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crystaldba/postgres-mcp — agentic threat model

9.5AIVSS 9.5 · Critical

The crystaldba/postgres-mcp agent presents a high-risk profile due to its capability to execute arbitrary SQL queries and perform database modifications. Its security heavily relies on external database-level access controls, making it highly vulnerable to prompt injection and unauthorized data access if not strictly sandboxed.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 9.0AARS uplift 0.48Factor sum 4.4/10Threat ×1.1Mitigation ×1.0
Autonomy of Action
0.70
Goal-Driven Planning
0.50
Self-Modification
0.10
Dynamic Tool Use
0.80
Persistent Memory
0.20
Contextual Awareness
0.50
Dynamic Identity
0.40
Multi-Agent Interactions
0.10
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.

L1 · Foundation Models⚠ not certain from listing

Not certain from the listing — The listing does not specify the underlying LLM used. Standard LLM threats like prompt injection could lead to unauthorized SQL generation or execution.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — No details on RAG or vector stores are provided. However, the agent directly queries live Postgres databases, making database schema and query results the primary data operations.

L3 · Agent Frameworks✓ mapped

The agent uses the Model Context Protocol (MCP) to expose tools for SQL execution, index tuning, and health checks. Threat of tool misuse is extremely high if prompt injection allows arbitrary write/delete SQL execution.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — The deployment environment (local, containerized, or cloud) is not specified, but it requires network access to a Postgres database, risking credential exposure and lateral movement if the hosting container is compromised.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — No built-in logging, guardrails, or evaluation frameworks are mentioned. Lack of query auditing could lead to undetected malicious database modifications.

L6 · Security & Compliance (cross-cutting)✓ mapped

Configurable read/write access controls are highlighted as the key security concern. Without strict database-level role isolation (least privilege), the agent poses severe compliance and data integrity risks.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — No multi-agent or marketplace interactions are described, though as an MCP tool, it could be orchestrated by other host agents, compounding trust abuse risks.

MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).