frida_resume

Resume a target previously spawned for early Frida instrumentation.

SERVERJshookmcp SOURCE@jshookmcp/jshook

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-vmoranv-jshookmcp/frida-resume.md

WHAT IT DOES

What frida_resume does on Jshookmcp

AI agents invoke frida_resume to trigger actions in Jshookmcp. 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.

RISK

Why frida_resume is rated High

Resumes process execution under Frida instrumentation, triggering external runtime operations.

From the tool's definition Resume a target previously spawned for early Frida instrumentation

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs frida_resume safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Jshookmcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For frida_resume, this is the rule to start with:

frida_resume Rate-limited

frida_resume 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "frida_resume": {
      "limits": [
        {
          "counter": "frida_resume_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Jshookmcp, apply this rule, and every frida_resume call is checked against it from then on.

FAQ

Questions about frida_resume

What does the frida_resume tool do? +

Resume a target previously spawned for early Frida instrumentation. It is categorised as a Execute tool in the Jshookmcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on frida_resume? +

Register the Jshook MCP server in PolicyLayer and add a rule for frida_resume: 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 Jshookmcp. Nothing to install.

What risk level is frida_resume? +

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

Can I rate-limit frida_resume? +

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

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

frida_resume is provided by the Jshook MCP server (@jshookmcp/jshook). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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Guides

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