core-web-vitals — agentic threat model
The core-web-vitals agent presents a high-risk profile due to its capability to directly edit frontend code and configurations. Without explicit sandboxing or human-in-the-loop controls, a compromise or prompt injection attack could result in arbitrary code injection, downstream XSS, or repository compromise.
OWASP AIVSS score rationale
| Autonomy of Action | 0.70 | |
| Goal-Driven Planning | 0.60 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.70 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.70 | |
| Opacity & Reflexivity | 0.50 |
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 — likely relies on commercial or open-source LLMs for code generation and diagnosis. Primary threats include indirect prompt injection via analyzed web page content, leading to malicious code generation.
Not certain from the listing — likely ingests local frontend source code, configuration files, and Lighthouse performance reports. Gaps in data provenance could allow malicious source files to manipulate the agent's behavior.
The agent orchestrates diagnostic tools and code-writing capabilities. Insecure tool integration is a critical threat here, as the write-access tools used to edit frontend code and configuration could be hijacked to inject backdoors or malicious scripts.
Not certain from the listing — requires write access to the codebase repository or local file system to apply fixes. If the execution environment is not strictly sandboxed, a compromised agent could lead to host container compromise or unauthorized repository-wide access.
Not certain from the listing — uses Lighthouse-derived methodology for performance evaluation, but lacks clear security-focused guardrails or anomaly detection to verify that code modifications do not introduce security vulnerabilities.
Not certain from the listing — no mention of access control, identity management, or audit logging to track and authorize the code modifications performed by the agent.
Not certain from the listing — designed as an individual skill, but if integrated into a larger multi-agent developer ecosystem, it could be targeted by upstream compromised agents to commit malicious code.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).