VB2019 preview: Problem child: common patterns in malicious parent-child relationships

Posted by   Martijn Grooten on   Sep 2, 2019

Living-off-the-land binaries, often referred to as LOLbins, are legitimate (Windows) binaries used for malicious purposes. Their use has increased in malware campaigns in recent years and serves as a reminder that a defensive approach focused purely on detecting malicious binaries is outdated.

Thus rather than focus on the binaries itself, it is important to study the parent-child process that leads to a binary being executed to determine whether its use is likely malicious.

This is the premise of a paper to be presented at VB2019 by Endgame researcher Bobby Filar, who will discuss Problem Child, a graph-based framework designed to address these issues. In his research he also used the framework against activities by two known APT actors: OceanLotus and APT3.

With VB2019 just one month away, it is time to book your ticket for the most international threat intelligence event of the year!

vb2019-register-now-2.jpg

twitter.png
fb.png
linkedin.png
hackernews.png
reddit.png

 

Latest posts:

VB2019 paper: Domestic Kitten: an Iranian surveillance program

At VB2019 in London, Check Point researchers Aseel Kayal and Lotem Finkelstein presented a paper detailing an Iranian operation they named 'Domestic Kitten' that used Android apps for targeted surveillance. Today we publish their paper and the video…

VB2019 video: Discretion in APT: recent APT attack on crypto exchange employees

At VB2019 in London, LINE's HeungSoo Kang explained how cryptocurrency exchanges had been attacked using Firefox zero-days. Today, we publish the video of his presentation.

VB2019 paper: DNS on fire

In a paper presented at VB2019, Cisco Talos researchers Warren Mercer and Paul Rascagneres looked at two recent attacks against DNS infrastructure: DNSpionage and Sea Turtle. Today we publish their paper and the recording of their presentation.

German Dridex spam campaign is unfashionably large

VB has analysed a malicious spam campaign targeting German-speaking users with obfuscated Excel malware that would likely download Dridex but that mostly stood out through its size.

Paper: Dexofuzzy: Android malware similarity clustering method using opcode sequence

We publish a paper by researchers from ESTsecurity in South Korea, who describe a fuzzy hashing algorithm for clustering Android malware datasets.

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.