DBHub — agentic threat model
DBHub acts as a centralized database gateway exposing read-only SQL query capabilities to LLMs. Its primary risk is high-impact data exfiltration of sensitive database rows and schema exposure if query scoping or SQL safety checks are bypassed.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.60 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.10 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.20 | |
| Opacity & Reflexivity | 0.20 |
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 — DBHub is an MCP tool gateway and does not bundle its own foundation model; model-level threats depend entirely on the external LLM hosting the agent.
Directly interfaces with PostgreSQL, MySQL, SQLite, and DuckDB. The primary threat is data exfiltration of sensitive rows and unauthorized schema/table structure discovery through LLM-driven queries.
Exposes database tools via the Model Context Protocol (MCP). Threat includes tool misuse where prompt injection leads the orchestrating agent to execute unintended read-only SQL queries that bypass safety checks.
Centralizes multiple database credentials on a single server. Threat includes credential theft from the DBHub host or lateral movement to connected database engines if the gateway server is compromised.
Not certain from the listing — While 'built-in SQL safety checks' are mentioned, the listing does not detail query logging, auditing, or anomaly detection mechanisms to flag suspicious data harvesting.
Relies on connection credentials and query scoping to define its risk profile. Threat includes insufficient access controls (lack of row-level or table-level restrictions) allowing users to query unauthorized data.
Not certain from the listing — DBHub acts as a single-agent tool provider; multi-agent trust abuse or cascading failures depend on the broader ecosystem in which this MCP server is deployed.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).