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Prompts as Code & Embedded Keys | The Hunt for LLM-Enabled Malware

Threat Score
65/100

Date Published: 2025-09-19

Date Updated: 2026-07-27

Author: Alex Delamotte, Vitaly Kamluk & Gabriel Bernadett-Shapiro

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This research briefing presents SentinelLABS’ investigation into LLM-enabled malware, detailing how adversaries embed or leverage large language models to generate code or commands at runtime, with case studies including PromptLock (PoC ransomware), MalTerminal (early LLM-enabled sample), and LameHug/PROMPTSTEAL (attributed to APT28). The report explains hunting techniques (API key and prompt detection), defensive implications (runtime-generated malicious logic, mixed network traffic, and brittle dependencies like API keys), and includes IOCs such as file hashes and examples of malicious prompts.

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