Low Risk

estimate_crack_time

Estimate time to crack based on current hardware performance

How to control estimate_crack_time ↓

What estimate_crack_time does on Hashcat MCP Server

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

Low Risk

Why estimate_crack_time needs a policy

This is a computational read-only operation that analyzes existing data (hardware performance metrics) to generate a time estimate. It has no side effects, does not execute actual cracking operations, does not modify data, and does not commit to actions.

From the tool's definition Tool name 'estimate_crack_time' and description 'Estimate time to crack based on current hardware performance' indicate this tool performs calculations and retrieval of performance metrics without modifying state, executing external commands, or triggering…

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

How to control estimate_crack_time

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

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

estimate_crack_time 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 Hashcat MCP Server — 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.
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Related tools and policies

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Questions about estimate_crack_time

What does the estimate_crack_time tool do? +

Estimate time to crack based on current hardware performance. It is categorised as a Read tool in the Hashcat MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on estimate_crack_time? +

Register the Hashcat MCP Server MCP server in PolicyLayer and add a rule for estimate_crack_time: 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 Hashcat MCP Server. Nothing to install.

What risk level is estimate_crack_time? +

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

Can I rate-limit estimate_crack_time? +

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

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

estimate_crack_time is provided by the Hashcat MCP Server MCP server (mordavid/hashcat-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Hashcat MCP Server tool call.

Start from Hashcat MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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23 Hashcat MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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