Honeypots and Honeynets

1. Honeypots and Honeynets Source: The HoneyNet Project http://www.honeynet.org/ Mehedy Masud September 16, 2009 mehedy@utdallas.edu

2. Why HoneyPots A great deal of the security profession and the IT world depend on honeypots. Honeypots • Build anti-virus signatures. • Build SPAM signatures and filters. • ISP’s identify compromised systems. • Assist law-enforcement to track criminals. • Hunt and shutdown botnets. • Malware collection and analysis.

3. What are Honeypots • Honeypots are real or emulated vulnerable systems ready to be attacked. • Primary value of honeypots is to collect information. • This information is used to better identify, understand and protect against threats. • Honeypots add little direct value to protecting your network.

4. Types of HoneyPot • Server: Put the honeypot on the Internet and let the bad guys come to you. • Client: Honeypot initiates and interacts with servers • Other: Proxies

5. Types of HoneyPot • Low-interaction • Emulates services, applications, and OS’s. • Low risk and easy to deploy/maintain, but capture limited information. • High-interaction • Real services, applications, and OS’s • Capture extensive information, but high risk and time intensive to maintain.

6. Types of HoneyPot • Production • Easy to use/deploy • Capture limited information • Mainly used by companies/corporations • Placed inside production network w/other servers • Usually low interaction • Research • Complex to maintain/deploy • Capture extensive information • Primarily used for research, military, or govt. orgs

7. Examples Of Honeypots • BackOfficer Friendly • KFSensor • Honeyd • Honeynets Low Interaction High Interaction

8. Honeynets • High-interaction honeypot designed to capture in-depth information. • Information has different value to different organizations. • Its an architecture you populate with live systems, not a product or software. • Any traffic entering or leaving is suspect.

9. How It Works • A highly controlled network where every packet entering or leaving is monitored, captured, and analyzed. • Data Control • Data Capture • Data Analysis

10. Honeynet Architecture

11. Data Control • Mitigate risk of honeynet being used to harm non-honeynet systems. • Count outbound connections. • IPS (Snort-Inline) • Bandwidth Throttling

12. No Data Control

13. Data Control

14. Data Capture • Capture all activity at a variety of levels. • Network activity. • Application activity. • System activity.

15. Sebek • Hidden kernel module that captures all host activity • Dumps activity to the network. • Attacker cannot sniff any traffic based on magic number and dst port.

16. Sebek Architecture

17. Honeywall CDROM • Attempt to combine all requirements of a Honeywall onto a single, bootable CDROM. • May, 2003 - Released Eeyore • May, 2005 - Released Roo

18. RooHoneywall CDROM • Based on Fedora Core 3 • Vastly improved hardware and international support. • Automated, headless installation • New Walleye interface for web based administration and data analysis. • Automated system updating.

19. Installation • Just insert CDROM and boot, it installs to local hard drive. • After it reboots for the first time, it runs a hardening script based on NIST and CIS security standards. • Following installation, you get a command prompt and system is ready to configure.

20. Further Information • http://www.honeynet.org/ • http://www.honeynet.org/book

21. Network Telescope • Also known as a darknet, internet motion sensor or black hole • Allows one to observe different large-scale events taking place on the Internet. • The basic idea is to observe traffic targeting the dark (unused) address-space of the network. • Since all traffic to these addresses is suspicious, one can gain information about possible network attacks • random scanning worms, and DDoSbackscatter • As well as other misconfigurations by observing it.

22. Honeytoken • honeytokens are honeypots that are not computer systems. • Their value lies not in their use, but in their abuse. • As such, they are a generalization of such ideas as the honeypot and the canary values often used in stack protection schemes. • Honeytokens can exist in almost any form, • from a dead, fake account to a • database entry that would only be selected by malicious queries, • making the concept ideally suited to ensuring data integrity—any use of them is inherently suspicious if not necessarily malicious.

23. Honeytoken • In general, they don't necessarily prevent any tampering with the data, • but instead give the administrator a further measure of confidence in the data integrity. • An example of a honeytoken is a fake email address used to track if a mailing list has been stolen

24. Honeymonkey • HoneyMonkey, • short for Strider HoneyMonkey Exploit Detection System, is a Microsoft Researchhoneypot. • The implementation uses a network of computers • to crawl the World Wide Web searching for websites that use browser exploits to install malware on the HoneyMonkey computer. • A snapshot of the memory, executables and registry of the honeypot computer is recorded before crawling a site. • After visiting the site, the state of memory, executables, and registry is compared to the previous snapshot. • The changes are analyzed to determine whether the visited site installed malware onto the honeypot computer.

25. Honeymonkey HoneyMonkey is based on the honeypot concept, with the difference that it actively seeks websites that try to exploit it. The term was coined by Microsoft Research in 2005. With honeymonkeys it is possible to find open security holes that aren't yet publicly known but are exploited by attackers.

26. Tarpit A tarpit (also known as Teergrube, the German word for tarpit) is a service on a computer system (usually a server) that delays incoming connections for as long as possible. The technique was developed as a defense against a computer worm, and the idea is that network abuses such as spamming or broad scanning are less effective if they take too long. The name is analogous with a tar pit, in which animals can get bogged down and slowly sink under the surface.