Sora AI Video Generator — agentic threat model
Sora AI Video Generator presents low agentic risk due to its lack of autonomy, planning, and tool execution capabilities, acting primarily as a generative asset pipeline. Its primary security risks lie in model output alignment (deepfakes, misinformation), data privacy of uploaded assets, and potential GPU resource abuse.
OWASP AIVSS score rationale
| 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 | 0.20 | |
| Non-Determinism | 0.80 | |
| 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.
Utilizes advanced text-to-video and image-to-video foundation models alongside ChatGPT. Primary threats include adversarial prompt injection to bypass safety filters, model reprogramming, and the generation of mis-aligned or harmful outputs (e.g., deepfakes, copyright violations).
Not certain from the listing — processes user-uploaded photos and text prompts. Risks include data exfiltration of private user assets, lack of data lineage for training inputs, and potential data poisoning if user uploads are ingested back into the model's training pipeline.
Not certain from the listing — orchestration appears limited to simple API integration with OpenAI's ChatGPT for image generation. Risks include insecure tool integration, API key exposure, and lack of validation on the structured data passed between the web UI and the generation models.
Not certain from the listing — hosted as an online platform requiring no local installation. Vulnerable to GPU resource exhaustion (DDoS on rendering infrastructure), container escape on the rendering nodes, and unauthorized access to cloud storage buckets containing generated videos.
Not certain from the listing — requires robust input/output guardrails to detect and block requests for generating deepfakes of real people, explicit content, or copyrighted characters. Lack of observability could lead to undetected abuse of the platform.
Not certain from the listing — requires standard web authentication and authorization to protect user accounts and generated assets. Compliance challenges include alignment with emerging deepfake regulations (e.g., EU AI Act watermarking requirements) and copyright/IP protection.
Not certain from the listing — ecosystem interaction is limited to the ChatGPT integration. Risks include upstream supply chain vulnerabilities if the OpenAI API is compromised or returns malicious payloads that exploit the video generator's parser.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).