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Monitoring the initial DNS behavior of malicious domains

Published: 02 November 2011 Publication History

Abstract

Attackers often use URLs to advertise scams or propagate malware. Because the reputation of a domain can be used to identify malicious behavior, miscreants often register these domains "just in time" before an attack. This paper explores the DNS behavior of attack domains, as identified by appearance in a spam trap, shortly after the domains were registered. We explore the behavioral properties of these domains from two perspectives: (1) the DNS infrastructure associated with the domain, as is observable from the resource records; and (2) the DNS lookup patterns from networks who are looking up the domains initially. Our analysis yields many findings that may ultimately be useful for early detection of malicious domains. By monitoring the infrastructure for these malicious domains, we find that about 55% of scam domains occur in attacks at least one day after registration, suggesting the potential for early discovery of malicious domains, solely based on properties of the DNS infrastructure that resolves those domains. We also find that there are a few regions of IP address space that host name servers and other types of servers for only malicious domains. Malicious domains have resource records that are distributed more widely across IP address space, and they are more quickly looked up by a variety of different networks. We also identify a set of "tainted" ASes that are used heavily by bad domains to host resource records. The features we observe are often evident before any attack even takes place; ultimately, they might serve as the basis for a DNS-based early warning system for attacks.

References

[1]
M. Antonakakis, D. Dagon, X. Luo, R. Perdisci, W. Lee, and J. Bellmor. A Centralized Monitoring Infrastructure for Improving DNS Security. In Proc. 13th International Symposium on Recent Advances in Intrusion Detection (RAID), Ottawa, Ontario, Canada, Sept. 2010.
[2]
M. Antonakakis, R. Perdisci, D. Dagon, W. Lee, and N. Feamster. Building a Dynamic Reputation System for DNS. In Proc. 19th USENIX Security Symposium, Washington, DC, Aug. 2010.
[3]
M. Antonakakis, R. Perdisci, W. Lee, N. V. II, and D. Dagon. Detecting Malware Domains at the Upper DNS Hierarchy. In Proc. 20th USENIX Security Symposium, San Francisco, CA, Aug. 2011.
[4]
L. Bilge, E. Kirda, C. Kruegel, and M. Balduzzi. EXPOSURE: Finding Malicious Domains Using Passive DNS Analysis. In Proc. 18th Annual Network and Distributed System Security Symposium (NDSS), San Diego, CA, Feb. 2011.
[5]
A. Broido, E. Nemeth, and K. Claffy. Spectroscopy of DNS Update Traffic. ACM SIGMETRICS Performance Evaluation Review, 31(1):321, June 2003.
[6]
N. Brownlee, K. Claffy, and E. Nemeth. DNS Measurements at a Root Server. In Proc. IEEE Conference on Global Communications (GlobeCom), San Antonio, TX, Nov. 2001.
[7]
S. Castro, D. Wessels, M. Fomenkov, and K. Claffy. A Day at the Root of the Internet. ACM SIGCOMM Computer Communication Review, 38(5):41--46, Oct. 2008.
[8]
P. Danzig, K. Obraczka, and A. Kumar. An Analysis of Wide-Area Name Server Traffic: A Study of the Internet Domain Name System. ACM SIGCOMM Computer Communication Review, 22(4):292, Oct. 1992.
[9]
M. Felegyhazi, C. Kreibich, and V. Paxson. On the Potential of Proactive Domain Blacklisting. In Proc. 3rd USENIX Workshop on Large-Scale Exploits and Emergent Threats (LEET), San Jose, CA, Apr. 2010.
[10]
T. Holz, C. Gorecki, K. Rieck, and F. C. Freiling. Measuring and Detecting Fast-Flux Service Networks. In Proc. 16th Annual Network and Distributed System Security Symposium (NDSS), San Diego, CA, Feb. 2008.
[11]
J. Jung, E. Sit, H. Balakrishnan, and R. Morris. DNS Performance and the Effectiveness of Caching. In Proc. ACM SIGCOMM Internet Measurement Workshop, San Fransisco, CA, Nov. 2001.
[12]
M. Konte, N. Feamster, and J. Jung. Dynamics of Online Scam Hosting Infrastructure. In Proc. Passive and Active Measurement (PAM), Seoul, South Korea, Apr. 2009.
[13]
C. Kreibich, C. Kanich, K. Levchenko, B. Enright, G. M. Voelker, V. Paxson, and S. Savage. Spamcraft: An Inside Look At Spam Campaign Orchestration. In Proc. 2nd USENIX Workshop on Large-Scale Exploits and Emergent Threats (LEET), Boston, MA, Apr. 2009.
[14]
PlanetLab. http://www.planet-lab.org/.
[15]
Spamhaus. http://www.spamhaus.org/.
[16]
Domain Name Industry Brief. http://www.verisigninc.com/DNIB, 2011.
[17]
J. M. Spring, L. B. Metcalf, and E. Stoner. Correlating Domain Registrations and DNS First Activity in General and for Malware. In Proc. Securing and Trusting Internet Names (SATIN), Teddington, United Kingdom, Apr. 2011.
[18]
J. Zupan. Clustering of Large Data Sets. John Wiley and Sons, Ltd., 1982.

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cover image ACM Conferences
IMC '11: Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference
November 2011
612 pages
ISBN:9781450310130
DOI:10.1145/2068816
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 02 November 2011

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Author Tags

  1. DNS
  2. domain registration
  3. malicious domain
  4. spam

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IMC '11
IMC '11: Internet Measurement Conference
November 2 - 4, 2011
Berlin, Germany

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Overall Acceptance Rate 277 of 1,083 submissions, 26%

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  • (2024)Dom-BERT: Detecting Malicious Domains with Pre-training ModelPassive and Active Measurement10.1007/978-3-031-56249-5_6(133-158)Online publication date: 20-Mar-2024
  • (2023)Malicious Domain Detection Based on Decision TreeIEICE Transactions on Information and Systems10.1587/transinf.2022OFL0002E106.D:9(1490-1494)Online publication date: 1-Sep-2023
  • (2023)Enterprise DNS Asset Mapping and Cyber-Health Tracking via Passive Traffic AnalysisIEEE Transactions on Network and Service Management10.1109/TNSM.2022.322198120:3(3699-3716)Online publication date: Sep-2023
  • (2022)View from Above: Exploring the Malware Ecosystem from the Upper DNS HierarchyProceedings of the 38th Annual Computer Security Applications Conference10.1145/3564625.3564646(240-250)Online publication date: 5-Dec-2022
  • (2022)Automatic Detection of DGA-Enabled Malware Using SDN and Traffic Behavioral ModelingIEEE Transactions on Network Science and Engineering10.1109/TNSE.2022.31735919:4(2922-2939)Online publication date: 1-Jul-2022
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  • (2022)A deep dive into DNS behavior and query failuresComputer Networks10.1016/j.comnet.2022.109131(109131)Online publication date: Jun-2022
  • (2021)PremadomaDigital Threats: Research and Practice10.1145/34194762:1(1-24)Online publication date: 22-Jan-2021
  • (2021)Identifying DNS Exfiltration based on Lexical Attributes of Query Name2021 International Joint Conference on Neural Networks (IJCNN)10.1109/IJCNN52387.2021.9534276(1-7)Online publication date: 18-Jul-2021
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