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vo4 video ai — agentic threat model

5.4AIVSS 5.4 · Medium

VO4 Video AI is a generative video creation tool with low agentic risk, primarily posing threats related to model misuse, content generation safety, and resource abuse rather than autonomous system compromise.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 4.3AARS uplift 1.14Factor sum 2.1/10Threat ×0.95Mitigation ×1.0
Autonomy of Action
0.10
Goal-Driven Planning
0.20
Self-Modification
0.00
Dynamic Tool Use
0.00
Persistent Memory
0.10
Contextual Awareness
0.20
Dynamic Identity
0.00
Multi-Agent Interactions
0.00
Non-Determinism
0.70
Opacity & Reflexivity
0.80

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

Utilizes the proprietary VO4 Model for motion synthesis and video generation. Primary threats include adversarial prompt injection to bypass safety filters, model stealing, and the generation of deepfakes or copyrighted material.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — The system processes user-provided text prompts and images to generate video. Potential threats include the exfiltration of sensitive user-uploaded images and the unauthorized use of user data for model fine-tuning without consent.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — The tool features 'multi-shot storytelling' which implies some sequential generation logic, but there is no evidence of an active agent framework, tool-calling, or autonomous planning capabilities.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — Delivered as a closed-source SaaS (VO4 Pro). The infrastructure is highly vulnerable to GPU resource exhaustion attacks due to the heavy computational demands of 1080p video rendering.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — No details are provided regarding output monitoring, content moderation guardrails, or abuse detection mechanisms to prevent the generation of harmful or illicit video content.

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

Not certain from the listing — The service operates on a paid/free trial model but does not disclose compliance certifications, data privacy policies, or identity management standards.

L7 · Agent Ecosystem✓ mapped

The tool operates as a standalone vertical video generator with no multi-agent orchestration, marketplace integrations, or agent-to-agent communication described.

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