malware

Ben Stock has implemented a web service to check a given IP address for infection with Waledac, similar to the Conficker Eye Chart. The idea is that we are currently tracking Waledac as part of the take-down effort and thus we have a pretty good overview of the individual bots within the botnet. Therefore we are in a position to determine if we have seen a given IP address in the recent past as a bot, which indicates that this IP address might be related to a Waledac infection. Of course, effects like NAT or DHCP need to be taken into account: if an IP address is not listed, this does not necessarily mean that you are not infected.

The check is available at http://mwanalysis.org/waledac/, feedback is welcome!

A few weeks ago, I blogged about our paper "Walowdac – Analysis of a Peer-to-Peer Botnet". The paper provides an overview of the Waledac botnet and its specific aspects compared to Storm Worm and similar peer-to-peer botnets. The paper also contains some measurement results for the botnet like the typical number of online bots and similar statistics.

In the last couple of days, the situation changed a bit: we worked on an active takedown of the botnet together with experts from Microsoft, Shadowserver, the University of Mannheim, University of Bonn, University of Washington, Symantec and others. The operation is know within Microsoft as "Operation b49" and involved domain takedowns and additional technical countermeasures. Microsoft also did some fantastic work on the legal side, the complaint filed by Microsoft ("Microsoft Corporation v. John Does 1-27, et. al.") is available online. As a result, the communication infrastructure of Waledac has been disrupted to a certain extent and the botmaster can effectively not send commands to the bots. The Waledac Tracker by sudosecure.net also shows a nice decline in the number of bots for the last few days. Note, however, that the infected machines are still up and running, thus some clean-up at that side is still necessary...

You can read more about the story in a blog post by Microsoft: "Cracking Down on Botnets". And I will update the blog with new information once we start to analyze the collected data...

About one month ago I blogged about our research on malware clustering and classification. We have now also released the full data set from our experiments, such that other people can reproduce the results and compare our approach to theirs. You can find all information at http://pi1.informatik.uni-mannheim.de/malheur/, together with a description of the different data.

Quick overview of the data:

Our reference data set is extracted from our large database of malware binaries maintained at CWSandbox. The malware binaries have been collected over a period of three years from a variety of sources. From the overall database, we select binaries which have been assigned to a known class of malware by the majority of six independent anti-virus products. We append the overall anti-virus label to the filename of each report. Although anti-virus labels suffer from inconsistency, we expect the selection using different scanners to be reasonable consistent and accurate. To compensate for the skewed distribution of classes, we discard classes with less than 20 samples and restrict the maximum contribution of each class to 300 binaries. The selected malware binaries are then executed and monitored using CWSandbox, resulting in a total of 3.133 behavior reports in MIST format.

The application data set consists of seven chunks of malware binaries obtained from the anti-malware vendor Sunbelt Software. The binaries correspond to malware collected during seven consecutive days in August 2009 and originate from a variety of sources. Sunbelt Software uses these very samples to create and update signatures for their VIPRE anti-malware product as well as for their security data feed ThreatTrack. The complete test data set consists of 33.698 behavior reports in MIST format.

The full technical report is available at http://honeyblog.org/junkyard/paper/malheur-TR-2009.pdf.

Update: I changed the terms within the description to use the correct description.

The submissions deadline for the 3rd USENIX Workshop on Large-Scale Exploits and Emergent Threats (LEET '10) is quickly approaching. Please submit your work by Thursday, February 25, 2010, 11:59 p.m. PST. The full call for papers is available at http://www.usenix.org/events/leet10/cfp/, see an overview below:

Topics
Now in its third year, LEET continues to provide a unique forum for the discussion of threats to the confidentiality of our data, the integrity of digital transactions, and the dependability of the technologies we increasingly rely on. We encourage submissions of papers that focus on the malicious activities themselves (e.g., reconnaissance, exploitation, privilege escalation, rootkit installation, attack), our responses as defenders (e.g., prevention, detection, and mitigation), or the social, political, and economic goals driving these malicious activities and the legal and ethical codes guiding our defensive responses.

Overview
Information technology (IT) adds $2 trillion annually to the US economy alone. While these technologies have enabled significant global economic growth, they have become rich targets for malicious activity. The US Federal Bureau of Investigation (FBI) indicated that cyber crime reached an all-time high in 2008; cyber crime now ranks as the FBI's third highest priority, behind such dramatic threats as counter-terrorism and counter-espionage. Much of this malicious activity is driven by economic incentives, but recently we have seen the emergence of highly visible, politically motivated attacks. While the motivations for malicious behavior and the technical mechanisms that enable them remain rich areas of research, it is clear that today our global society is faced with a wide range of cyber criminal activities: spam, phishing, denial of service, click fraud, etc.

Workshop Format
LEET aims to be a true workshop, with the twin goals of fostering the development of preliminary work and helping to unify the broad community of researchers and practitioners who focus on worms, bots, spam, spyware, phishing, DDoS, and the ever-increasing palette of large-scale Internet-based threats. Intriguing preliminary results and thought-provoking ideas will be strongly favored; papers will be selected for their potential to stimulate discussion in the workshop. Each author will have 15 minutes to present his or her work, followed by 15 minutes of discussion with the workshop participants.

Today I gave a talk at the International Computer Science Institute (ICSI) that focussed on some of the research I did in the past year. The slides are now available.

Abstract:
With the growing digital economy, it comes as no surprise that criminal activities in digital business have lead to a digital underground economy. Because it is such a fast-moving field, tracking and understanding this underground economy is difficult and most information in this area is vague. In this talk, we discuss several approaches to study the structure of these underground markets. In particular, we present a method with which it is possible to directly analyze the amount of data harvested through keylogger-based attacks in a highly automated fashion. Based on real-world data, we can get a glimpse into the digital underground economy. However, many open questions remain that will be discussed in the last part of the talk.

You can get the slides at http:///honeyblog.org/junkyard/presentations/10_underground-economy_ICSI.pdf.