5 Biggest Changes to Cybersecurity Threat Landscape in 2022 - Deep Instinct

Published on
17/11/2022 10:39 AM
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Deep Instinct, the first company to apply end-to-end deep learning to cybersecurity, released its 2022 Bi-Annual Cyber Threat Report earlier this month. 

The newest edition of the report focuses on the top malware and ransomware trends and tactics from the first half of 2022 and provides key takeaways and predictions for the ever-evolving cybersecurity threat landscape.

“2022 has been another record year for cyber criminals and ransomware gangs. It’s no secret that these threat actors are constantly upping their game with new and improved tactics designed to evade traditional cyber defences,” said Mark Vaitzman, Threat Lab Team Leader at Deep Instinct. 

“The goal of this report is to outline the wide range of challenges that organizations and their security teams face daily. Defenders...

Changes in threat actor structure

Some of the most prevalent activities observed include changes within the world of ransomware gangs, including LockBit, Hive, BlackCat, and Conti. The latter has spawned “Conti Splinters” made up of Quantum, BlackBasta, and BlackByte. These three prominent former affiliate groups to the Conti operation emerged under their own operations following the decline of Conti.

 

Malware campaigns in flux

The report highlights the reasons behind significant changes to Emotet, Agent Tesla, NanoCore, and others. For example, Emotet uses highly obfuscated VBA macros to avoid detection.

 

As Microsoft shuts down one avenue, bad actors open others

Deep Instinct’s researchers found that the use of documents for malware has decreased as the prior number one attack vector, following Microsoft’s move to disable macros by default in Microsoft Office files. Threat actors have already been seen shifting gears and implementing other methods to deploy their malware, such as LNK, HTML, and archive email attachments.

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