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CAP6135: Malware and Software Vulnerability Analysis Botnets Cliff Zou Spring 2012
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2 Acknowledgement This lecture uses some contents from the lecture notes from: Dr. Dawn Song: CS161: computer securityCS161: computer security Richard Wang – SophosLabs: The Development of BotnetsThe Development of Botnets Randy Marchany - VA Tech IT Security Lab: BotnetsBotnets
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3 Collection of compromised hosts Spread like worms and viruses Once installed, respond to remote commands A network of ‘ bots ’ robot : an automatic machine that can be programmed to perform specific tasks. Also known as ‘ zombies ’
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4 Platform for many attacks Spam forwarding (70% of all spam?) Click fraud Keystroke logging Distributed denial of service attacks Serious problem Top concern of banks, online merchants Vint Cerf: ¼ of hosts connected to Internet
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5 What are botnets used for?
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6 IRC (Internet Relay Chat) based Control
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8 Why IRC? IRC servers are: freely available easy to manage easy to subvert Attackers have experience with IRC IRC bots usually have a way to remotely upgrade victims with new payloads to stay ahead of security efforts
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9 How bad is the problem? Symantec identified a 400K node botnet Netadmin in the Netherlands discovered 1-2M unique IPs associated with Phatbot infections. Phatbot harvests MyDoom and Bagel infected machines. Researchers in Gtech monitored thousands of botnets
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10 Spreading Problem Spreading mechanism is a leading cause of background noise Port 445, 135, 139, 137 accounted for 80% of traffic captured by German Honeynet Project Other ports 2745 – bagle backdoor 3127 – MyDoom backdoor 3410 – Optix trojan backdoor 5000 – upnp vulnerability
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Most commonly used Bot families Agobot SDBot SpyBot GT Bot
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Agobot Most sophisticated 20,000 lines C/C++ code IRC based command/control Large collection of target exploits Capable of many DoS attack types Shell encoding/polymorphic obfuscation Traffic sniffers/key logging Defend/fortify compromised system Ability to frustrate dissassembly
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SDBot Simpler than Agobot, 2,000 lines C code Non-malicious at base Utilize IRC-based command/control Easily extended for malicious purposes Scanning DoS Attacks Sniffers Information harvesting Encryption
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SpyBot <3,000 lines C code Possibly evolved from SDBot Similar command/control engine No attempts to hide malicious purposes
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GT Bot Functions based on mIRC scripting capabilities HideWindow program hides bot on local system Basic rootkit function Port scanning, DoS attacks, exploits for RPC and NetBIOS
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Variance in codebase size, structure, complexity, implementation Convergence in set of functions Possibility for defense systems effective across bot families Bot families extensible Agobot likely to become dominant
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All of the above use IRC for command/control Disrupt IRC, disable bots Sniff IRC traffic for commands Shutdown channels used for Botnets IRC operators play central role in stopping botnet traffic But a botnet could use its own IRC server Automated traffic identification required Future botnets may move away from IRC Move to P2P communication Traffic fingerprinting still useful for identification Control
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Host control Fortify system against other malicious attacks Disable anti-virus software Harvest sensitive information PayPal, software keys, etc. Economic incentives for botnets Stresses need to patch/protect systems prior to attack Stronger protection boundaries required across applications in OSes
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19 Example Botnet Commands Connection CLIENT: PASS HOST : (if error, disconnect) CLIENT: NICK HOST : NICKERROR | CONNECTED Pass hierarchy info BOTINFO BOTQUIT
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20 Example Botnet Commands IRC Commands CHANJOIN CHANPART CHANOP CHANKICK CHANBANNED CHANPRIORITY
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21 Example Botnet Commands pstore Display all usernames/passwords stored in browsers of infected systems bot.execute Run executable on remote system bot.open Reads file on remote computer bot.command Runs command with system()
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22 Example Botnet Commands http.execute Download and execute file through http ftp.execute ddos.udpflood ddos.synflod ddos.phaticmp redirect.http redirect.socks
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23 Current Botnet Control Architecture bot C&C botmaster bot C&C More than one C&C server Spread all around the world
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24 Botnet Monitor: Gatech KarstNet A lot bots use Dyn- DNS name to find C&C bot C&C attacker C&C KarstNet sinkhole cc1.com KarstNet informs DNS provider of cc1.com Detect cc1.com by its abnormal DNS queries DNS provider maps cc1.com to Gatech sinkhole (DNS hijack) bot All/most bots attempt to connect the sinkhole
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Botnet Monitor: Honeypot Spy Security researchers set up honeypots Honeypots: deliberately set up vulnerable machines When compromised, put close monitoring of malware’s behaviors Tutorial: http://en.wikipedia.org/wiki/Honeypot_%28computing%29 http://en.wikipedia.org/wiki/Honeypot_%28computing%29 When compromised honeypot joins a botnet Passive monitoring: log all network traffic Active monitoring: actively contact other bots to obtain more information (neighborhood list, additional c&c, etc.) Representative research paper: A multifaceted approach to understanding the botnet phenomenon, Abu Rajab, Moheeb and Zarfoss, Jay and Monrose, Fabian and Terzis, Andreas, 6th ACM SIGCOMM conference on Internet measurement (IMC), 2006. A multifaceted approach to understanding the botnet phenomenon 25
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26 The Future Generation of Botnets Peer-to-Peer C&C Polymorphism Anti-honeypot Rootkit techniques
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