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AgentStamp — agentic threat model

5.9AIVSS 5.9 · Medium

AgentStamp acts as a critical security and identity layer for multi-agent ecosystems; a compromise of its registry or cryptographic verification SDKs could allow malicious agents to spoof identities, bypass API gates, and exploit A2A trust relationships.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 7.5AARS uplift 0.93Factor sum 3.7/10Threat ×1.0Mitigation ×0.7
Autonomy of Action
0.30
Goal-Driven Planning
0.10
Self-Modification
0.00
Dynamic Tool Use
0.50
Persistent Memory
0.40
Contextual Awareness
0.30
Dynamic Identity
0.80
Multi-Agent Interactions
0.90
Non-Determinism
0.20
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 — AgentStamp is an identity registry and SDK rather than a foundation model. It integrates with external LLMs like Claude via MCP tools, but does not host or train its own models.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — The platform manages reputation data, cryptographic stamps, and heartbeat logs, but there is no explicit mention of vector databases, RAG pipelines, or training data operations.

L3 · Agent Frameworks✓ mapped

Provides 14 MCP tools for Claude/AI assistant integration and SDKs (npm/Python). Threats include insecure tool integration, manipulation of MCP tool outputs, or bypasses in the middleware SDKs.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — While it utilizes the Base L2 blockchain for USDC micropayments, the hosting infrastructure for the registry API, SDK distribution, and backend services is not detailed.

L5 · Evaluation & Observability✓ mapped

Features heartbeat-based uptime tracking and a 0-100 trust score with time-decay. Threats include trust score gaming, sybil endorsements, and spoofed heartbeats to artificially maintain high reputation scores.

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

Implements strong security controls including Ed25519 cryptographic stamps, ERC-8004 compatibility, and `requireStamp()` middleware for Express/Hono. Threats include private key compromise, smart contract vulnerabilities on Base, and cryptographic implementation flaws.

L7 · Agent Ecosystem✓ mapped

Specifically designed for Agent-to-Agent (A2A) trust and passport protocols (A2A v0.3). Threats include rogue agents obtaining high-tier stamps, cascading trust failures across integrated services, and marketplace reputation manipulation.

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