Open Operator — agentic threat model

Integrates with OpenAI models for intent understanding. Highly vulnerable to prompt injection, particularly indirect prompt injection where malicious instructions embedded in web pages hijack the model's behavior during browsing.

Not certain from the listing — The agent performs data extraction and information retrieval from web pages, but there is no mention of a persistent vector database or RAG pipeline. The primary threat is ingestion of poisoned or malicious data from untrusted web sources.

Uses Stagehand to translate natural language intents into browser operations and manage state. Vulnerabilities include insecure tool execution if Stagehand fails to safely validate or constrain the generated browser actions, leading to unintended form submissions or navigation.

Relies on Browserbase for executing browser automation. Threats include potential sandbox escapes from the automated browser instance, exposure of Browserbase API credentials, and unauthorized network requests (SSRF) initiated by the agent.

Not certain from the listing — No built-in guardrails, evaluation frameworks, or logging mechanisms are detailed. This creates a significant blind spot, making it difficult to detect when the agent has been compromised or is executing malicious actions.

Not certain from the listing — There is no mention of access control, user authentication, or policy enforcement mechanisms to restrict what domains the agent can visit or what actions it can perform on behalf of the user.

Not certain from the listing — The agent operates as a standalone horizontal web operator without explicit multi-agent coordination or marketplace integrations, minimizing direct ecosystem trust abuse risks at this stage.