Low Risk

read_memory

Read memory at specified address.

How to control read_memory ↓

AI agents call read_memory to retrieve information from Frida Game Hacking MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

This tool retrieves memory contents from a process without altering state. While Frida's capabilities are powerful and could be abused in adversarial contexts, this specific tool is read-only with no side effects. The low severity reflects that memory reading alone cannot directly compromise systems, though it may reveal sensitive information in targeted attacks.

From the tool's definition Tool name 'read_memory' and description 'Read memory at specified address' explicitly indicate data retrieval with no modification.

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

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "read_memory": {}
  }
}

read_memory is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Frida Game Hacking 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.
CAP THIS TOOL →

Free to start. No card required.

Go deeper

What does the read_memory tool do? +

Read memory at specified address. It is categorised as a Read tool in the Frida Game Hacking MCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on read_memory? +

Register the Frida Game Hacking MCP server in PolicyLayer and add a rule for read_memory: 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 Game Hacking MCP. Nothing to install.

What risk level is read_memory? +

read_memory is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit read_memory? +

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

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

read_memory is provided by the Frida Game Hacking MCP server (0xhackerfren/frida-game-hacking-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 Game Hacking MCP tool call.

Deterministic rules across all 42 Frida Game Hacking MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

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

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