A2UI — agentic threat model
A2UI is a secure UI-rendering protocol for AI agents designed to mitigate risky code execution during interface generation. Its primary risk lies in UI spoofing, injection, or protocol parsing vulnerabilities across diverse client platforms.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.40 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.20 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.30 | |
| Non-Determinism | 0.30 | |
| Opacity & Reflexivity | 0.20 |
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 — A2UI is a protocol/framework for UI creation rather than a foundation model, though it relies on external LLMs to generate the UI structures or protocol messages.
Not certain from the listing — The description does not specify how data is stored, if RAG is utilized, or how vector databases are handled during UI generation.
As an agent framework protocol, A2UI specifically addresses the threat of 'risky code execution' by providing a safe UI rendering protocol instead of executing arbitrary code. Threats here include protocol parsing vulnerabilities, UI injection, or spoofing of UI elements.
Not certain from the listing — As an open-source protocol, deployment depends on the integrator. However, because it spans 'multiple platforms', cross-platform client security and secure transport of the protocol are critical infrastructure concerns.
Not certain from the listing — There is no mention of built-in logging, monitoring, or guardrails for validating the generated protocol messages before rendering.
Not certain from the listing — While the protocol explicitly aims to prevent 'risky code execution' (a strong security control), specific compliance alignments, identity management, and authorization policies are not detailed.
The protocol enables 'AI agents' to create interactive UIs, implying it operates in an ecosystem where agents interact with users or other systems. Threats include UI redressing, phishing, or malicious agents exploiting the protocol to deceive users.
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.