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Neo4j MCP Server (Cypher) — agentic threat model

9.9AIVSS 9.9 · Critical

The Neo4j MCP Server presents a high-risk profile due to its capability to execute arbitrary Cypher read/write queries and manage Aura instances, effectively delegating complete database access to the calling agent. Without strict credential scoping or query-filtering guardrails, it is highly vulnerable to prompt injection attacks that can lead to data exfiltration or destruction.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 9.8AARS uplift 0.07Factor sum 3.0/10Threat ×1.1Mitigation ×1.0
Autonomy of Action
0.80
Goal-Driven Planning
0.10
Self-Modification
0.00
Dynamic Tool Use
0.90
Persistent Memory
0.00
Contextual Awareness
0.20
Dynamic Identity
0.40
Multi-Agent Interactions
0.10
Non-Determinism
0.30
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.

L1 · Foundation Models⚠ not certain from listing

Not certain from the listing — The MCP server itself does not bundle a foundation model, but relies on the calling agent's LLM. Threats include prompt injection leading to malicious Cypher generation.

L2 · Data Operations✓ mapped

The core of this tool. It exposes the entire graph database (read/write) and schema. Threats include unauthorized data exfiltration, data poisoning via malicious write queries, and schema manipulation.

L3 · Agent Frameworks✓ mapped

Integrates via the Model Context Protocol (MCP). Threats include insecure tool integration where the orchestrating framework fails to validate or restrict the generated Cypher queries before execution.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — The server runs as a companion/MCP process. Threats include exposed local ports, insecure storage of database/Aura credentials, and lack of network isolation between the MCP server and the Neo4j instance.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — No built-in guardrails, query sanitization, or logging/monitoring are mentioned. Threats include blind spots where malicious Cypher mutations go undetected due to lack of audit logging.

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

Security is entirely delegated to the database credentials ('bounded only by the connected database credentials'). There is no fine-grained authorization or policy enforcement at the MCP layer.

L7 · Agent Ecosystem✓ mapped

Designed for MCP-compliant agents. Threats include cascading failures or unauthorized data access if a compromised upstream agent calls this server to manipulate the graph database.

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