MinusX — agentic threat model
MinusX presents a high-risk profile due to its ability to execute SQL queries, modify dashboards, and interact with Jupyter environments by clicking and typing like a human, creating a direct vector for unauthorized data modification or exfiltration if compromised.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.80 | |
| Self-Modification | 0.30 | |
| Dynamic Tool Use | 0.80 | |
| Persistent Memory | 0.50 | |
| Contextual Awareness | 0.80 | |
| Dynamic Identity | 0.40 | |
| Multi-Agent Interactions | 0.70 | |
| Non-Determinism | 0.70 | |
| Opacity & Reflexivity | 0.70 |
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 powering MinusX are not disclosed. Standard risks of prompt injection leading to unauthorized SQL generation or malicious UI interactions apply.
MinusX directly interacts with governed data models, databases, Metabase, and Jupyter. This exposes the system to severe data exfiltration, unauthorized data modification, and SQL injection risks if malicious inputs are processed.
The agent framework orchestrates multi-step data analysis, dashboard modifications, and UI interactions (clicking/typing). Insecure tool integration or lack of strict validation on generated SQL queries could allow arbitrary command execution or destructive database operations.
Not certain from the listing — the hosting architecture, sandboxing of the Jupyter execution environment, and credential storage mechanisms for database/BI tool access are not detailed.
Not certain from the listing — there is no mention of built-in guardrails, real-time monitoring, or audit logging to detect and block anomalous agent actions or malicious SQL generation.
Not certain from the listing — while 'governed data models' are mentioned, the specific identity, authorization, and access control policies governing the agent's database permissions are not defined.
MinusX utilizes multiple specialized data agents. This multi-agent setup introduces risks of cascading failures, privilege escalation across agent boundaries, and trust abuse if one specialized agent is compromised.
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.