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VectorUbi — agentic threat model

5.3AIVSS 5.3 · Medium

VectorUbi is a low-risk, single-purpose generative AI tool with minimal agentic autonomy. The primary security risks are limited to prompt injection, generation of inappropriate content, and potential SVG-based vulnerabilities such as embedded malicious scripts.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 4.3AARS uplift 1.03Factor sum 1.9/10Threat ×0.95Mitigation ×1.0
Autonomy of Action
0.10
Goal-Driven Planning
0.10
Self-Modification
0.00
Dynamic Tool Use
0.10
Persistent Memory
0.10
Contextual Awareness
0.20
Dynamic Identity
0.00
Multi-Agent Interactions
0.00
Non-Determinism
0.70
Opacity & Reflexivity
0.60

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⚠ not certain from listing

Not certain from the listing — likely relies on a specialized text-to-image or text-to-vector foundation model. Vulnerable to adversarial prompt injection, model stealing, and generation of biased or copyrighted visual content.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — utilizes a dataset of vector graphics/SVGs for style consistency and training. Vulnerable to training data poisoning and intellectual property/copyright infringement claims regarding the training corpus.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — likely uses a simple pipeline rather than a complex agentic framework. Vulnerable to prompt injection that bypasses system instructions to generate restricted or unsafe imagery.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — hosted as a closed-source SaaS. Vulnerable to standard web application threats, GPU/CPU resource exhaustion during generation, and insecure SVG serialization (e.g., XML External Entity or Stored XSS via SVG).

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — no mention of content moderation, output guardrails, or drift monitoring. Vulnerable to generating inappropriate or unsafe imagery without detection.

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

Not certain from the listing — standard freemium SaaS model with quota-based plans. Lacks explicit compliance certifications (e.g., SOC2, GDPR) or robust access controls in the public description.

L7 · Agent Ecosystem✓ mapped

No multi-agent or ecosystem interactions are described; the tool operates as a standalone single-user utility, minimizing ecosystem-level cascading risks.

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