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TA547 USES AN LLM-GENERATED DROPPER TO INFECT GERMAN ORGS

It's finally happening: Rather than just for productivity and research, threat
actors are using LLMs to write malware. But companies need not worry just yet.

Nate Nelson, Contributing Writer

April 10, 2024

3 Min Read
Source: Ole.CNX via Shutterstock


Researchers from Proofpoint recently observed a malicious campaign targeting
dozens of organizations across various industries in Germany. One part of the
attack chain stood out in particular: an otherwise ordinary malware dropper
whose code had clearly been generated by artificial intelligence (AI).

What the researchers discovered: Initial access broker (IAB) TA547 is using the
AI-generated dropper in phishing attacks.

Though it may be a harbinger of more to come, it's no cause for panic. Defending
against malware is the same no matter who or what writes it, and AI malware
isn't likely to take over the world just yet.



"For the next few years, I don't see malware coming out of LLMs being more
sophisticated than something a human is going to be able to write," says Daniel
Blackford, senior manager of threat research at Proofpoint. After all, AI aside,
"We've got very talented software engineers who are adversarially working
against us."


TA547'S AI DROPPER

TA547 has a long history of financially motivated cyberattacks. It came to
prominence trafficking Trickbot, but has cycled through handfuls of other
popular cybercrime tools, including Gozi/Ursnif, Lumma stealer, NetSupport RAT,
StealC, ZLoader, and more.



"We're seeing — not just with TA547, but with other groups as well — much faster
iteration through development cycles, adoption of other malware, trying new
techniques to see what will stick," Blackford explains. And TA547's latest
evolution seems to have been with AI.

Its attacks began with brief impersonation emails — for example, masquerading as
the German retail company Metro AG. The emails contained password-protected ZIP
files couching compressed LNK files. The LNK files, when executed, triggered a
Powershell script that dropped the Rhadamanthys infostealer.



Sounds simple enough, but the Powershell script that dropped Rhadamanthys had
one strange characteristic. Within the code, above each and every component, was
a hashtag followed by hyper-specific comments about what the component achieved.

A snippet of the TA547 dropper. Source: Proofpoint

As Proofpoint noted, this is characteristic of LLM-generated code, indicating
that the group — or whoever originally wrote the dropper — used some sort of
chatbot to write it.


IS WORSE AI MALWARE TO COME?

Like the rest of us, cyberattackers have been experimenting with how AI chatbots
can help them achieve their goals more easily, expeditiously, and effectively.



Some have figured out little ways to use AI to enhance their day-to-day
operations, for example by aiding research into targets and emerging
vulnerabilities. But aside from proofs-of-concept and the odd novelty tool,
there hasn't been much evidence that hackers are writing useful malware with the
help of AI.

That, Blackford says, is because humans are still far better than robots at
writing malicious code. Plus, AI developers have taken steps to prevent the
misuse of their software.

At least for now, he says, "the ways that these groups are going to leverage AI
to scale up their operations is more of an interesting problem than the idea
that they're going to create some new super malware with it."

And even once they do autogenerate super malware, the job of defending against
it will remain the same. As Proofpoint concluded in its post, "In the same way
LLM-generated phishing emails to conduct business email compromise (BEC) use the
same characteristics of human-generated content and are caught by automated
detections, malware or scripts that incorporate machine-generated code will
still run the same way in a sandbox (or on a host), triggering the same
automated defenses."





ABOUT THE AUTHOR(S)

Nate Nelson, Contributing Writer



Nate Nelson is a freelance writer based in New York City. Formerly a reporter at
Threatpost, he contributes to a number of cybersecurity blogs and podcasts. He
writes "Malicious Life" -- an award-winning Top 20 tech podcast on Apple and
Spotify -- and hosts every other episode, featuring interviews with leading
voices in security. He also co-hosts "The Industrial Security Podcast," the most
popular show in its field.

See more from Nate Nelson, Contributing Writer
Keep up with the latest cybersecurity threats, newly discovered vulnerabilities,
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