firebase — agentic threat model
This agent possesses high-risk capabilities due to direct integration with Google Firebase via MCP, allowing it to modify databases, deploy cloud functions, and manage authentication, which could lead to complete infrastructure compromise if abused.
OWASP AIVSS score rationale
| Autonomy of Action | 0.70 | |
| Goal-Driven Planning | 0.60 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.90 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.80 | |
| Multi-Agent Interactions | 0.20 | |
| 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.
Not certain from the listing — relies on the host model (e.g., Claude) via MCP. Threats include prompt injection leading to unauthorized execution of Firebase administrative commands.
The agent has direct read/write access to Firestore databases and Cloud Storage. Threats include unauthorized data exfiltration, database wiping, or injection of malicious payloads into storage buckets.
Integrates via Model Context Protocol (MCP) to expose Firebase administrative tools. Insecure tool integration or lack of strict schema validation could allow arbitrary command execution or parameter tampering.
The MCP server runs locally or in a hosted environment authenticated to Firebase. Compromise of this layer exposes Firebase administrative credentials, enabling full cloud infrastructure takeover.
Not certain from the listing — there is no mention of built-in guardrails, logging, or audit trails to monitor the agent's database modifications or deployment actions.
The agent manages Firebase Authentication and hosting. A compromised agent could create backdoor administrative accounts, alter security rules, or deploy malicious code to production hosting environments.
Not certain from the listing — if integrated into a multi-agent workflow, other untrusted agents could exploit this agent to gain indirect administrative access to the Firebase project.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).