AI agents call vuln_search_product to retrieve information from Kali Security MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Despite the empty description lowering confidence slightly, the tool name pattern ('vuln_search') clearly indicates a query/search operation for vulnerability data, which is consistent with the Read category (retrieves data; no side effects).
From the tool's definition Tool name 'vuln_search_product' indicates searching/querying for vulnerability information related to a product. The 'search' verb strongly suggests a read-only operation that retrieves data without modification or execution.
Documented attack patterns abuse exactly the kind of access vuln_search_product gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Kali Security MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for vuln_search_product:
{
"version": "1",
"default": "deny",
"tools": {
"vuln_search_product": {}
}
}vuln_search_product is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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vuln_search_product. It is categorised as a Read tool in the Kali Security MCP MCP Server, which means it retrieves data without modifying state.
Register the Kali Security MCP server in PolicyLayer and add a rule for vuln_search_product: 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 Security MCP. Nothing to install.
vuln_search_product 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 vuln_search_product 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 vuln_search_product. 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.
vuln_search_product is provided by the Kali Security MCP server (seac-25/kali-security-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 249 Kali Security MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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249 Kali Security MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.