← forvideo AI: Veo 3.1, Sora 2 Video
forvideo AI: Veo 3.1, Sora 2 Video — agentic threat model
forvideo AI is primarily a generative video aggregation tool with low agentic risk, where the primary threats center on prompt injection, safety filter bypass for deepfakes, and the secure handling of user-uploaded media assets.
OWASP AIVSS score rationale
| 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 | 0.80 | |
| 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.
Utilizes external video foundation models (Veo 3.1, Sora 2, Kling, Hailuo, Wan). Primary threats include prompt injection to bypass safety filters (generating deepfakes or NSFW content) and model-specific vulnerabilities.
Not certain from the listing — Processes user-provided text and images to generate videos. Threats include data exfiltration of user-uploaded assets and potential lack of data lineage or secure storage for generated media.
Not certain from the listing — Acts as an orchestrator calling external video APIs. Threats include insecure API integration, lack of input validation before forwarding prompts to third-party models, and API key exposure.
Not certain from the listing — Closed-source web application. Threats include standard web application vulnerabilities (OWASP Top 10), insecure hosting infrastructure, and lack of sandboxing for media processing.
Not certain from the listing — No mention of built-in content moderation, guardrails, or logging. Threats include a lack of input/output filtering to prevent the generation of copyrighted, harmful, or abusive video content.
Not certain from the listing — No security certifications or compliance frameworks are mentioned. Threats include unauthorized user access to accounts and lack of alignment with copyright or privacy regulations.
Operates as a standalone horizontal tool. There is no indication of multi-agent coordination, marketplace interactions, or agent-to-agent trust relationships.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).