VB2014 video: .NET malware dynamic instrumentation for automated and manual analysis

Posted by   Virus Bulletin on   Feb 13, 2015

Hexiang Hu used tool to detect Bladabindi backdoor.

The .NET framework is a popular way to write software. As applications built with the framework compile into a Common Intermediate Language (CIL), single binaries can run on multiple platforms and CPU architectures.

However, as is so often the case, what is useful for authors of benign software is also popular amongst malware authors. Indeed, several recent malware families have been developed using the .NET framework, often using complex packers to frustrate the analysis of code.

During his time as an intern at Microsoft, Hexiang Hu wrote a tool to assist in the automatic analysis of malware written using .NET. He presented this tool in his VB2014 presentation, in which he didn't shy away from the technical details.

  The prevalence of the Bladabindi backdoor.

Hexiang also presented a case study in which the tool was used to detect the prevalent 'Bladabindi' backdoor, which was subject to a somewhat controversial legal action from Microsoft last year.

Because this was one of the event's 'last-minute' presentations, there was no written paper for us to publish. We have, however, uploaded the video to our YouTube channel. You can download the presentation slides here.



Posted on 13 February 2015 by Martijn Grooten
twitter.png
fb.png
linkedin.png
hackernews.png
reddit.png

 

Latest posts:

VBSpam tests to be executed under the AMTSO framework

VB is excited to announce that, starting from the Q3 test, all VBSpam tests of email security products will be executed under the AMTSO framework.

In memoriam: Prof. Ross Anderson

We were very sorry to learn of the passing of Professor Ross Anderson a few days ago.

In memoriam: Dr Alan Solomon

We were very sorry to learn of the passing of industry pioneer Dr Alan Solomon earlier this week.

New paper: Nexus Android banking botnet – compromising C&C panels and dissecting mobile AppInjects

In a new paper, researchers Aditya K Sood and Rohit Bansal provide details of a security vulnerability in the Nexus Android botnet C&C panel that was exploited in order to gather threat intelligence, and present a model of mobile AppInjects.

New paper: Collector-stealer: a Russian origin credential and information extractor

In a new paper, F5 researchers Aditya K Sood and Rohit Chaturvedi present a 360 analysis of Collector-stealer, a Russian-origin credential and information extractor.

We have placed cookies on your device in order to improve the functionality of this site, as outlined in our cookies policy. However, you may delete and block all cookies from this site and your use of the site will be unaffected. By continuing to browse this site, you are agreeing to Virus Bulletin's use of data as outlined in our privacy policy.