Lemon Agent — agentic threat model
Lemon Agent is an open-source workflow automation framework utilizing a Plan-Validate-Solve loop. Its primary security risks stem from potential validation bypasses and insecure tool execution during automated workflow runs.
OWASP AIVSS score rationale
| Autonomy of Action | 0.70 | |
| Goal-Driven Planning | 0.80 | |
| Self-Modification | 0.20 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.40 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.20 | |
| Non-Determinism | 0.40 | |
| Opacity & Reflexivity | 0.50 |
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 framework is model-agnostic; threats depend on the underlying LLM used, such as prompt injection bypassing the Plan-Validate-Solve logic.
Not certain from the listing — No details on RAG or vector databases are provided, though workflow automation typically handles sensitive operational data.
The core of Lemon Agent is its Plan-Validate-Solve (PVS) orchestration. Threats include validation bypass, logic flaws in the planning phase, and insecure tool execution during the 'Solve' phase.
Not certain from the listing — As an open-source framework, deployment security (sandboxing, secrets management) is entirely up to the user.
The 'Validate' step in the PVS loop provides built-in observability/evaluation, but threats include validation evasion or spoofed validation states.
Not certain from the listing — No built-in compliance, RBAC, or enterprise security controls are mentioned in this open-source framework.
Not certain from the listing — No explicit multi-agent or marketplace features are described, though it could be integrated into larger ecosystems.
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.