Seedance 2.0 Prompt — agentic threat model
Seedance 2.0 Prompt is a passive, curated prompt library rather than an active AI agent, presenting negligible agentic risk. Its primary security concerns are limited to traditional web application vulnerabilities, such as unauthorized modification of the prompt database.
OWASP AIVSS score rationale
| Autonomy of Action | 0.00 | |
| Goal-Driven Planning | 0.00 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.00 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.10 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.00 | |
| Opacity & Reflexivity | 0.10 |
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.
Not certain from the listing — The tool itself does not run or host foundation models; it is a static directory of prompts designed for external Seedance 2.0 video models.
Not certain from the listing — The prompt library is curated and static, but the underlying storage mechanism, database security, and potential for prompt injection/poisoning in the database are unspecified.
Not certain from the listing — There is no active agent framework, planning, or tool execution logic; it functions purely as a copy-paste utility.
Not certain from the listing — Hosting and infrastructure details for the web library are not provided, though standard web security risks (e.g., XSS on the copy button) apply.
Not certain from the listing — No observability, logging, or prompt validation guardrails are mentioned for users copying or submitting prompts.
Not certain from the listing — Access controls, authentication for contributors, and compliance frameworks are not described in the public directory.
Not certain from the listing — While designed to feed prompts into the Seedance 2.0 platform, there is no automated agent-to-agent integration or ecosystem orchestration described.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).