AI agents call session_results 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 retrieves historical output from the current session, which is a read operation with no side effects. However, the severity is elevated to 'medium' rather than 'low' because in the context of a Kali Linux penetration testing environment, the output files may contain sensitive information such as discovered credentials, network topology, vulnerability details, or exploitation results.
From the tool's definition Tool name 'session_results' and description 'Read recent output files for the active session' explicitly indicate a read-only operation that retrieves data without modification.
Documented attack patterns abuse exactly the kind of access session_results 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 session_results:
{
"version": "1",
"default": "deny",
"tools": {
"session_results": {}
}
}session_results is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Read recent output files for the active session. 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 session_results: 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.
session_results 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 session_results 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 session_results. 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.
session_results 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.