Low Risk

scatter_read

Batch-read multiple disjoint memory regions in a single DMA operation (~10x faster than

How to control scatter_read ↓

What scatter_read does on Nevercheese Pcileech Memprocfs

AI agents call scatter_read 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 scatter_read needs a policy

scatter_read performs memory inspection via DMA (direct memory access) without side effects—it retrieves data from memory regions. While the underlying DMA capability is powerful and could expose sensitive data (hence high severity due to potential information disclosure across the entire system), the tool itself is fundamentally a read operation.

From the tool's definition Tool name 'scatter_read' and description 'Batch-read multiple disjoint memory regions in a single DMA operation' explicitly indicates reading/querying memory without modification. No deletion, writing, or execution language is present.

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

How to control scatter_read

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 scatter_read:

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

scatter_read 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 scatter_read

What does the scatter_read tool do? +

Batch-read multiple disjoint memory regions in a single DMA operation (~10x faster than. 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 scatter_read? +

Register the Nevercheese Pcileech Memprocfs MCP server in PolicyLayer and add a rule for scatter_read: 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 scatter_read? +

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

Can I rate-limit scatter_read? +

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

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

scatter_read 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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