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AI Video Genie — agentic threat model

8.1AIVSS 8.1 · High

AI Video Genie exhibits moderate-to-high agentic risk due to its high autonomy in making creative decisions and generating video/audio assets from arbitrary external inputs (URLs, PDFs). The primary security concerns involve prompt injection via ingested documents and the unauthorized generation of deepfakes or brand-damaging content.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 6.5AARS uplift 1.65Factor sum 4.7/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.80
Goal-Driven Planning
0.70
Self-Modification
0.10
Dynamic Tool Use
0.40
Persistent Memory
0.30
Contextual Awareness
0.50
Dynamic Identity
0.20
Multi-Agent Interactions
0.20
Non-Determinism
0.80
Opacity & Reflexivity
0.70

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⚠ not certain from listing

Not certain from the listing — likely relies on third-party LLMs for script generation and proprietary or third-party text-to-video/TTS models. Vulnerable to prompt injection via uploaded documents or URLs, leading to inappropriate video generation.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — processes uploaded PDFs, whitepapers, and URLs. Vulnerable to data exfiltration of sensitive documents, or SSRF/malicious content ingestion when parsing external URLs.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — orchestrates script writing, asset selection, and video rendering. Vulnerable to indirect prompt injection where malicious text in a PDF hijacks the 'director' planning phase.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — hosted as a closed-source SaaS. Risks include insecure handling of uploaded media assets, lack of sandboxing during URL scraping, and potential exposure of brand kit assets.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — no details on automated guardrails to prevent generation of deepfakes, copyright-infringing content, or brand-damaging material.

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

Not certain from the listing — lacks explicit mention of compliance certifications (e.g., SOC2), access controls for brand kits, or user authentication standards.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — operates primarily as a standalone vertical agent, but integration with external content sources (URLs) introduces minor ecosystem trust risks.

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