Lendle — agentic threat model
Lendle is a Web3 non-custodial lending protocol rather than an AI agent, meaning its risks are centered on smart contract vulnerabilities, oracle manipulation, and financial exploits rather than LLM-specific threats.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.00 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.30 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.10 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.00 | |
| Opacity & Reflexivity | 0.10 |
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 — Lendle is a Web3 lending platform and does not explicitly mention using LLMs or foundation models; threats like adversarial prompt injection or model stealing are likely not applicable unless AI is used for market analysis.
Not certain from the listing — The platform relies on blockchain state and oracle price feeds rather than traditional vector databases or RAG pipelines; primary threats involve oracle manipulation or data feed poisoning.
Not certain from the listing — No AI agent orchestration framework is mentioned; the execution logic is handled by deterministic smart contracts on the Mantle Network.
Lendle is deployed on the Mantle Network. Infrastructure threats include smart contract vulnerabilities, reentrancy attacks, flash loan exploits, and compromise of front-end hosting or RPC nodes.
Not certain from the listing — Traditional AI evaluation and drift monitoring are not described; security relies on smart contract audits, bug bounties, and on-chain transaction monitoring.
As a closed-source, non-custodial Web3 platform, security relies on cryptographic signatures, smart contract access controls, and liquidation math. Compliance risks include regulatory scrutiny of DeFi lending and token distribution.
Not certain from the listing — There is no evidence of an AI agent ecosystem or multi-agent collaboration; interactions are limited to standard Web3 wallet connections and smart contract integrations.
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.