kevmap

TechniquesT1588 › T1588.007

T1588.007 Artificial Intelligence

resource development — PRE · attack.mitre.org · JSON

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MITRE detection strategy
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analytics
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Sigma rules tagged attack.t1588.007
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KEV CVEs mapped here
<p>Adversaries may obtain access to generative artificial intelligence tools, such as large language models (LLMs), to aid various techniques during targeting. These tools may be used to inform, bolster, and enable a variety of malicious tasks, including conducting Reconnaissance, creating basic scripts, assisting social engineering, and even developing payloads.</p><p>For example, by utilizing a publicly available LLM an adversary is essentially outsourcing or automating certain tasks to the tool. Using AI, the adversary may draft and generate content in a variety of written languages to be used in Phishing/Phishing for Information campaigns. The same publicly available tool may further enable vulnerability or other offensive research supporting Develop Capabilities. AI tools may also automate technical tasks by generating, refining, or otherwise enhancing (e.g., Obfuscated Files or Information) malicious scripts and payloads. Finally, AI-generated text, images, audio, and video may be used for fraud, Impersonation, and other malicious activities.</p>

KEV CVEs mapped to this technique · CTID Mappings Explorer

None. No KEV entry in the public mapping names this technique. Given that 74.7% of KEV has no mapping at all, this says more about the mapping than about the technique.

Detection strategy · ATT&CK Enterprise v19.2

Sigma rules · SigmaHQ da9bb07d64, tag attack.t1588.007

No Sigma rule carries this tag. MITRE publishes a detection strategy above, so the behaviour is specified; what is missing is public detection content.

Rules tagged at the parent level (attack.t1588) 2

These target the parent technique, not this sub-technique specifically. Listed for completeness, not counted as coverage.

Author: Florian Roth (Nextron Systems), Arnim Rupp · 2017-02-19 (modified 2024-12-25) · logsource: product=windows service=application · 78bc5783-81d9-4d73-ac97-59f6db4f72a8
Detects potentially highly relevant antivirus events in the application log based on known virus signature names and malware keywords.
Techniques: T1588
Author: Florian Roth (Nextron Systems), Arnim Rupp · 2018-09-09 (modified 2026-06-29) · logsource: category=antivirus · c9a88268-0047-4824-ba6e-4d81ce0b907c
Detects an Antivirus alert in a highly relevant file path or with a relevant file name. This event must not be ignored just because the AV has blocked the malware but investigate, how it came there in the first place.
Techniques: T1588