Open Interpreter — agentic threat model
Open Interpreter presents an exceptionally high agentic risk profile due to its core capability of executing arbitrary, LLM-generated code directly on the user's local machine. Without strict sandboxing, prompt injection can easily escalate to full host system compromise.
OWASP AIVSS score rationale
| Autonomy of Action | 0.80 | |
| Goal-Driven Planning | 0.80 | |
| Self-Modification | 0.40 | |
| Dynamic Tool Use | 1.00 | |
| Persistent Memory | 0.30 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.80 | |
| Opacity & Reflexivity | 0.60 |
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 — Open Interpreter is model-agnostic and can connect to various local or hosted LLMs. The primary threat is prompt injection bypassing model alignment to execute malicious system commands.
Not certain from the listing — It does not natively manage a vector database or RAG pipeline in its basic description, but it has direct access to the local filesystem, risking data exfiltration or unauthorized file modification.
Open Interpreter uses an agentic loop where it writes code, executes it via a local sub-process, reads the stdout/stderr, and plans the next step. This creates a high risk of insecure tool integration and arbitrary code execution if the planning loop is hijacked.
By default, it runs directly on the host operating system without sandboxing. This presents an extreme risk of host compromise, privilege escalation, and lateral movement if malicious code is executed.
Not certain from the listing — There are no built-in guardrails or evaluation frameworks mentioned in the basic listing to monitor or intercept malicious code before execution, relying heavily on manual user review.
Not certain from the listing — The tool lacks built-in enterprise compliance controls, role-based access control (RBAC), or audit logging, operating purely under the permissions of the local user execution context.
Not certain from the listing — While it operates as a standalone desktop agent, any integration with external APIs or multi-agent frameworks could lead to cascading failures or unauthorized external data transmission.
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.