Unicode包含许多唯一但看起来非常相似的字符,垃圾邮件发送者可以随机翻译消息的字符,以隐藏黑名单上的单词,以绕过过滤器。为了防御这些unicode混淆的垃圾邮件,我们开发了一个原型工具,可以与spam Assassin一起使用,通过将多态消息映射到通用的、更均匀的表示来阻止以这种方式混淆的垃圾邮件。然后可以使用传统方法对这种表示进行过滤。我们将演示如何轻松地使用Unicode多态性来绕过SpamAssassin等垃圾邮件过滤器,然后描述一种去混淆技术,该技术可用于捕获以这种方式进行了混淆的消息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Fighting unicode-obfuscated spam Evaluating a trial deployment of password re-use for phishing prevention Behavioral response to phishing risk Fishing for phishes: applying capture-recapture methods to estimate phishing populations A comparison of machine learning techniques for phishing detection
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