Walletfinder.ai — agentic threat model
Walletfinder.ai presents a moderate-to-high risk profile primarily due to its integration with Web3 wallets, making it a high-value target for phishing or wallet-draining attacks if the frontend or dependencies are compromised.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.40 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.30 | |
| 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 specific foundation models used for analyzing trading patterns and generating insights are not disclosed. Adversarial prompt injection could potentially manipulate the generated financial insights or recommendations.
The platform ingests and processes large volumes of blockchain transaction data and wallet addresses. It is highly vulnerable to data poisoning (e.g., wash trading, artificial volume) which could distort the analytics and mislead users.
Not certain from the listing — The underlying orchestration framework is unspecified. Risks include insecure tool integration if the data export or alert dispatch mechanisms are vulnerable to injection or SSRF.
Not certain from the listing — While the project is open source, the deployment infrastructure for the hosted version is not detailed. Risks include typical web application vulnerabilities and dependency supply chain attacks.
Not certain from the listing — There is no mention of real-time guardrails or output validation to ensure that generated analytics or alerts do not contain malicious links or misleading financial advice.
The platform allows users to connect their own Web3 wallets. This introduces critical security risks regarding session management, authentication, and the potential for malicious signature requests if the application is compromised.
Not certain from the listing — There is no indication of multi-agent collaboration or marketplace integrations in the current feature set.
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.