GCD AI RADAR
incidents/AIR-2025-0125

LAMEHUG Malware Integrates LLM for Real-Time Command Generation

AI-enabled attack3 Confirmed exploitationAI-generated malwareAI-assisted intrusion

The LAMEHUG malware integrated an open-weight large language model to dynamically generate reconnaissance and exfiltration commands during attacks against Ukrainian officials. The campaign was linked with moderate confidence to APT28.

Details

type
AI-enabled attack
Attackers used AI as a meaningful part of a cyberattack against someone else.
categories
  • AI-generated malwareprimary
    Malware written, adapted or operated with meaningful help from AI models.
  • AI-assisted intrusion
    Threat actors using AI tooling in reconnaissance, exploitation, lateral movement or operations.
owasp llm top 10
no entry for these categories
mitre atlas
Both rows are derived from the type and categories (OWASP 2025 edition, ATLAS release 2026.09), not classified per record. How
severity
3 · Confirmed exploitation
Used against real targets; limited or unclear impact.
targets
Open-weight model, Enterprise deployment
products
LAMEHUG, Qwen2.5-Coder-32B-Instruct
incident date
10 Jul 2025
first reported
10 Jul 2025
origin
AI Incident Database
Derived from the AI Incident Database (CC BY-SA 4.0).
classifier confidence
0.95 · published at or above 0.80; see the methodology
tags
lamehug · apt28 · qwen · malware · llm
record
created 2026-10-18 06:33Z · updated 2026-10-18 06:59Z · json

Sources · 1

  1. 2025-07-10
    LAMEHUG Malware Reportedly Integrates Large Language Model for Real-Time Command Generation in a Purported APT28-Linked Cyberattack
    AI Incident Database · incidentdatabase.ai/cite/1220

Titles and links belong to their publishers. The summary above is written by GCD AI RADAR in its own words; data is CC BY-SA 4.0.

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