Seedance25AI — agentic threat model
Seedance25AI is a low-risk, browser-based video generation agent with minimal agentic autonomy, primarily functioning as a deterministic creative tool with limited exposure to critical enterprise systems.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.80 | |
| Opacity & Reflexivity | 0.50 |
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 proprietary text-to-video and image-to-video foundation models. Vulnerable to prompt injection designed to bypass safety filters, leading to the generation of deepfakes, copyrighted material, or explicit content.
Not certain from the listing — likely processes user-uploaded image references and text prompts via standard web forms. Potential risks include data exfiltration of uploaded assets or poisoning of downstream model fine-tuning if user inputs are reused for training.
Orchestrates a simple workflow of prompt enhancement and video generation. The framework is highly constrained with minimal tool-calling capabilities, reducing the risk of arbitrary code execution or tool misuse.
Not certain from the listing — operates as a browser-based SaaS application. Standard web infrastructure threats apply, including server-side rendering vulnerabilities, insecure API endpoints for video rendering, and lack of sandboxing for user-uploaded media processing.
Not certain from the listing — requires input/output guardrails to detect and block generation of harmful, abusive, or infringing video content, but specific evaluation or observability mechanisms are not detailed.
Not certain from the listing — lacks explicit mention of compliance certifications (e.g., SOC2, GDPR) or content moderation policies, which are critical for managing copyright and synthetic media regulations.
Operates as a standalone horizontal creative tool with no multi-agent coordination or marketplace integrations described, resulting in negligible ecosystem risk.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology — every score is re-derived by the same automated method as an agent's public evidence changes.