kube_hunter_scan
A execute tool on the Hexstrike Ai MCP server.
This record as markdown: /tools/hexstrike-ai/kube-hunter-scan.md
What kube_hunter_scan does on Hexstrike Ai
AI agents invoke kube_hunter_scan to trigger actions in Hexstrike Ai. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why kube_hunter_scan is rated High
kube-hunter actively hunts for security weaknesses in Kubernetes clusters by sending probes and queries to cluster endpoints. This constitutes execution of an active scanning tool against external infrastructure. The description is empty, so confidence is reduced, but the tool name strongly implies active execution of a reconnaissance/scanning operation.
From the tool's definition Tool name 'kube_hunter_scan' on a server described as running '150+ cybersecurity tools for automated pentesting, vulnerability discovery' — kube-hunter is a well-known Kubernetes cluster vulnerability scanning tool that actively probes cluster components.
Attacks that exploit this kind of access
The rule that runs kube_hunter_scan safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Hexstrike Ai, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For kube_hunter_scan, this is the rule to start with:
kube_hunter_scan stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Hexstrike Ai, apply this rule, and every kube_hunter_scan call is checked against it from then on.
Questions about kube_hunter_scan
kube_hunter_scan is a execute tool on the Hexstrike Ai MCP server. It is categorised as a Execute tool in the Hexstrike Ai MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Hexstrike Ai MCP server in PolicyLayer and add a rule for kube_hunter_scan: 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 Hexstrike Ai. Nothing to install.
kube_hunter_scan is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the kube_hunter_scan 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 kube_hunter_scan. 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.
kube_hunter_scan is provided by the Hexstrike Ai MCP server (0x4m4/hexstrike-ai). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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