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← trellis 2 3d

trellis 2 3d — agentic threat model

5.1AIVSS 5.1 · Medium

Trellis 2 is a specialized generative AI tool for 3D asset creation with low agentic risk, as it lacks autonomous planning, tool execution, or multi-agent capabilities, though it carries standard risks related to IP theft and GPU resource abuse.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 4.3AARS uplift 0.82Factor sum 1.6/10Threat ×0.9Mitigation ×1.0
Autonomy of Action
0.10
Goal-Driven Planning
0.00
Self-Modification
0.00
Dynamic Tool Use
0.10
Persistent Memory
0.00
Contextual Awareness
0.10
Dynamic Identity
0.00
Multi-Agent Interactions
0.00
Non-Determinism
0.60
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.

L1 · Foundation Models✓ mapped

Uses specialized 3D generative models (Text-to-3D and Image-to-3D). Primary threats include model stealing of proprietary weights (closed source) and adversarial inputs designed to bypass generation safety limits.

L2 · Data Operations✓ mapped

Processes user-provided text prompts and images. Risks include data exfiltration of proprietary input images and potential data poisoning if user uploads are used for future model fine-tuning.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — There is no evidence of an agentic orchestration framework, complex planning, or tool calling beyond basic generation, preview, and export functions.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — Likely hosted on cloud GPU infrastructure. Primary threats at this layer include API abuse, denial of service via resource-intensive 3D rendering, and potential container escape.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — No details are provided regarding output validation, content moderation for generated 3D meshes, or logging of user generation requests.

L6 · Security & Compliance (cross-cutting)⚠ not certain from listing

Not certain from the listing — While it is a paid, closed-source service, there is no mention of enterprise security controls, compliance certifications (e.g., SOC2), or specific access policies.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — The agent operates as a standalone vertical generator with no described multi-agent interactions or marketplace integrations.

MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).