Wallet Finder — agentic threat model
Wallet Finder is primarily a read-only DeFi analytics and alerting tool with low agentic autonomy, but its integration with user wallets and real-time financial data introduces high-value targets for phishing, data poisoning, and credential theft.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.30 | |
| Persistent Memory | 0.40 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.00 | |
| 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.
Not certain from the listing — the description does not specify which LLMs or foundation models are used for 'Trade Pattern Analysis' or generating insights. If LLMs are utilized, they are vulnerable to prompt injection, adversarial manipulation, and mis-aligned outputs.
Not certain from the listing — the platform ingests real-time blockchain data and wallet histories. Threats include data poisoning if upstream RPC nodes or indexing APIs are compromised, as well as potential exfiltration of users' tracked wallet lists.
Not certain from the listing — it is unclear if a specific agent framework is used for orchestration. However, insecure tool integration could compromise wallet connection APIs, data export functions, or real-time alert webhooks.
Not certain from the listing — hosting and deployment details are not provided. As an open-source DeFi tool, threats include container compromise, insecure storage of connected wallet metadata, and exposed API endpoints.
Not certain from the listing — there is no mention of evaluation frameworks, guardrails, or observability tools for the generated insights or real-time alerts, risking drift or undetected anomalies in pattern analysis.
Not certain from the listing — while the project is open source, there is no mention of formal compliance standards (e.g., SOC2) or specific authentication and authorization controls for securing multi-wallet connections.
Not certain from the listing — the agent operates horizontally in DeFi analytics but does not explicitly interact with other agents or marketplaces, though cascading failures could occur if upstream blockchain data providers fail.
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.