Cursor Team Kit — agentic threat model
The Cursor Team Kit presents a high-risk profile due to its ability to execute shell commands and CI automation directly on the developer's local machine without sandboxing. A prompt injection or malicious codebase could lead to arbitrary code execution, local host compromise, and supply chain contamination.
OWASP AIVSS score rationale
| Autonomy of Action | 0.70 | |
| Goal-Driven Planning | 0.80 | |
| Self-Modification | 0.20 | |
| Dynamic Tool Use | 0.90 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.30 | |
| Multi-Agent Interactions | 0.30 | |
| Non-Determinism | 0.60 | |
| 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 — The specific foundation models are not disclosed, though it likely leverages Cursor's integrated LLMs. The primary threat is indirect prompt injection via malicious code repositories, leading to unauthorized local command execution.
Not certain from the listing — No dedicated vector database or training pipeline is described. The agent operates directly on the local codebase, posing a risk of sensitive code exfiltration if the agent is compromised.
The agent orchestrates local shell commands and CI workflows. The primary threat is insecure tool integration, where malicious inputs or prompt injections can hijack the tool-calling mechanism to execute arbitrary shell commands.
The agent is deployed locally as a Cursor plugin on the developer's machine. Because no sandboxing is mentioned, any compromise of the plugin translates directly to host machine takeover, credential theft, and potential lateral movement.
Not certain from the listing — There is no mention of built-in evaluation, logging, or guardrail frameworks, creating a significant blind spot for detecting anomalous or malicious local command execution.
Not certain from the listing — Lacks explicit mention of access controls, policy enforcement, or compliance auditing, relying entirely on the host developer's local user permissions.
Not certain from the listing — While it supports 'agent flows', there is no explicit multi-agent marketplace or A2A trust framework described beyond local integration.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).