Wallet Finder AI — agentic threat model
Wallet Finder AI presents a high-risk profile due to its integration with real-time DeFi transaction tracking and potential copy-trading execution. A compromise of its signal generation or tool integrations could lead to direct financial losses for users mirroring poisoned trading strategies.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.40 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.40 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.20 | |
| Non-Determinism | 0.30 | |
| Opacity & Reflexivity | 0.40 |
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 specific foundation models used for analyzing wallet histories and generating alerts are not disclosed. Threats include adversarial prompt injection designed to misclassify malicious transactions as profitable whale moves.
Ingests real-time blockchain transaction data and historical wallet records. Threats include data poisoning of the underlying blockchain indexers or RAG data sources, leading the agent to generate false buy/sell signals.
Orchestrates wallet tracking, history analysis, and alert generation. If the 'mirroring' feature involves automated execution, insecure tool integration with web3 wallets or exchange APIs poses a severe risk of unauthorized fund drainage.
Not certain from the listing — The hosting environment and sandboxing mechanisms are unspecified. Threats include the compromise of API keys used to query blockchain nodes or user-provided exchange credentials stored in the infrastructure.
Not certain from the listing — No observability or guardrail frameworks are mentioned. The agent is vulnerable to blind spots where flash loan attacks or wash trading volume are misidentified as legitimate whale activity.
Not certain from the listing — There is no mention of compliance frameworks (e.g., SOC2, GDPR) or financial regulations (KYC/AML). Lack of secure credential management for copy-trading APIs represents a major compliance and security gap.
Not certain from the listing — While it operates in a multi-actor web3 ecosystem, direct agent-to-agent interactions are not detailed. Threats include cascading failures if upstream data oracles or downstream execution bots are compromised.
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.