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WF-R72X6B

LAMEHUG Malware Reportedly Integrates Large Language Model for Real-Time Command Generation in a Purported APT28-Linked Cyberattack

Ukraine's CERT-UA and Cato CTRL reported LAMEHUG, the first known malware to integrate a large language model (Qwen2.5-Coder-32B-Instruct via Hugging Face) for real-time command generation. Attributed with moderate confidence to APT28 (Fancy Bear), the malware reportedly targeted Ukrainian officials through phishing emails. The LLM is reported to have dynamically generated reconnaissance and data-exfiltration commands executed on infected systems.

Date it happened
2025-07-10
Organisation involved
Fancy Bear, APT28
Product, system or model
stayathomeclasses[.]com exfiltration endpoint, Qwen2.5-Coder-32B-Instruct, PyInstaller-compiled Python executables, LAMEHUG malware family, Hugging Face API platform, Flux AI image generation API, 144
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Attribution

This incident was imported from AI Incident Database and is used under CC BY-SA 4.0. Our additions to it — the structured fields, the translation, the checks against other reports — are published under the same licence.

This is a record of what was reported, not a finding that anyone broke the law. If it names your organisation and you believe it is wrong, the corrections process is free and open to everyone.