Low Risk

memory_dump

Dump a range of physical memory to a file on disk. Use this for large reads that

How to control memory_dump ↓

What memory_dump does on Nevercheese Pcileech Memprocfs

AI agents call memory_dump to retrieve information from Nevercheese Pcileech Memprocfs without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why memory_dump needs a policy

The tool retrieves memory contents without modifying or deleting data. However, severity is high rather than low because: (1) it operates on physical memory via DMA, bypassing OS protections and kernel-level access controls; (2) memory dumps can expose sensitive data (encryption keys, credentials, private data from any running process); (3) in a gaming/reverse-engineering context (per server description), this…

From the tool's definition Tool name is 'memory_dump' and description states 'Dump a range of physical memory to a file on disk. Use this for large reads' — explicitly categorized as a read operation.

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

How to control memory_dump

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

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

memory_dump 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 Nevercheese Pcileech Memprocfs — 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 →

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Related tools and policies

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Questions about memory_dump

What does the memory_dump tool do? +

Dump a range of physical memory to a file on disk. Use this for large reads that. It is categorised as a Read tool in the Nevercheese Pcileech Memprocfs MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on memory_dump? +

Register the Nevercheese Pcileech Memprocfs MCP server in PolicyLayer and add a rule for memory_dump: 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 Nevercheese Pcileech Memprocfs. Nothing to install.

What risk level is memory_dump? +

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

Can I rate-limit memory_dump? +

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

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

memory_dump is provided by the Nevercheese Pcileech Memprocfs MCP server (neverdecel/nevercheese-pcileech-memprocfs-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Nevercheese Pcileech Memprocfs tool call.

Start from Nevercheese Pcileech Memprocfs, 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.

37 Nevercheese Pcileech Memprocfs tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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