Understanding the Domain Registration Behavior of Spammers Shuang - - PowerPoint PPT Presentation

understanding the domain registration behavior of spammers
SMART_READER_LITE
LIVE PREVIEW

Understanding the Domain Registration Behavior of Spammers Shuang - - PowerPoint PPT Presentation

Understanding the Domain Registration Behavior of Spammers Shuang Hao, Matthew Thomas, Vern Paxson, Nick Feamster, Christian Kreibich, Chris Grier, Scott Hollenbeck Overview Domain Abuse Domain names represent valuable Internet resources


slide-1
SLIDE 1

Understanding the Domain Registration Behavior of Spammers

Shuang Hao, Matthew Thomas, Vern Paxson, Nick Feamster, Christian Kreibich, Chris Grier, Scott Hollenbeck

slide-2
SLIDE 2

2 ¡

  • Domain names represent valuable Internet resources
  • Domain abuse

– Spam contains URLs leading to scam sites

  • Top-level domain name: com
  • Second-level domain name: bad-domain.com
  • Host name: www.bad-domain.com

Overview

Domain Abuse

Hello, By visiting this site you can decide any watch that you like http://www.bad-domain.com/qjkx

scam site

slide-3
SLIDE 3

3 ¡

  • More agile and reliable for attacks

– Domain space is very big – Domain cost is small – Not easy to detect

Overview

Spammers Exploit Domains

slide-4
SLIDE 4

4 ¡

Overview

Motivation: Early Detection

Attack (Spamming) Post-attack Domain registration

– Most research focuses on activities after spam is sent – Ultimate goal: Detect spammer domains at time-of- registration rather than later at time-of-use

Spam content filtering IP blacklisting URL crawling DNS traffic analysis etc.

Problem: Window left for spam dissemination and monetization

Pre-attack

slide-5
SLIDE 5

5 ¡

  • Motivation
  • Registration Process and Data Collection
  • DNS Infrastructure Used for Spammer Domains
  • Detecting Registration Spikes
  • Domain Life-cycle Role Analysis
  • Summary

Outline

Talk Outline

slide-6
SLIDE 6

6 ¡

Background

Domain Registration Process

Database Top-level nameservers

Update

Registry (e.g., Verisign)

manages registration database

Registrar (e.g., GoDaddy) brokers registrations Registrant

slide-7
SLIDE 7

7 ¡

Background

Life Cycle Chart

Active (1-10 years) Auto-Renew Grace

(45 days)

Redemption Grace

(30 days)

Pending Delete (5 days)

Available Available

Re-registration Renew

slide-8
SLIDE 8

8 ¡

Background

Data Collection

What domains newly registered in .com zone Whether the domains were used in spamming activities after registration 1

Attack (Spamming) Post-attack Pre-attack Domain registration

2

slide-9
SLIDE 9

9 ¡

  • Verisign .com domain registrations over 5 months

– 12,824,401 new .com domains during March – July, 2012 – Epoch: Zone file updates every 5 minutes – Registration information

  • Registrars
  • Nameservers
  • Registration history
  • Spammer domains

– 134,455 new .com domains were blacklisted later – Spam trap, URIBL, and SURBL during March – October, 2012 (8 months)

Background

Data Statistics

1 2

slide-10
SLIDE 10

10 ¡

  • Motivation
  • Registration Process and Data Collection
  • DNS Infrastructure Used for Spammer Domains

– Registrars and Authoritative Nameservers

  • Detecting Registration Spikes
  • Domain Life-cycle Role Analysis
  • Conclusion

Outline

Talk Outline

slide-11
SLIDE 11

11 ¡

Infrastructure

Registrars Hosting Spammer Domains

Registrar Spam %

1 eNom, Inc.

27.03%

2 Moniker Online Services, Inc.

19.01%

3 Tucows.com Co.

4.47%

8 OnlineNIC, Inc.

2.13%

9 Center of Ukrainian Internet Names

2.07%

10 Register.com, Inc.

1.89%

  • Confirmation*: A handful of registrars account for the

majority of spammer domains

  • Question: What registrars do spammers choose to

register domains?

The registrars ranked by the percentages of spammer domains

Spammer domains All domains added to the zone

70% 20%

*Levchenko, ¡K. ¡et ¡al. ¡Click ¡Trajectories: ¡End-­‑to-­‑End ¡Analysis ¡of ¡the ¡Spam ¡Value ¡Chain. ¡ ¡ ¡

¡ ¡ ¡In ¡Proceedings ¡of ¡the ¡IEEE ¡Symposium ¡and ¡Security ¡and ¡Privacy, ¡2011 ¡

slide-12
SLIDE 12

12 ¡

10 100 1000 10^4 10^5 10^6 10^7 10 100 1000 10^4 10^5 10^6 10^7

Non−spammer domain counts (log scale) Spammer domain counts (log scale)

Moniker Online Services, Inc. GoDaddy.com, LLC ABSystems Inc INTERNET.bs Corp. Tucows.com Co. Bizcn.com, Inc. Trunkoz Technologies Pvt Ltd. d/b/a OwnRegistrar.com OnlineNIC, Inc. eNom, Inc. Center of Ukrainian Internet Names PDR

  • Ltd. d/b/a

PublicDomainRegistry.com Register.com, Inc.

