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web-design-guidelines — agentic threat model

5.5AIVSS 5.5 · Medium

This agent is a low-risk, read-only UI code auditor. Its primary security risks stem from potential prompt injection via malicious source code being audited and supply chain vulnerabilities inherent in open-source developer tools.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 4.8AARS uplift 0.69Factor sum 1.4/10Threat ×0.95Mitigation ×1.0
Autonomy of Action
0.10
Goal-Driven Planning
0.20
Self-Modification
0.00
Dynamic Tool Use
0.10
Persistent Memory
0.00
Contextual Awareness
0.30
Dynamic Identity
0.00
Multi-Agent Interactions
0.00
Non-Determinism
0.40
Opacity & Reflexivity
0.30

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.

L1 · Foundation Models⚠ not certain from listing

Not certain from the listing — the underlying LLM is not specified, but it is vulnerable to indirect prompt injection where malicious UI code being audited contains instructions that manipulate the model's evaluation or output.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — the reference guidelines and UI code are the primary data inputs. If the guidelines are fetched dynamically, they could be poisoned; if static, the risk is limited to local data exposure of the audited code.

L3 · Agent Frameworks✓ mapped

The agent is implemented as an 'antfu skill' (likely integrated into a developer CLI or IDE environment). Vulnerabilities in the orchestration framework could allow local file path traversal or execution of arbitrary code if the tool execution is not sandboxed.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — likely runs locally in the developer's environment or a CI/CD pipeline. If run locally, it inherits the user's local permissions, posing a risk if malicious UI code triggers local command execution.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — there is no mention of logging, guardrails, or evaluation frameworks to detect drift, biased UX recommendations, or prompt injection attempts during audits.

L6 · Security & Compliance (cross-cutting)⚠ not certain from listing

Not certain from the listing — no built-in authentication, authorization, or compliance controls are mentioned. It relies entirely on the host environment's security posture.

L7 · Agent Ecosystem✓ mapped

As an open-source 'antfu skill', it exists in a developer ecosystem where supply chain attacks (e.g., malicious updates to the skill repository) could compromise downstream developer environments.

MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).