MakePixelArt — agentic threat model
MakePixelArt is a client-side image processing utility with zero agentic capabilities, presenting negligible AI-specific security risks and relying entirely on local browser execution.
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 mention any foundation model or LLM usage; it appears to be a standard deterministic client-side image processing script.
Not certain from the listing — Processing happens locally in the browser with no server-side data storage, vector databases, or RAG pipelines indicated.
Not certain from the listing — There is no evidence of an agentic framework, orchestration, or tool-calling capabilities; it operates as a simple single-purpose utility.
Not certain from the listing — Hosted as a web application, but since processing is local, infrastructure risks are limited to standard web hosting vulnerabilities (e.g., XSS, CDN compromise).
Not certain from the listing — No monitoring, logging, or guardrails are mentioned, which is typical for a purely client-side static utility.
Not certain from the listing — No authentication, identity management, or compliance certifications are specified, though local processing minimizes data privacy compliance risks.
Not certain from the listing — The tool operates in isolation with no multi-agent 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.