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GOAT — agentic threat model

9.9AIVSS 9.9 · Critical

GOAT presents an exceptionally high-risk profile due to its enablement of direct, autonomous onchain financial transactions and wallet management. Without robust external guardrails, prompt injection or framework compromise can lead to immediate and irreversible financial loss.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 9.8AARS uplift 0.12Factor sum 5.3/10Threat ×1.1Mitigation ×1.0
Autonomy of Action
0.80
Goal-Driven Planning
0.40
Self-Modification
0.10
Dynamic Tool Use
0.90
Persistent Memory
0.20
Contextual Awareness
0.50
Dynamic Identity
0.80
Multi-Agent Interactions
0.50
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.

L1 · Foundation Models⚠ not certain from listing

Not certain from the listing — GOAT is model-agnostic and integrates with various LLMs. The primary threat at this layer is prompt injection or jailbreaking of the underlying model, which could trick the agent into executing unauthorized onchain transactions.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — GOAT primarily interacts with live blockchain state rather than traditional RAG data stores. However, threats include reading poisoned onchain data or manipulated oracle states to influence agent decisions.

L3 · Agent Frameworks✓ mapped

GOAT acts directly as the tool-calling integration layer for blockchain actions. The critical threat here is insecure tool integration, where malicious inputs or prompt injections bypass validation and trigger high-impact tools like token transfers or smart contract executions.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — Infrastructure security depends entirely on where the developer hosts the agent. However, because GOAT manages wallets (including raw key pairs), host compromise or exposed environment variables represents an immediate threat of total private key exfiltration.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — The toolkit does not specify built-in transaction simulation, guardrails, or logging mechanisms. The lack of observability means unauthorized or anomalous transactions may go undetected until funds are permanently lost.

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

GOAT supports various wallet types (key pairs, smart wallets). The main threat is the lack of native, fine-grained authorization policies (AuthZ) determining which user prompts are allowed to trigger which financial transactions, alongside compliance risks regarding KYC/AML.

L7 · Agent Ecosystem✓ mapped

GOAT integrates with external protocols like Uniswap and Polymarket, and frameworks like Eliza. Threats include cascading failures if an integrated DeFi protocol is exploited, or trust abuse in multi-agent setups where one compromised agent drains a shared wallet.

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

These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.