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MITRE ATT&CK sub-technique

T1588.007 — Artificial Intelligence

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T1588.007 (Artificial Intelligence) is a MITRE ATT&CK sub-technique tracked in WhisperGraph, serving the Resource Development tactic.

Description

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](https://attack.mitre.org/tactics/TA0043), creating basic scripts, assisting social engineering, and even developing payloads.(Citation: MSFT-AI) 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](https://attack.mitre.org/techniques/T1566)/[Phishing for Information](https://attack.mitre.org/techniques/T1598) campaigns. The same publicly available tool may further enable vulnerability or other offensive research supporting [Develop Capabilities](https://attack.mitre.org/techniques/T1587). AI tools may also automate technical tasks by generating, refining, or otherwise enhancing (e.g., [Obfuscated Files or Information](https://attack.mitre.org/techniques/T1027)) malicious scripts and payloads.(Citation: OpenAI-CTI) Finally, AI-generated text, images, audio, and video may be used for fraud, [Impersonation](https://attack.mitre.org/techniques/T1684/001), and other malicious activities.(Citation: Google-Vishing24)(Citation: IC3-AI24)(Citation: WSJ-Vishing-AI24)

Tactics

Related techniques

Parent technique: T1588 · Obtain Capabilities

Threat actors observed using this technique

© The MITRE Corporation. This work is reproduced and distributed with the permission of The MITRE Corporation.

Related pages

Pivot from T1588.007 into its tactic, related techniques and the actors that use it.

Queries

Resolves the segment to this technique or tactic.


MATCH (t:ATTACK_PATTERN {name: $id})
RETURN t.id AS id, t.name AS name, t.kind AS kind, t.description AS description
Run yourself →

The tactic(s) this technique serves.


MATCH (t:ATTACK_PATTERN {name: $id})-[:USES_TACTIC]->(tac:ATTACK_PATTERN)
RETURN tac.id AS id, tac.name AS name
LIMIT 10
Run yourself →

This id's parent technique, if it is a sub-technique.


MATCH (p:ATTACK_PATTERN {name: $parentId})
RETURN p.id AS id, p.name AS name
LIMIT 1
Run yourself →

Sub-techniques of this technique, if any.


MATCH (c:ATTACK_PATTERN) WHERE c.id STARTS WITH $subPrefix
RETURN c.id AS id, c.name AS name
ORDER BY c.id
LIMIT 25
Run yourself →

Threat actors observed using this technique.


MATCH (a:ACTOR)-[:USES_TECHNIQUE]->(t:ATTACK_PATTERN {name: $id})
RETURN a.name AS name
LIMIT 100
Run yourself →

Or query Whisper from your own LLM workflow via the Whisper MCP server.