Yahoo Finance MCP — agentic threat model
A low-risk, read-only financial data tool wrapper whose primary security concern is indirect prompt injection from untrusted news text fetched from Yahoo Finance.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.10 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.20 | |
| 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 MCP server does not include a model, but the calling LLM is vulnerable to indirect prompt injection via untrusted news text returned by the API.
Not certain from the listing — Data is fetched dynamically from Yahoo Finance; there is no local vector store, but upstream data poisoning remains a theoretical risk.
The tool surface is strictly read-only financial queries, minimizing tool misuse risks, though the returned news text represents untrusted input that could trigger indirect prompt injection in the calling framework.
Not certain from the listing — Host security and sandboxing depend entirely on the user's deployment environment, though internet egress is required to fetch financial data.
Not certain from the listing — No logging, monitoring, or input-filtering guardrails are described in this open-source wrapper.
The tool requires no authentication and accesses only public market data, resulting in a low compliance and authorization security surface.
Not certain from the listing — While it can be integrated into multi-agent systems via MCP, the server itself does not establish agent-to-agent trust or coordination protocols.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).