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(Updated) Easily Detect Conficker Infections- Over the Network

Rich March 30, 2009 No Comments

Update: Dan just let me know that Tillmann Werner and Felix Leder have been working on this for 5 months! Dan came in (and then brought me in) only on Friday. They deserve major credit and thanks for this impressive work. Also, Nmap (which is still free) and the free feed of Nessus have their signatures out for those of you that don’t have an enterprise product. Ever since last year, I always get a little nervous when Dan Kaminsky starts asking me certain questions over Twitter. Last time it was the DNS vulnerability, and this time it was something not as big, yet still extremely cool. Some researchers with the Honeynet Project (Tillmann Werner and Felix Leder) discovered a way to remotely (as in via network scan) detect Conficker infections. It seems that whoever is behind Conficker attempts to patch the MS08-067 vulnerability when they infect a system so no other attackers can get in. The patch is flawed, causing a specific response to network probes. Yes folks, this means you can tell if a system is infected with Conficker just by scanning it. Now how cool is that?   < p>The HoneyNet guys contacted Dan for some help, and then he contacted me to get connected with the major scanning vendors. I called Adrian, and we managed to wrangle up nCircle, McAfee, nCircle, Nmap, Qualys, and Tenable (Nessus) and most have already incorporated, or are about to incorporate, Conficker sigs for their scanners. I think Dan is giving me too much credit in his post; all I did was connect the right people with each other; I wasn’t involved in the tool creation or testing. (We did shoot for some other vendors, but didn’t have the right contacts). I know Dan, the HoneyNet guys, and the vendor research teams all put in a heck of a lot of time on this over the weekend. Here’s what you enterprise guys need to know: There is a free proof-of-concept tool available from the HoneyNet Project, or you can contact your network vulnerability assessment vendor to see if they have an updated signature. This should work on all Conficker variants. (I suspect that won’t last long). The “Know Your Enemy” paper will be released by the HoneyNet Project in the next couple of days, with far greater detail. This doesn’t guarantee you will detect all infections, but it’s a powerful way to reduce your risk. We recommend you start scanning immediately if you have the slightest worry over Conficker. Expect the tools to undergo a series of updates in the next few days as we all learn more. This really is hot-out-of-the-oven stuff that still needs to settle in. The next phase will be to include this in NAC products for pre-connect scanning. That’s about it- simple enough! If you start using these and find anything interesting, please come back and post it in the comments. Share:

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Comments on “Containing Conficker”

Adrian Lane March 30, 2009 4 Comments

As you have probably read, a method for remotely detecting systems infected with the Conficker worm was discovered by Felix Leder and Tillmann Werner. They have been working with Dan Kaminisky, amongst others, to come up with a tool to detect the worm and give IT organizations the ability to protect themselves. This is excellent news. The bad news is how unprepared most applications are to handle threats like this. Earlier this morning, the guys at The Honeynet Project were kind enough to forward Rich and myself a copy of their Know Your Enemy: Containing Conficker paper. This is a very thorough analysis of how the worm operates. I want keep my comments on this short, and simply recommendation strongly that you read the paper. If you are in software development, you need to read this paper. Their analysis of Conficker illustrates that the people who wrote it are far ahead of your typical application development team in their understanding of application security. Developers need to understand the approach that attackers are taking, understand the dedication to their craft these guys are exhibiting, and increase their own knowledge and dedication if they are going to have a chance of producing code that can counter these types of threats. Is Conficker a well-written piece of code? Is it architected well? No idea. But it is clear that each iteration has advanced their three core functions (find & infect, maintain, & defend) and had this flexibility in mind from the begining. Look at how Conficker uses identification techniques to protect itself in avoid downloading the wrong/malicious patches to their worm. And check out the examination of incoming requests to help protect their now infected system from other viruses. This should serve as an example of how to write internal monitoring code to detect exploit attempts (see section 4), either in lieu of a full blown patch, or as self-defending code at critical points, or both. And it is done in a manner that gives them a generic tool that, when updated, will be an effective anti-malware tool. Neat, huh? The authors have a pretty good understanding of randomness and used multiple sources, not only to get better randomness, but to avoid an attack on any one- smart. These are really good application security practices that very few software authors actually put into practice. Heck, most web applications trust everything that comes in, and it looks like the authors of Conficker understand that you must trust nothing! Once again, if you are a software developer or IT practitioner, read the paper. The research that Felix and Tillmann have put into this is impressive. They have proof points for everything they believe to be true about the worm’s behavior, and have stuck with the facts. This is really time consuming, difficult work. Excellent job, guys! Share:

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