Low Risk

search_disclosed_reports

Search publicly disclosed HackerOne reports (hacktivity). Useful for learning what gets paid, finding prior art, and understanding what a program considers valid.

How to control search_disclosed_reports ↓

AI agents call search_disclosed_reports 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 only queries and retrieves publicly available historical data from HackerOne's disclosed reports. It performs no modifications, deletions, or external operations—purely informational retrieval. The low severity reflects minimal risk even if misused by an AI agent, as it accesses already-public information intended for research and learning.

From the tool's definition Tool name 'search_disclosed_reports' and description explicitly states it searches 'publicly disclosed' reports for learning and reference purposes.

Documented attack patterns abuse exactly the kind of access search_disclosed_reports 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 search_disclosed_reports:

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

search_disclosed_reports 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 search_disclosed_reports tool do? +

Search publicly disclosed HackerOne reports (hacktivity). Useful for learning what gets paid, finding prior art, and understanding what a program considers valid. 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 search_disclosed_reports? +

Register the HackerOne MCP Server MCP server in PolicyLayer and add a rule for search_disclosed_reports: 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 search_disclosed_reports? +

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

Can I rate-limit search_disclosed_reports? +

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

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

search_disclosed_reports 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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