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ChatGPT Images — agentic threat model

5.8AIVSS 5.8 · Medium

ChatGPT Images is a low-autonomy, image-generation agent focused on multi-panel rendering and brand kit exports. Its primary security risks center around prompt injection bypassing safety filters and the potential exposure of uploaded brand assets.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 4.3AARS uplift 1.54Factor sum 2.7/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.20
Goal-Driven Planning
0.20
Self-Modification
0.00
Dynamic Tool Use
0.30
Persistent Memory
0.20
Contextual Awareness
0.40
Dynamic Identity
0.00
Multi-Agent Interactions
0.00
Non-Determinism
0.80
Opacity & Reflexivity
0.60

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 GPT Image 1.5 as its foundation model. Primary threats include adversarial prompt injection to bypass safety filters (generating inappropriate or copyrighted content) and style extraction of proprietary brand assets.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — The agent handles 'brand kit exports' which implies storage of user-provided brand assets (logos, color schemes, fonts). Gaps in data lineage or insecure storage could lead to unauthorized data exfiltration of corporate brand assets.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — Orchestration involves a 'nine-panel control' and 'built-in editor' for iterative edits. Vulnerabilities could exist in how the orchestration framework parses per-panel prompts or handles state transitions during iterative editing.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — Hosted closed-source solution. Standard infrastructure threats apply, such as insecure API endpoints for downloading layered assets or lack of sandboxing during image rendering/manipulation.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — No mention of built-in content moderation guardrails or output evaluation to prevent the generation of toxic, misleading, or brand-damaging imagery before it is exported.

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

Not certain from the listing — No details are provided regarding user authentication, access controls for shared team brand kits, or compliance with data privacy regulations for uploaded assets.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — The agent operates as a standalone horizontal tool; there is no indication of multi-agent interactions or ecosystem integration risks.

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