Nextpart AI — agentic threat model
Nextpart AI presents low agentic risk due to its lack of autonomous real-world action execution, but poses severe privacy and confidentiality risks due to the highly sensitive, intimate nature of unrestricted NSFW user interactions and potential data exfiltration.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.30 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.80 | |
| Opacity & Reflexivity | 0.70 |
Scored with the canonical OWASP AIVSS formula (AIVSS calculator reference); agentic risk factors estimated from the agent’s described capabilities.
MAESTRO 7-layer threat model
Per-layer threats for this agent. Layers tagged “not certain from listing” are general, caveated commentary where the public description didn’t pin that layer.
Not certain from the listing — uses unspecified LLMs for text, voice, and image generation. High risk of adversarial prompt injection, jailbreaks (though NSFW is allowed, other malicious outputs like malware generation or extreme hate speech might bypass basic alignment), and model reprogramming.
Not certain from the listing — likely stores highly sensitive user chat histories, custom character profiles, and generated media. Risks include data exfiltration of intimate user data, lack of encryption at rest/in transit, and potential leakage of private user inputs into shared context.
Not certain from the listing — orchestration is likely a basic chatbot loop triggering text, voice, and image generation APIs. Vulnerabilities could include insecure tool integration where chat context triggers unauthorized image/voice generation or resource exhaustion.
Not certain from the listing — hosted on cloud infrastructure to serve web traffic, voice, and image generation. Risks include container compromise, lack of sandboxing for generation tools, and exposure of internal APIs.
Not certain from the listing — likely lacks robust guardrails given the 'no NSFW filter' design. This creates blind spots for detecting abusive, illegal, or non-consensual content generation.
Not certain from the listing — closed-source, freemium platform with no mentioned compliance certifications (e.g., GDPR, SOC2). High risk regarding user privacy, data deletion rights, and age verification compliance for NSFW content.
No multi-agent or marketplace interactions are described; the agent operates as a standalone user-to-AI chatbot, minimizing ecosystem-level cascading risks.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.