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Aivirsion — agentic threat model

5.4AIVSS 5.4 · Medium

Aivirsion is a low-risk generative AI video aggregator with minimal agentic autonomy, primarily vulnerable to prompt injection, content policy bypasses (e.g., deepfakes), and third-party API dependency risks.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 4.3AARS uplift 1.08Factor sum 2.0/10Threat ×0.95Mitigation ×1.0
Autonomy of Action
0.10
Goal-Driven Planning
0.00
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
0.70
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.

L1 · Foundation Models✓ mapped

Integrates multiple third-party foundation models (Google Veo, Tencent Hunyuan, Ali Tongyi Wanxiang, Conch). Primary threats include adversarial prompt injection to bypass safety filters, model output misalignment, and potential intellectual property/copyright issues from generated outputs.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — No details are provided regarding data storage, user image upload handling, or vector databases. Standard risks include the leakage of user-uploaded source images used for image-to-video generation.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — The platform appears to function as a direct model aggregator rather than an autonomous agentic framework. Risks are limited to insecure API orchestration and prompt leakage.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — No infrastructure, hosting, or sandboxing details are provided. Key threats include the exposure or theft of API keys for the integrated upstream video models (Google, Tencent, Ali).

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — There is no mention of output moderation, guardrails, or logging. The lack of visible guardrails poses a high risk of generating deepfakes, misinformation, or NSFW content.

L6 · Security & Compliance (cross-cutting)⚠ not certain from listing

Not certain from the listing — No compliance certifications, user authentication mechanisms, or access controls are described. Compliance risks are high regarding copyright laws for generated video assets.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — No multi-agent interactions or marketplace integrations are described. The ecosystem risk is limited to cascading failures or service disruptions from the upstream video API providers.

MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).