xiaofei li — agentic threat model
xiaofei li is a closed-source generative AI video model with low agentic autonomy but high potential for misuse in generating realistic synthetic media (deepfakes). Its primary risks stem from model opacity, non-determinism, and the generation of highly convincing multi-shot video and synchronized audio without explicit safety controls detailed in the listing.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.40 | |
| 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 | 0.80 | |
| Opacity & Reflexivity | 0.90 |
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.
The foundation layer consists of ByteDance's closed-source generative video and audio models. Key threats include adversarial prompt injection to bypass safety filters, model extraction/stealing, and the generation of harmful or copyright-infringing synthetic media.
Not certain from the listing — details regarding the training dataset, video/audio corpus, or any retrieval-augmented generation (RAG) data sources are not provided. Potential threats include data poisoning and copyright infringement claims.
Not certain from the listing — the orchestration framework managing the multi-shot narration and audio-video synchronization is proprietary. Threats include logic flaws in shot-splitting or prompt parsing that could be exploited to generate unintended content.
Not certain from the listing — the hosting infrastructure (presumably ByteDance cloud) is undisclosed. Threats include resource exhaustion (denial of service) due to the high computational cost of 2K video generation, and potential server-side request forgery (SSRF) if the model accepts external URL inputs.
Not certain from the listing — there is no mention of built-in guardrails, output filtering, or deepfake detection mechanisms. Gaps in observability could allow users to generate policy-violating content undetected.
Not certain from the listing — compliance with synthetic media regulations (such as watermarking requirements under the EU AI Act or China's CAC provisions) is not detailed. The paid, closed-source nature suggests basic access controls, but specific compliance frameworks are unverified.
Not certain from the listing — the agent operates as a standalone video generator with no indicated multi-agent or marketplace integrations. Ecosystem threats are currently minimal.
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. Are you the vendor? Factual corrections are free.