Yamete.gg — agentic threat model

Not certain from the listing — the underlying LLMs and image generation models are proprietary or undisclosed. Primary threats include model reprogramming, adversarial prompt injection, and intellectual property theft of custom-tuned NSFW weights.

Not certain from the listing — the architecture of the 'extended memory system' and vector stores is unknown. The primary threat is data exfiltration or unauthorized access to highly sensitive, personal user chat histories and custom character configurations.

Not certain from the listing — the orchestration framework managing 'Studio Mode' and character state is proprietary. Threats include prompt injection to manipulate character behavior beyond intended boundaries or bypass platform limitations.

Not certain from the listing — hosting, sandboxing, and infrastructure details are undisclosed. Potential threats include server-side request forgery (SSRF) through the image generation engine and resource exhaustion on GPU clusters.

Not certain from the listing — there is no mention of monitoring, logging, or safety guardrails, as the platform explicitly advertises 'uncensored' interactions. This creates a blind spot for detecting malicious abuse or data harvesting.

Not certain from the listing — compliance with privacy regulations (such as GDPR/CCPA) regarding intimate user data, age verification mechanisms, and data deletion rights is not detailed.

The agent operates as a closed, standalone platform with isolated chat rooms and does not interact with external agent marketplaces or third-party agent ecosystems, minimizing multi-agent cascading risks.