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x711 — agentic threat model

8.2AIVSS 8.2 · High

x711 acts as a remote Model Context Protocol (MCP) tool broker utilizing x402 USDC micropayments, presenting a unique security profile where financial transaction handling and third-party tool execution converge, making it a high-value target for financial and API key exfiltration.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 7.5AARS uplift 1.18Factor sum 4.5/10Threat ×1.05Mitigation ×0.95
Autonomy of Action
0.40
Goal-Driven Planning
0.20
Self-Modification
0.10
Dynamic Tool Use
0.80
Persistent Memory
0.30
Contextual Awareness
0.50
Dynamic Identity
0.70
Multi-Agent Interactions
0.60
Non-Determinism
0.40
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 agent acts as an MCP tool broker rather than hosting a specific foundation model. Model-level vulnerabilities depend entirely on the client-side LLM invoking this remote endpoint.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — Data operations are limited to routing tool payloads and managing transaction state. There is no explicit mention of vector databases, RAG pipelines, or persistent knowledge bases.

L3 · Agent Frameworks✓ mapped

The framework-agnostic remote MCP architecture introduces risks of tool misuse and insecure tool integration, as it brokers multiple external tools behind a metered payment layer without explicit validation of client-side intent.

L4 · Deployment & Infrastructure✓ mapped

The infrastructure must securely manage API keys and handle x402 USDC micropayments. Compromise of this layer could lead to unauthorized tool execution, draining of user crypto wallets, or exposure of third-party API credentials.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — The description does not detail any logging, monitoring, or guardrail mechanisms to detect anomalous tool usage patterns, payment fraud, or malicious payloads passing through the MCP endpoint.

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

Security controls are centered on API-key authentication and crypto micropayments. The primary threat is credential theft and the lack of traditional access control policies for brokered third-party tools.

L7 · Agent Ecosystem✓ mapped

As a multi-agent tool broker, x711 is highly exposed to Agent-to-Agent (A2A) trust abuse, where a compromised client agent could exploit the payment/credential path to execute unauthorized, costly tool calls.

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