Besides the common naming convention of this threat, there are many other factors which gave this infection away at a glance. Firstly, the use of P2P style communication via SMTP raised an eyebrow. This particular instance called out to 159 distinct IP addresses.
Secondly, we observed the overt way the botnet installs several packet capturing utilities and services. This is done so that the infection can monitor ports 21, 25, and 110 for username and password information.
Next, I noticed that the botnet attempts to categorize it's new victim by using legitimate services to gather intelligence. In this instance, the malicious file actually queried the victim IP address on Barracuda Networks, SpamHaus, Mail-Abuse, and Sophos. These services primarily exist to notify users of abuse seen on the site or IP address. Kelihos is using it to to determine if the new victim is already seen as malicious or not. If the victim isn't seen in the CBLs (Composite Block Lists) yet, then it may be used as either a Proxy C&C or Spam-bot.
![]() |
| Everything you need to monitor packets is created/dropped here. |
Next, I noticed that the botnet attempts to categorize it's new victim by using legitimate services to gather intelligence. In this instance, the malicious file actually queried the victim IP address on Barracuda Networks, SpamHaus, Mail-Abuse, and Sophos. These services primarily exist to notify users of abuse seen on the site or IP address. Kelihos is using it to to determine if the new victim is already seen as malicious or not. If the victim isn't seen in the CBLs (Composite Block Lists) yet, then it may be used as either a Proxy C&C or Spam-bot.
![]() |
| References to CBL's from each location will determine what role the victim plays in the botnet. |
A final point to make about this threat is that it makes no attempt to hide exactly how loud it is regarding network activity. We noted a spike in TCP traffic across a distinct 563 IP addresses in the span of two minutes. Network administrators should take extra care in monitoring users with anomalous levels of traffic. A single node giving off so much traffic to different services in such a small window could be used to identify potential victims.



No comments:
Post a Comment