Infrastructure

Spam Proportions on Registrars

  • Question: Do registrars only host spammer domains?
  • Finding:

Spammer primarily use popular registrars

slide-13
SLIDE 13

13 ¡

Infrastructure

Authoritative Nameservers

  • Question: Do spammers use particular nameservers?
  • Finding: Spammers often use the nameservers provided

by the registrars Example DNS server hosting the greatest number of spammer domains ns1.monikerdns.net But 99.77% of all domains were registered through the same registrar Moniker Online Services, Inc

slide-14
SLIDE 14

14 ¡

  • Motivation
  • Registration Process and Data Collection
  • DNS Infrastructure Used for Spammer Domains
  • Detecting Registration Spikes
  • Domain Life-cycle Role Analysis
  • Summary

Outline

Talk Outline

slide-15
SLIDE 15

15 ¡

Spike Pattern

An Example of Bulk Registration

  • Domains registered by eNom every 5 minutes in March

5th, 2012

New domains every 5 minutes New spammer domains every 5 minutes

  • Question: Do spammers register domains in groups?
slide-16
SLIDE 16

16 ¡

Spike Pattern

Distribution of Spammer Domain Registration

  • Distribution of the number of spammer domains

registered within the same registrar and epoch

Only 20% of the spammer domains got registered in isolation

  • Finding: Spammers perform registrations in batches
slide-17
SLIDE 17

17 ¡

  • Question: How to identify “abnormally large” registration

batches?

Spike Pattern

Modeling Registration Batch Size

  • Build hourly model to fit

diurnal patterns

  • Compound Poisson to

represent the customer purchase behaviors

eNom, Inc., hourly window, 10AM–11AM ET Spike: low probability

slide-18
SLIDE 18

18 ¡

Spike Pattern

Registrations in Spikes

  • Finding: Spammer domains appear in spikes with a

much higher likelihood

Spammer domains in spikes All domains in spikes

42% 15%

slide-19
SLIDE 19

19 ¡

  • Motivation
  • Registration Process and Data Collection
  • DNS Infrastructure Used for Spammer Domains
  • Detecting Registration Spikes
  • Domain Life-cycle Role Analysis
  • Conclusion

Outline

Talk Outline

slide-20
SLIDE 20

20 ¡

Life Cycle

Life Cycle Categories

  • Brand-new

– The domain has never appeared in the zone before

  • Re-registration

– The domain has previously appeared in the zone

  • Drop-catch: re-registered immediately after its release
  • Retread: some time elapses between a domain’s prior

deletion and its re-registration

Active (1-10 years) Auto-Renew Grace

(45 days)

Redemption Grace

(30 days)

Pending Delete (5 days)

Available Available

Re-registration Renew

slide-21
SLIDE 21

21 ¡

Life Cycle

Prevalence of Different Categories

Conditional probability of being a spammer domain

  • Question: What type of domains is more likely being used

in spam?

In spikes Drop-catch Retread

1.01% 0.33% 1.34%

Brand-new

2.61% 0.37% 4.48%

  • Finding: Spammers commonly re-register expired

domains, especially when performing bulk registrations

Re-registration

slide-22
SLIDE 22

22 ¡

Life Cycle

Malicious Activities before Retread

  • Question: Do spammers re-register previous spammer

domains?

  • Introspect with spam trap and blacklists before the re-

registration time (October 2011 – February 2012)

– Only 6.8% had appeared in a blacklist before re-registration

  • Finding: Spammers re-register expired domains with

clean histories

slide-23
SLIDE 23

23 ¡

Life Cycle

Dormancy before Retread

65% of retread spammer domains were deleted less than 90 days before

  • Question: How long is between deletion and re-registration?
  • Finding: Spammers have a trend to re-register

domains that expired more recently

slide-24
SLIDE 24

24 ¡

  • Positive actions from specific registrars could have significant

impact in impeding spammer domain registrations

  • Pay attention to bulk registrations: spammers find economic

and/or management benefit to register domains in large batches

  • In addition to generating names, spammers take advantage of

re-registering expired domains, that originally had a clean history

Summary

Takeaways

slide-25
SLIDE 25

25 ¡

  • We studied the fine-grained domain registration of .com

zone over a 5-month period

  • Registration patterns have powers for distinguishing

spammer domains, but no striking signal that separates good domains from bad ones

  • Next steps

– Develop a detector against spammer domains at registration time – Investigate further the reasons of spammer registration strategies

Summary

Summary

http://www.cc.gatech.edu/~shao