Detect Web Application Firewall (WAF) on a target URL.
AI agents invoke fingerprint_waf to trigger actions in Zebbern Kali MCP. 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.
This tool actively probes a remote target URL to fingerprint its WAF, constituting an external network operation with real side effects on the target. It is an Execute-category action (triggering external operations whose effects depend on arguments).
From the tool's definition Detect Web Application Firewall (WAF) on a target URL — runs active reconnaissance against an external target; part of a Kali Linux penetration testing toolkit operating inside a Docker container with sibling offensive tools (password_spray, secretsdump,…
Documented attack patterns abuse exactly the kind of access fingerprint_waf gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Zebbern Kali MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for fingerprint_waf:
{
"version": "1",
"default": "deny",
"tools": {
"fingerprint_waf": {
"limits": [
{
"counter": "fingerprint_waf_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}fingerprint_waf 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.
Free to start. No card required.
Detect Web Application Firewall (WAF) on a target URL. It is categorised as a Execute tool in the Zebbern Kali MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Zebbern Kali MCP server in PolicyLayer and add a rule for fingerprint_waf: 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 Zebbern Kali MCP. Nothing to install.
fingerprint_waf 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 fingerprint_waf 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 fingerprint_waf. 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.
fingerprint_waf is provided by the Zebbern Kali MCP server (zebbern/zebbern-kali-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 128 Zebbern Kali MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
128 Zebbern Kali MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.