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BOTmarket Exchange — agentic threat model

7.6AIVSS 7.6 · High

BOTmarket Exchange acts as a decentralized marketplace for agent-to-agent inference, presenting significant ecosystem risks due to the dynamic routing of requests to unverified seller endpoints and the financial implications of its atomic escrow-settlement pipeline.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 7.5AARS uplift 1.42Factor sum 5.4/10Threat ×1.05Mitigation ×0.85
Autonomy of Action
0.70
Goal-Driven Planning
0.40
Self-Modification
0.10
Dynamic Tool Use
0.60
Persistent Memory
0.30
Contextual Awareness
0.50
Dynamic Identity
0.80
Multi-Agent Interactions
0.90
Non-Determinism
0.50
Opacity & Reflexivity
0.60

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 platform is a decentralized compute exchange that routes inference requests by JSON schema hash rather than hosting specific foundation models itself.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — The platform handles JSON schemas and transaction data (escrow, settlement, CU earnings) but does not explicitly detail RAG or vector store operations.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — The platform acts as an exchange/orchestrator for agent-to-agent (A2A) transactions but does not specify its own internal agent framework or tool-calling mechanisms.

L4 · Deployment & Infrastructure✓ mapped

The platform utilizes an atomic match-escrow-execute-settle pipeline with Bearer auth and exposes an agent card at `/.well-known/agent-card.json`. Threats include endpoint compromise, Bearer token leakage, and infrastructure attacks on the escrow/settlement pipeline.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — The platform does not detail its evaluation, logging, or guardrail mechanisms for the routed inference requests.

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

The platform implements Bearer authentication for its pipeline and uses JSON schema hashes for verification. However, decentralized execution introduces compliance challenges regarding data privacy (GDPR) and transaction auditing.

L7 · Agent Ecosystem✓ mapped

Highly relevant. The platform is a decentralized marketplace for A2A interactions. Threats include rogue/compromised agents, malicious sellers registering endpoints to poison inference, and cascading failures in the match-escrow-execute-settle pipeline.

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