Exposure: A Passive DNS Analysis Service to Detect and Report Malicious Domains

Leyla Bilge, Sevil Şen, D. Balzarotti, E. Kirda, Christopher Krügel
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引用次数: 283

Abstract

A wide range of malicious activities rely on the domain name service (DNS) to manage their large, distributed networks of infected machines. As a consequence, the monitoring and analysis of DNS queries has recently been proposed as one of the most promising techniques to detect and blacklist domains involved in malicious activities (e.g., phishing, spam, botnets command-and-control, etc.). EXPOSURE is a system we designed to detect such domains in real time, by applying 15 unique features grouped in four categories. We conducted a controlled experiment with a large, real-world dataset consisting of billions of DNS requests. The extremely positive results obtained in the tests convinced us to implement our techniques and deploy it as a free, online service. In this article, we present the Exposure system and describe the results and lessons learned from 17 months of its operation. Over this amount of time, the service detected over 100K malicious domains. The statistics about the time of usage, number of queries, and target IP addresses of each domain are also published on a daily basis on the service Web page.
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暴露:被动的DNS分析服务,用于检测和报告恶意域
广泛的恶意活动依赖于域名服务(DNS)来管理其受感染计算机的大型分布式网络。因此,对DNS查询的监控和分析最近被提议作为最有前途的技术之一,用于检测和黑名单涉及恶意活动的域(例如,网络钓鱼,垃圾邮件,僵尸网络命令和控制等)。EXPOSURE是我们设计的一个系统,通过应用分为四类的15个独特特征来实时检测这些域。我们对一个包含数十亿DNS请求的大型真实数据集进行了对照实验。在测试中获得的非常积极的结果说服我们实施我们的技术,并将其作为免费的在线服务部署。在本文中,我们介绍了Exposure系统,并描述了其运行17个月的结果和经验教训。在这段时间内,该服务检测到超过10万个恶意域。每天还会在服务Web页面上发布每个域的使用时间、查询次数、目标IP地址等统计信息。
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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来源期刊
ACM Transactions on Information and System Security
ACM Transactions on Information and System Security 工程技术-计算机:信息系统
CiteScore
4.50
自引率
0.00%
发文量
0
审稿时长
3.3 months
期刊介绍: ISSEC is a scholarly, scientific journal that publishes original research papers in all areas of information and system security, including technologies, systems, applications, and policies.
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