Body Type Calculator — agentic threat model
The Body Type Calculator is a static, low-risk utility with virtually no agentic capabilities, autonomy, or data persistence, presenting negligible security risk beyond standard web hosting vulnerabilities.
OWASP AIVSS score rationale
| Autonomy of Action | 0.00 | |
| Goal-Driven Planning | 0.00 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.00 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.00 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.00 | |
| Opacity & Reflexivity | 0.00 |
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.
Not certain from the listing — The description does not clarify if an LLM is used at all, or if it is a purely deterministic mathematical formula. If an LLM is used for styling advice, it faces low-risk prompt injection or output bias.
Not certain from the listing — There is no indication of a database, RAG, or vector store. It likely processes inputs ephemerally in the browser, presenting minimal data exposure risk.
Not certain from the listing — No agentic framework is mentioned. The tool appears to be a simple single-turn calculator rather than an orchestrated agent.
Not certain from the listing — Hosted as a web browser tool. Standard web application security risks (XSS, hosting provider compromise) apply, but no advanced agent sandboxing is required.
Not certain from the listing — No monitoring, logging, or guardrails are described. Given the low-risk nature of body shape calculations, complex AI observability is likely absent.
Not certain from the listing — No authentication, authorization, or compliance frameworks are mentioned. The tool is free, public, and does not appear to collect PII.
The tool operates entirely in isolation with no multi-agent or ecosystem integrations, presenting zero risk of cascading agent-to-agent failures.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology — every score is re-derived by the same automated method as an agent's public evidence changes.