High Risk →

browser_iframe_eval

Evaluate JavaScript inside a specific iframe.

How to control browser_iframe_eval ↓

What browser_iframe_eval does on Termux Browser Pilot

AI agents invoke browser_iframe_eval to trigger actions in Termux Browser Pilot. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

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Why browser_iframe_eval needs a policy

This tool executes arbitrary JavaScript code within an iframe context in a real browser. Arbitrary code execution in a browser can perform any operation the browser is capable of — reading/writing DOM, exfiltrating data, making network requests, triggering downloads, etc.

From the tool's definition Evaluate JavaScript inside a specific iframe

Documented attack patterns abuse exactly the kind of access browser_iframe_eval gives an agent:

How to control browser_iframe_eval

PolicyLayer is an MCP gateway — it sits between your AI agents and Termux Browser Pilot, and nothing reaches the server without passing your rules. This is the rule we recommend for browser_iframe_eval:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "browser_iframe_eval": {
      "limits": [
        {
          "counter": "browser_iframe_eval_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

browser_iframe_eval stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Termux Browser Pilot — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

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Related tools and policies

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Questions about browser_iframe_eval

What does the browser_iframe_eval tool do? +

Evaluate JavaScript inside a specific iframe. It is categorised as a Execute tool in the Termux Browser Pilot MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on browser_iframe_eval? +

Register the Termux Browser Pilot MCP server in PolicyLayer and add a rule for browser_iframe_eval: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Termux Browser Pilot. Nothing to install.

What risk level is browser_iframe_eval? +

browser_iframe_eval is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit browser_iframe_eval? +

Yes. Add a rate_limit block to the browser_iframe_eval rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block browser_iframe_eval completely? +

Set action: deny in the PolicyLayer policy for browser_iframe_eval. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides browser_iframe_eval? +

browser_iframe_eval is provided by the Termux Browser Pilot MCP server (salviz/termux-browser-pilot). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Termux Browser Pilot tool call.

Start from Termux Browser Pilot, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

148 Termux Browser Pilot tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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