了解垃圾邮件发送者的网络级行为

Anirudh Ramachandran, N. Feamster
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引用次数: 654

摘要

本文研究了垃圾邮件发送者的网络级行为,包括:发送最多垃圾邮件的IP地址范围,常见的垃圾邮件模式(例如,BGP路由劫持,bot),每个垃圾邮件主机的持续时间,以及垃圾邮件僵尸网络的特征。我们试图通过分析在互联网“垃圾邮件坑”收集的超过1000万条垃圾邮件的17个月跟踪来回答这些问题,并将这些数据与基于ip的黑名单查找结果、被动TCP指纹信息、路由信息和僵尸网络“命令和控制”跟踪相关联。我们发现大多数垃圾邮件是从IP地址空间的几个区域发送的,而且垃圾邮件发送者似乎使用临时“机器人”,在很短的时间内只发送几封电子邮件。最后,从与短寿命BGP路由对应的IP地址(通常是被劫持的前缀)接收到的垃圾邮件数量很少,但不可忽略。这些趋势表明,开发识别僵尸网络成员的算法,根据网络级属性(比电子邮件内容变化更小)过滤电子邮件消息,以及提高互联网路由基础设施的安全性,可能对打击垃圾邮件非常有效。
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Understanding the network-level behavior of spammers
This paper studies the network-level behavior of spammers, including: IP address ranges that send the most spam, common spamming modes (e.g., BGP route hijacking, bots), how persistent across time each spamming host is, and characteristics of spamming botnets. We try to answer these questions by analyzing a 17-month trace of over 10 million spam messages collected at an Internet "spam sinkhole", and by correlating this data with the results of IP-based blacklist lookups, passive TCP fingerprinting information, routing information, and botnet "command and control" traces.We find that most spam is being sent from a few regions of IP address space, and that spammers appear to be using transient "bots" that send only a few pieces of email over very short periods of time. Finally, a small, yet non-negligible, amount of spam is received from IP addresses that correspond to short-lived BGP routes, typically for hijacked prefixes. These trends suggest that developing algorithms to identify botnet membership, filtering email messages based on network-level properties (which are less variable than email content), and improving the security of the Internet routing infrastructure, may prove to be extremely effective for combating spam.
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Session details: Wireless Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications Session details: Applications Session details: Measurement Session details: Routing 1
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