AI agents invoke ad_bloodhound_collect to trigger actions in pentestMCP. 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.
BloodHound collection tools (e.g., SharpHound/BloodHound ingestor) actively enumerate Active Directory environments by querying LDAP, SMB, and other AD services to map attack paths and privilege escalation routes.
From the tool's definition Tool name 'ad_bloodhound_collect' on a penetration testing MCP server alongside tools like ad_dcsync, ad_ldap_dump, ad_kerberoast, and ad_password_spray. Description is empty.
Documented attack patterns abuse exactly the kind of access ad_bloodhound_collect gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and pentestMCP, and nothing reaches the server without passing your rules. This is the rule we recommend for ad_bloodhound_collect:
{
"version": "1",
"default": "deny",
"tools": {
"ad_bloodhound_collect": {
"limits": [
{
"counter": "ad_bloodhound_collect_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} ad_bloodhound_collect 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.
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ad_bloodhound_collect. It is categorised as a Execute tool in the pentestMCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the pentest MCP server in PolicyLayer and add a rule for ad_bloodhound_collect: 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 pentestMCP. Nothing to install.
ad_bloodhound_collect 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 ad_bloodhound_collect 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 ad_bloodhound_collect. 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.
ad_bloodhound_collect is provided by the pentest MCP server (ramkansal/pentestmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 36 pentestMCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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36 pentestMCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.