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spoof_headers

Spoof HTTP headers to appear more legitimate

How to control spoof_headers ↓

What spoof_headers does on Pydoll

AI agents invoke spoof_headers to trigger actions in Pydoll. 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.

High Risk

Why spoof_headers needs a policy

Spoofing HTTP headers is an active operation that modifies network-level request metadata to impersonate or disguise the browser/client. This triggers external operations (HTTP requests with falsified headers) whose effects depend on the arguments supplied.

From the tool's definition 'Spoof HTTP headers to appear more legitimate' — actively manipulates outgoing HTTP request headers to deceive servers about the client's identity

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

How to control spoof_headers

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

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

spoof_headers 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 Pydoll — 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 spoof_headers

What does the spoof_headers tool do? +

Spoof HTTP headers to appear more legitimate. It is categorised as a Execute tool in the Pydoll MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on spoof_headers? +

Register the Pydoll MCP server in PolicyLayer and add a rule for spoof_headers: 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 Pydoll. Nothing to install.

What risk level is spoof_headers? +

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

Can I rate-limit spoof_headers? +

Yes. Add a rate_limit block to the spoof_headers 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 spoof_headers completely? +

Set action: deny in the PolicyLayer policy for spoof_headers. 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 spoof_headers? +

spoof_headers is provided by the Pydoll MCP server (jinsongroh/pydoll-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Pydoll tool call.

Start from Pydoll, 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.

57 Pydoll tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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