Random Pokemon Generator — agentic threat model
The Random Pokemon Generator is a low-risk, non-agentic utility tool with minimal autonomy, posing virtually no systemic or agentic security threats beyond standard client-side web 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 | 0.10 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.40 | |
| 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 — The tool may not use a foundation model at all, potentially relying on a simple procedural script or database query. If an LLM is used, risks like prompt injection are negligible due to structured filter inputs.
Not certain from the listing — Likely retrieves Pokémon data and HD images from a static local database or a public API (e.g., PokéAPI). Data poisoning risks are minimal unless the upstream public API is compromised.
Not certain from the listing — There is no evidence of an agentic framework, planning capabilities, or dynamic tool execution. The application behaves as a standard deterministic or semi-random web utility.
Not certain from the listing — Hosted as a public web application with no login required. Standard web infrastructure risks (such as hosting server compromise or DDoS) apply, but no sensitive secrets or sandboxing are required.
Not certain from the listing — No observability, LLM guardrails, or evaluation metrics are mentioned, which is typical for a simple, free, open-source gaming utility.
Not certain from the listing — The tool requires no login, collects no user data, and has no access controls or compliance certifications, presenting a very low compliance risk profile.
Not certain from the listing — Operates entirely as a standalone application with no multi-agent coordination, marketplace integrations, or external agent ecosystem dependencies.
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. Are you the vendor? Factual corrections are free.