Chef by Convex — agentic threat model
Chef by Convex is an open-source app generator with significant risk due to its integration with backend services (Convex) and code generation capabilities, which could be exploited to inject malicious code or compromise developer environments.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.70 | |
| Self-Modification | 0.20 | |
| Dynamic Tool Use | 0.60 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.40 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.70 | |
| 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 — likely relies on external commercial LLMs (e.g., OpenAI, Anthropic) for code generation, exposing it to prompt injection, adversarial reprogramming, and misaligned code outputs.
Not certain from the listing — likely processes user prompts and schema definitions, with potential risks of data exfiltration or prompt leakage if vector stores or RAG are used for context.
As an app generator, the framework orchestrates code generation and Convex backend integration. Vulnerabilities include insecure tool integration, generation of insecure code (CWEs), or tool misuse if it executes code.
Integrates with Convex for backend development. If the agent deploys or runs code directly, there is a high risk of container/host compromise, privilege escalation, or exposed backend services without strict sandboxing.
Not certain from the listing — no built-in evaluation, logging, or guardrails are mentioned, which could lead to blind spots in generated code quality and security anomalies.
Not certain from the listing — open-source nature means security controls, identity management, and compliance (e.g., SOC2, GDPR) depend entirely on the user's deployment environment.
Not certain from the listing — does not explicitly mention multi-agent coordination or marketplace interactions, though generated apps may interact with external APIs.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).