Size Chart Maker — agentic threat model
The Size Chart Maker exhibits low agentic risk due to its narrow, utility-focused scope of converting product photos into structured size charts. Primary security concerns are restricted to standard web/API vulnerabilities, input validation of uploaded images, and ensuring exported files (Excel/PDF) do not contain injection payloads.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.40 | |
| Opacity & Reflexivity | 0.30 |
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.
Uses vision-language models to analyze product photos and map them to size charts. Vulnerable to adversarial image attacks (visual prompt injection) that could manipulate sizing outputs, leading to incorrect charts and high return rates.
Processes user-uploaded product photos and references global sizing standards. Risks include data exfiltration of proprietary clothing designs prior to launch and potential poisoning of the global standards reference database.
Orchestrates the conversion of visual data into structured formats and exports them. Vulnerable to tool misuse during the export phase, such as injecting malicious payloads into generated Excel, PDF, or PNG files (e.g., CSV injection).
Not certain from the listing — Hosted on an AI Agents Platform and exposed via API. Standard infrastructure risks apply, including insecure file upload handling for product photos and lack of sandboxing during image processing.
Not certain from the listing — No explicit mention of evaluation frameworks or guardrails to verify the accuracy of generated size charts before they are exported to production catalogs.
Not certain from the listing — Compliance controls, tenant isolation for proprietary catalog data, and API authentication mechanisms are not detailed in the public directory.
Not certain from the listing — While part of an AI Agents Platform, there is no evidence of multi-agent collaboration or autonomous marketplace interactions that could trigger cascading failures.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).