Build A Player — agentic threat model
Build A Player is a low-risk, browser-based simulation toy with minimal to no agentic capabilities. The primary security risks are limited to standard web application vulnerabilities, such as client-side manipulation of simulation results or cross-site scripting (XSS) in shareable outputs.
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 | 0.10 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.20 | |
| Opacity & Reflexivity | 0.10 |
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 — it is unclear if a foundation model is used at all, or if the simulation relies on deterministic mathematical algorithms. If an LLM is used to generate the season narrative, it faces minor risks of prompt injection to manipulate player ratings or generate offensive text.
Not certain from the listing — there is no indication of RAG, vector databases, or external data ingestion. The application likely uses static, pre-defined basketball traits and simulation parameters.
Not certain from the listing — there is no evidence of an agent framework, planning loops, or tool-calling capabilities. The application operates as a structured, user-driven wizard.
Not certain from the listing — the application is browser-based, meaning client-side security is paramount. Threats are limited to standard web vulnerabilities like DOM-based XSS or manipulation of local state to forge simulation results.
Not certain from the listing — no evaluation, guardrails, or observability mechanisms are mentioned. Given the low complexity, standard web logging is likely the only monitoring in place.
Not certain from the listing — there are no mentioned security controls, user authentication, or compliance certifications. It appears to be a public, unauthenticated utility.
Not certain from the listing — the application operates in complete isolation with no multi-agent coordination or ecosystem integrations.
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.