ShortsMonkey — agentic threat model
ShortsMonkey is a low-risk, read-only YouTube research tool service operating via the Model Context Protocol (MCP). Its primary security risks stem from indirect prompt injection via untrusted YouTube metadata and the security posture of the client agents connecting to its MCP server.
OWASP AIVSS score rationale
| Autonomy of Action | 0.00 | |
| Goal-Driven Planning | 0.00 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.10 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.10 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| 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 — ShortsMonkey is an MCP tool provider rather than a foundation model host. The actual LLM risks, such as adversarial prompt injection or model reprogramming, depend entirely on the external client (e.g., Cursor Agent) that connects to this service.
Not certain from the listing — The service aggregates YouTube data and stores historical research results. Risks include data poisoning if YouTube API returns malicious payloads, and potential data exfiltration of users' historical CSV research.
ShortsMonkey exposes tools via the Model Context Protocol (MCP). The primary threat is insecure tool integration or indirect prompt injection, where malicious YouTube video metadata (e.g., crafted titles or descriptions) is fed into the calling LLM, hijacking its execution flow.
Not certain from the listing — The hosting infrastructure for the web app and the MCP server is unspecified. Threats include standard web application vulnerabilities, insecure API endpoints, and potential Server-Side Request Forgery (SSRF) if the MCP server fetches external resources insecurely.
Not certain from the listing — There is no mention of logging, guardrails, or monitoring for the MCP tool execution or web application usage.
Not certain from the listing — No security certifications, authentication mechanisms for the MCP endpoint, or compliance alignments are specified in the public directory.
ShortsMonkey acts as a tool provider in the Cursor/MCP ecosystem. The threat is trust abuse, where a compromised client agent abuses the ShortsMonkey MCP tools to scrape data or perform denial-of-service on the underlying APIs.
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.