Maneki AI — agentic threat model
Maneki AI is a closed-source DeFi portfolio manager and co-pilot, presenting high systemic risk due to its integration with financial transactions and smart contracts where compromise could lead to direct asset theft.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.50 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.70 | |
| Persistent Memory | 0.40 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.30 | |
| Multi-Agent Interactions | 0.20 | |
| Non-Determinism | 0.50 | |
| Opacity & Reflexivity | 0.60 |
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 — likely utilizes commercial or fine-tuned LLMs for financial reasoning. It is highly vulnerable to prompt injection attacks that could trick the model into recommending or initiating malicious transactions.
Not certain from the listing — relies on real-time DeFi market data, liquidity pool states, and user portfolio data. Vulnerable to data poisoning via manipulated oracle feeds or front-running data injection.
Not certain from the listing — orchestrates portfolio management and wallet tool execution. Vulnerable to insecure tool integration where malicious inputs bypass validation to execute unauthorized smart contract calls.
Not certain from the listing — hosted within the Rivo ecosystem. Key threats include the exposure of wallet private keys, API credentials, or hosting infrastructure compromise leading to complete loss of user funds.
Not certain from the listing — no details on transaction guardrails, pre-execution simulation, or anomaly detection. Lack of observability could allow silent, unauthorized portfolio rebalancing to go unnoticed.
Not certain from the listing — closed-source and freemium model with no mentioned security audits, multi-signature controls, or compliance with financial advisory regulations.
Not certain from the listing — operates within the Rivo ecosystem. Vulnerable to cascading failures if integrated third-party DeFi protocols, liquidity pools, or external smart contracts 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.