Search for exploits using searchsploit and other exploit databases
AI agents call exploit_search to retrieve information from Kali MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool searches exploit databases (like Exploit-DB via searchsploit) and retrieves information about known exploits. It does not execute exploits or run code — it only queries and returns data. However, the severity is medium because the information retrieved (exploit details, PoC code references) could directly facilitate attacks if misused by an AI agent. The tool itself only reads/queries data.
From the tool's definition Search for exploits using searchsploit and other exploit databases
Documented attack patterns abuse exactly the kind of access exploit_search gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Kali MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for exploit_search:
{
"version": "1",
"default": "deny",
"tools": {
"exploit_search": {}
}
}exploit_search is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Search for exploits using searchsploit and other exploit databases. It is categorised as a Read tool in the Kali MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Kali MCP Server MCP server in PolicyLayer and add a rule for exploit_search: 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 Kali MCP Server. Nothing to install.
exploit_search is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the exploit_search 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.
Set action: deny in the PolicyLayer policy for exploit_search. 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.
exploit_search is provided by the Kali MCP Server MCP server (k3nn3dy-ai/kali-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Kali 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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36 Kali MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.