goose — agentic threat model
Goose is an open-source developer tool for task automation, presenting potential risks of arbitrary code execution or tool misuse if deployed without strict sandboxing, though the minimal listing limits a detailed security posture assessment.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.50 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.60 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.20 | |
| Non-Determinism | 0.50 | |
| 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 supported or default LLM configurations are not detailed in the brief description.
Not certain from the listing — There is no mention of data ingestion, vector databases, or RAG pipelines used by Goose.
Not certain from the listing — While described as an AI tool to automate tasks, the specific orchestration, memory, and tool-calling mechanisms are not detailed.
Not certain from the listing — The deployment model (local, cloud, or containerized) and sandboxing controls for executing automated tasks are unspecified.
Not certain from the listing — No built-in evaluation, logging, or guardrail mechanisms are mentioned for monitoring automated tasks.
Not certain from the listing — Compliance certifications, identity management, and access control policies are not documented in the provided text.
Not certain from the listing — It is unclear whether Goose supports multi-agent coordination or integrates with external agent marketplaces.
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. Are you the vendor? Factual corrections are free.