Artificial Intelligence

T1588.007

Sub-technique of T1588 Obtain Capabilities.View on attack.mitre.org

About this technique

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.

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.

Detection rules0

Rules on DetectionCode tagged with T1588.007.

Sigma0

No Sigma rules are mapped to this technique yet.

Splunk0

No Splunk rules are mapped to this technique yet.

Groups3

Software1

Campaigns2

Procedure examples6

Groups3

Used byProcedure example
GroupAPT28

APT28 has deployed LAMEHUG which can can query an LLM to generate and return commands for post compromise activity on targeted systems.

GroupContagious Interview

Contagious Interview has appeared to have used AI to generate images and content to facilitate their campaigns.

GroupShinyHunters

ShinyHunters has used Bland AI to create conversational pathways tailored to specific scenarios during voice phishing attacks.

Software1

Used byProcedure example
MalwareLazyWiper

LazyWiper is believed to have been generated by a large language model (LLM) due to the non-sensical comments in the code.

Campaigns2

Used byProcedure example
Campaign2025 Poland Wiper Attacks

During the 2025 Poland Wiper Attacks, the adversaries generated custom script with an LLM.

CampaignAnthropic AI-orchestrated Campaign

During the Anthropic AI-orchestrated Campaign, the adversary obtained access to Claude Code to support cyber intrusion operations.

References5

  1. Google-Vishing24 Open source
    Emily Astranova, Pascal Issa. (2024, July 23). Whose Voice Is It Anyway? AI-Powered Voice Spoofing for Next-Gen Vishing Attacks. Retrieved March 18, 2025.
  2. IC3-AI24 Open source
    IC3. (2024, December 3). Criminals Use Generative Artificial Intelligence to Facilitate Financial Fraud. Retrieved March 18, 2025.
  3. MSFT-AI Open source
    Microsoft Threat Intelligence. (2024, February 14). Staying ahead of threat actors in the age of AI. Retrieved March 11, 2024.
  4. OpenAI-CTI Open source
    OpenAI. (2024, February 14). Disrupting malicious uses of AI by state-affiliated threat actors. Retrieved September 12, 2024.
  5. WSJ-Vishing-AI24 Open source
    Catherine Stupp. (2019, August 30). Fraudsters Used AI to Mimic CEO’s Voice in Unusual Cybercrime Case. Retrieved March 18, 2025.

Data from MITRE ATT&CK® (Enterprise). ATT&CK® is a registered trademark of The MITRE Corporation.