Image-to-Video-ai-tool — agentic threat model
The agent exhibits very low agentic risk, functioning primarily as a single-turn generative utility rather than an autonomous agent. The primary security concerns are data privacy of uploaded assets, API key exposure for the underlying video models, and potential abuse for generating deepfakes or copyrighted material.
OWASP AIVSS score rationale
| 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 | 0.70 | |
| 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.
Integrates 16+ external foundation models (Veo, Kling, Runway, Wan). Primary threats include adversarial prompt injection to bypass safety filters (generating NSFW or copyrighted content) and model output misalignment.
Not certain from the listing — details on how uploaded images and generated videos are stored, cached, or processed are not provided. Potential risks include data exfiltration of user-uploaded images or unauthorized access to generated video assets.
Not certain from the listing — the orchestration layer appears to be a simple router to third-party video APIs rather than a complex agentic framework. Risks include insecure API integration or parameter injection in model selection.
Not certain from the listing — deployment details are undisclosed. Standard web application risks apply, such as unauthorized access to API keys for the 16+ video models and potential server-side request forgery (SSRF) during image upload.
Not certain from the listing — no mention of content moderation guardrails or output monitoring. Lack of observability could allow users to generate harmful, deepfake, or copyrighted video content undetected.
Not certain from the listing — compliance standards (e.g., GDPR, copyright/commercial rights verification) are unverified. Commercial usage rights are claimed, but compliance mechanisms for intellectual property are not detailed.
The tool acts as a gateway to an ecosystem of 16+ external video generation models. Risks include cascading failures if upstream model APIs (Google, Kuaishou, Runway) go down or change their terms of service.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).