wan2-6.org — agentic threat model
Wan 2.6 is a specialized video generation agent with low autonomy and planning capabilities, presenting primary risks around non-deterministic output generation, potential deepfake creation, and intellectual property concerns rather than systemic infrastructure control.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.70 | |
| 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.
Uses the Wan 2.6 foundation model for video generation. Key threats include adversarial prompt injections to bypass safety filters, model stealing of proprietary weights, and output misalignment leading to the generation of deepfakes, CSAM, or copyrighted material.
Not certain from the listing — The agent processes user-provided text, images, and short video clips. Risks include data exfiltration of sensitive user-uploaded media, lack of secure data retention policies, and potential poisoning if user data is recycled for model fine-tuning.
Not certain from the listing — Orchestration is likely limited to a linear pipeline converting inputs to video. Risks include insecure handling of media file formats (leading to remote code execution) and prompt injection manipulating the generation parameters.
Not certain from the listing — Hosted as a web service/API. Threats include Server-Side Request Forgery (SSRF) if the API allows fetching input media from external URLs, and standard container/host compromise on GPU-heavy infrastructure.
Not certain from the listing — No details are provided regarding output moderation, automated guardrails, or logging of generated content to detect abuse, creating a blind spot for malicious video generation.
Not certain from the listing — No compliance certifications (e.g., SOC2, ISO) or explicit identity and access management controls are mentioned for the API or freemium model.
Not certain from the listing — Primarily functions as a standalone video generation utility with no indicated multi-agent coordination or marketplace ecosystem integrations.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).