Low Risk

get_program_details

Get detailed info about a single program: policy, response times, metrics, bounty splitting, and submission state.

How to control get_program_details ↓

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

Low Risk

This tool queries and retrieves program information (policy, response times, metrics, bounty splitting, submission state) without creating, modifying, deleting, or executing any operations. It is a pure data retrieval function with no side effects, fitting the Read category. Severity is low as unauthorized access to public program details poses minimal risk compared to other capability categories.

From the tool's definition Tool name 'get_program_details' and description specifying it retrieves 'detailed info about a single program' with no mention of modification, deletion, or execution capabilities. The server description explicitly states 'read-only access' to HackerOne data.

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

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

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

get_program_details 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 HackerOne 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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Free to start. No card required.

Go deeper

What does the get_program_details tool do? +

Get detailed info about a single program: policy, response times, metrics, bounty splitting, and submission state. It is categorised as a Read tool in the HackerOne MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_program_details? +

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

What risk level is get_program_details? +

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

Can I rate-limit get_program_details? +

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

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

get_program_details is provided by the HackerOne MCP Server MCP server (sicks3c/hackerone-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every HackerOne MCP Server tool call.

Deterministic rules across all 16 HackerOne MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

16 HackerOne MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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