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roboneo art — agentic threat model

6.0AIVSS 6.0 · Medium

Roboneo.art is primarily a generative image studio with low agentic risk, as it lacks autonomous planning, tool execution, or self-modification capabilities. The primary security risks are concentrated in model abuse (generating harmful content) and standard web application/infrastructure vulnerabilities.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 5.0AARS uplift 1.04Factor sum 2.2/10Threat ×0.95Mitigation ×1.0
Autonomy of Action
0.10
Goal-Driven Planning
0.10
Self-Modification
0.00
Dynamic Tool Use
0.20
Persistent Memory
0.10
Contextual Awareness
0.20
Dynamic Identity
0.00
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.

L1 · Foundation Models✓ mapped

Uses multiple specialized image generation models (diffusion, ControlNet). Threats include adversarial prompt injection (jailbreaking to bypass safety filters and generate NSFW/copyrighted content), model stealing, and output misalignment.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — likely processes user-uploaded images for Image-to-Image and Inpainting. Threats include data poisoning if user uploads are used for fine-tuning, and potential data exfiltration of private user assets.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — despite the 'AI Agents Frameworks' tag, the description suggests a standard pipeline-based image generation UI rather than an autonomous agent framework. Threats include insecure tool integration if prompt assistance or editing tools execute arbitrary code.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — likely hosted on cloud infrastructure with GPU acceleration. Threats include container compromise, resource exhaustion (GPU denial of service), and unauthorized access to model weights.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — no mention of content moderation guardrails or output monitoring, which are critical for preventing the generation of harmful or illegal imagery.

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

Not certain from the listing — no details on user authentication, access controls, or compliance with copyright/privacy regulations (e.g., GDPR).

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — operates as a standalone vertical creative studio with no apparent multi-agent or marketplace integrations.

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