High Risk →

benchmark_hashcat

Run hashcat benchmark for specified hash types or all types

How to control benchmark_hashcat ↓

What benchmark_hashcat does on Hashcat MCP Server

AI agents invoke benchmark_hashcat to trigger actions in Hashcat MCP Server. 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.

High Risk

Why benchmark_hashcat needs a policy

This tool executes hashcat's benchmark functionality, which triggers external system operations. While benchmarking itself doesn't directly crack hashes or modify system state irreversibly, it is an execution of a third-party tool that can consume compute resources and has side effects on the system.

From the tool's definition Tool description states 'Run hashcat benchmark for specified hash types or all types' - the word 'Run' indicates execution of external operations (hashcat benchmarking process).

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

How to control benchmark_hashcat

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 benchmark_hashcat:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "benchmark_hashcat": {
      "limits": [
        {
          "counter": "benchmark_hashcat_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

benchmark_hashcat 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.

  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.
RATE-LIMIT THIS TOOL →

Free to start. No card required.

Related tools and policies

Go deeper

Questions about benchmark_hashcat

What does the benchmark_hashcat tool do? +

Run hashcat benchmark for specified hash types or all types. It is categorised as a Execute tool in the Hashcat MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on benchmark_hashcat? +

Register the Hashcat MCP Server MCP server in PolicyLayer and add a rule for benchmark_hashcat: 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 benchmark_hashcat? +

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

Can I rate-limit benchmark_hashcat? +

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

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

benchmark_hashcat 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.

Free to start. No card required.

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

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.