GCD AI RADAR
incidents/AIR-2025-0069

LAMEHUG Malware Uses LLMs for Dynamic Command Generation

AI-enabled attack3 Confirmed exploitationAI-assisted intrusion

The Russian state-backed group APT28 deployed LAMEHUG malware utilizing an LLM to dynamically generate commands on compromised hosts. The campaign was initiated via a phishing email leveraging a compromised government account.

Details

type
AI-enabled attack
Attackers used AI as a meaningful part of a cyberattack against someone else.
categories
  • 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
no technique for these categories
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
Individuals, Enterprise deployment
products
LAMEHUG
incident date
Jun 2025 (approx.)
first reported
24 Dec 2025
origin
MITRE ATLAS
Derived from MITRE ATLAS (Apache 2.0, © MITRE).
classifier confidence
0.95 · published at or above 0.80; see the methodology
tags
lamehug · apt28 · forest-blizzard
record
created 2026-10-18 06:55Z · updated 2026-10-18 06:55Z · json

Sources · 4

  1. 2025-12-24
    LAMEHUG: Malware Leveraging Dynamic AI-Generated Commands
    MITRE ATLAS · atlas.mitre.org/studies/AML.CS0044
  2. 2025-12-24
    LameHug malware uses AI LLM to craft Windows data-theft commands in real-time
    BleepingComputer · bleepingcomputer.com/news/security/lamehug-malware-uses-ai-llm-to-craft-windows-
  3. 2025-12-24
    UAC-0001 cyberattacks on the security and defense sector using the LAMEHUG software tool, which uses LLM (large language model) (CERT-UA#16039)
    cert.gov.ua · cert.gov.ua/article/6284730
  4. 2025-12-24
    APT28's New Arsenal: LAMEHUG, the First AI-Powered Malware
    logpoint.com · logpoint.com/en/blog/apt28s-new-arsenal-lamehug-the-first-ai-powered-malware

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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