High Risk →

detach

Detach from the current session and unload any injected scripts.

How to control detach ↓

AI agents invoke detach to trigger actions in Frida Agent MCP. 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

This tool terminates an active Frida instrumentation session and unloads injected scripts. It triggers an external operation (detaching from a process and unloading code) that has side effects on the target process's instrumentation state.

From the tool's definition Detach from the current session and unload any injected scripts

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

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

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

detach 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 Frida Agent MCP — 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 →

Free to start. No card required.

Go deeper

What does the detach tool do? +

Detach from the current session and unload any injected scripts. It is categorised as a Execute tool in the Frida Agent MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on detach? +

Register the Frida Agent MCP server in PolicyLayer and add a rule for detach: 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 Frida Agent MCP. Nothing to install.

What risk level is detach? +

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

Can I rate-limit detach? +

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

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

detach is provided by the Frida Agent MCP server (1193776794/frida-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Frida Agent MCP tool call.

Deterministic rules across all 10 Frida Agent MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

10 Frida Agent MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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