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1 Bot-network detection NAIST Mitsuaki Akiyama, Takanori Kawamoto Teruaki Yokoyama.

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Presentation on theme: "1 Bot-network detection NAIST Mitsuaki Akiyama, Takanori Kawamoto Teruaki Yokoyama."— Presentation transcript:

1 1 Bot-network detection NAIST Mitsuaki Akiyama, Takanori Kawamoto Teruaki Yokoyama

2 2 What is the bot-net (1) Platform of Malicious Activities Attempting login Sending DDoS traffic Submitting SPAM messages Threat for the Internet and for AI3 network Necessary for avoiding be stepping-stone of attacks Necessary for reducing wasting bandwidth

3 3 What is the bot-net (2) Bot-net characteristics: Consisting of many victim hosts and few (or usually only One) master host(s) (or user(s)) Constructing command system among them Victims are controlled by the order from master Victims sometimes try to infect other hosts

4 4 Our project: Traffic monitoring and Analyzing AI3 network may work well as sensor for bot-network extensive address space Backbone but easy for traffic capturing Constructing traffic monitor mechanism Dump the whole traffic in AI3 network Mining anomaly from the traffic Today Report Current situation Temporal results

5 5 Model of Bot-network Command System Attacks Infection 1st target (current): To find command system 2nd target (future): To find attack behavior 2nd target (future): To find infection behavior

6 6 Our strategy Target – bot-net on IRC Easy to be differentiated (TCP port 6667) Famous implementations of bot-net The Signature is well known The bot-net on IRC is better as practical experiments To confirm to possible for its command system To obtain bot-net as host-crowd To analyze the behavior of the crowd

7 7 Experiment: Data Target: bot-net on IRC Measure.: PC-router at SFC Date:10, Aug, 2004 Amount: 24hour, 30Gbytes As stored data (offline analysis)

8 8 Experiment: Detection Practical detection: Watching IRC traffic (TCP: ) Obtaining pairs of IRC nick. and channel Finding the channels which keep a lot of users For finding command system IRC IRC botnetclient A B

9 9 Results Channel# 394 User# 1741 Command# 83481 Channel User Conceptual graph Channel which have many users (50-100users) - Command system of bot- net ???

10 10 Confirmation: messages Found bots WORM_SDBOT.BR WORM_RBOT.GE WORM_RBOT.ZQ WORM_SDBOT.VQ Examples of suspicious channel: Channel: #g3n1u5 Message: :CSendFile(0x007E29C0h): Transfer to 167.205.38.93 finished. Channel: ####splox#### Message: :[TFTP]: File transfer started to IP: 203.159.46.120 (C:\WINDOWS\System32\WinGamed.exe). Channel: ##rektp Message: :[FTP]: File transfer complete to IP: 167.205.12.195 (C:\WINDOWS\System32\serm32.exe). Channel: #admin Message: :[FTP]: File transfer complete to IP: 167.205.65.86 (C:\WINDOWS\System32\xpcd.exe). Channel: #!ftpscan Message: :lsass: exploited (167.205.37.57) Channel: #!ftpscan Message: :[lsass]: Exploiting IP: 167.205.106.17. ChannelHosts#Address Spaces #g3n1u5108167.205.0.0 - 167.205.255.255 ##rektp16167.205.0.0 - 167.205.255.255 #!ftpscan13167.205.0.0 - 167.205.255.255

11 11 knowledge Confirmed our assumption Command system can be found The bot-net has characteristic comm. pattern The hosts crowd are found Now planning next step …

12 12 Plans for future To obtain statistical data from the hosts crowd To make their activities and behaviors clear To find the universality of bot behavior To estimate computational requirement for the stateful analyzing memory and calculation requirements per the amount of bandwidth To apply the method to realtime traffic To confirm the universality is true To watch the bot-net trend of the times Fixed point observation To plan for possible countermeasure of bot-network Against improvement of their command system Using cryptogram, Constructing p2p-like structure …


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