LLM Trusted Output Components Manipulation
Description
Adversaries may utilize prompts to a large language model (LLM) which manipulate various components of its response in order to make it appear trustworthy to the user. This helps the adversary continue to operate in the victim's environment and evade detection by the users it interacts with.
The LLM may be instructed to tailor its language to appear more trustworthy to the user or attempt to manipulate the user to take certain actions. Other response components that could be manipulated include links, recommended follow-up actions, retrieved document metadata, and Citations.
- ATLAS ID
- AML.T0067
- Maturity
- DemonstratedShown to work in research or red-team exercises.
- Platforms
- Generative AIAgentic AI
Sub-techniques
Mitigations
ATLAS 2026.09 lists no mitigation for this technique.