OpenClaw Ansible Installer — agentic threat model
The OpenClaw Ansible Installer is a deterministic infrastructure-as-code tool rather than an active AI agent, presenting low inherent agentic risk but high deployment-phase risk if the playbook is compromised to gain root access on production servers.
OWASP AIVSS score rationale
| Autonomy of Action | 0.10 | |
| Goal-Driven Planning | 0.00 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.10 | |
| Dynamic Identity | 0.00 | |
| Multi-Agent Interactions | 0.00 | |
| Non-Determinism | 0.10 | |
| Opacity & Reflexivity | 0.00 |
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 installer itself does not contain or run an LLM directly; it merely deploys OpenClaw, whose underlying foundation model configurations are not specified.
Not certain from the listing — The playbook sets up the host environment but does not detail the data pipelines, vector databases, or RAG sources used by the deployed OpenClaw instance.
Not certain from the listing — While it deploys OpenClaw (an agent framework), the installer's description does not specify OpenClaw's internal orchestration, memory, or tool-calling mechanisms.
The playbook directly manages deployment and infrastructure security by automating Docker-based isolation, configuring firewalls, and setting up Tailscale VPN on Debian/Ubuntu. Risks include potential privilege escalation during Ansible execution (which runs with root/sudo privileges) and potential container escape vulnerabilities if Docker is misconfigured.
Not certain from the listing — The installer configures the base infrastructure but does not explicitly mention setting up monitoring, logging, or guardrails for the deployed OpenClaw instance.
The installer focuses heavily on security and compliance controls by implementing a hardened production setup, firewall configurations, and private network access via Tailscale. However, the playbook itself must be audited to prevent credential leakage or insecure SSH configurations.
Not certain from the listing — The installer deploys a single instance of OpenClaw; multi-agent interactions or ecosystem-level threats are not described in this deployment playbook.
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.