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Flow Veo 3 — agentic threat model

6.3AIVSS 6.3 · Medium

Flow Veo 3 is a low-autonomy generative video agent with risks primarily centered on model abuse (e.g., deepfakes, copyright infringement) and API resource exhaustion rather than autonomous decision-making or system compromise.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 5.3AARS uplift 1.03Factor sum 2.2/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.10
Goal-Driven Planning
0.10
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
0.80
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

Uses advanced video synthesis foundation models. Highly vulnerable to adversarial prompt injections designed to bypass safety filters, model extraction/stealing via API probing, and generating misaligned or harmful visual outputs.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — The data operations layer likely handles large image/video uploads and training datasets. Risks include data exfiltration of user-uploaded assets and intellectual property/copyright provenance gaps regarding the training data.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — The orchestration framework appears limited to sequential video generation and extension tasks rather than complex tool-calling or autonomous planning, reducing the risk of classic agentic tool misuse.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — The infrastructure must support heavy GPU rendering workloads. Primary threats include API denial-of-service (DoS), resource exhaustion, and unauthorized API access leading to financial/billing abuse.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — There is no mention of automated content moderation, output guardrails, or observability tools to detect and block the generation of deepfakes, misinformation, or explicit content.

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

Not certain from the listing — No compliance certifications (such as SOC2 or ISO 27001) or specific user authentication/authorization controls are detailed for the API or platform.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — The agent operates as a standalone vertical API and does not currently feature multi-agent collaboration or marketplace integrations, minimizing ecosystem-level cascading risks.

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