AI agents invoke bully_attack to trigger actions in Kali Security 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 executes external security software (Bully) to perform active wireless network attacks. WPS attacks can compromise Wi-Fi network security and gain unauthorized access. While the severity is not critical (it targets a specific, often-disabled protocol), it represents an active execution of attack code with real-world security impact.
From the tool's definition Tool name 'bully_attack' and description 'Execute bully for WPS attacks' indicate execution of the Bully WPS penetration testing tool, which actively exploits WPS (Wi-Fi Protected Setup) vulnerabilities in wireless networks.
Documented attack patterns abuse exactly the kind of access bully_attack 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 bully_attack:
{
"version": "1",
"default": "deny",
"tools": {
"bully_attack": {
"limits": [
{
"counter": "bully_attack_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}bully_attack 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.
Execute bully for WPS attacks. It is categorised as a Execute tool in the Kali Security MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Kali Security MCP server in PolicyLayer and add a rule for bully_attack: 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.
bully_attack 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 bully_attack 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 bully_attack. 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.
bully_attack 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.
Free to start. No card required.
249 Kali Security MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.