OpenAI Codex SDK — agentic threat model
The OpenAI Codex SDK presents a high-risk profile due to its integration into sensitive CI/CD pipelines and GitHub workflows, where autonomous code execution and orchestration could lead to severe supply chain compromises if hijacked.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.70 | |
| Self-Modification | 0.30 | |
| Dynamic Tool Use | 0.90 | |
| Persistent Memory | 0.60 | |
| Contextual Awareness | 0.60 | |
| Dynamic Identity | 0.70 | |
| Multi-Agent Interactions | 0.50 | |
| Non-Determinism | 0.80 | |
| Opacity & Reflexivity | 0.70 |
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.
Uses OpenAI Codex models, making it susceptible to prompt injection, adversarial code generation, and model alignment issues that could result in the generation of insecure or malicious code.
Not certain from the listing — details on data operations, vector stores, or RAG pipelines are not specified, though thread resumption implies some state/history storage.
The SDK orchestrates Codex agents using a TypeScript library and CLI. Key threats include insecure tool integration, where the agent might execute generated code or commands without proper validation, and memory poisoning via thread continuation.
Integrates directly with CI/CD pipelines, CLI, and GitHub Actions. This exposes the host environment to severe threats such as container escape, privilege escalation, and unauthorized access to repository secrets or deployment environments.
Not certain from the listing — no explicit mention of built-in evaluation, logging, guardrails, or observability tools for monitoring agent actions.
Not certain from the listing — no details provided regarding compliance certifications, built-in access controls, or security policies.
Not certain from the listing — while it mentions orchestrating agents, details on multi-agent collaboration protocols or marketplace interactions are not provided.
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.