GPO Attack Graph Enrich
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Merge GPO audit findings into the agent attack graph.
Accepts a JSON export from GPO scanners plus an optional LDAP scope map.
"""
from __future__ import annotations
import json
from pathlib import Path
from kittysploit import *
from lib.protocols.ldap.ad_client import Ad_client
from lib.protocols.ldap.gpo_graph_enrich import merge_gpo_findings_into_kb
from lib.protocols.ldap.gpo_helpers import map_gpos_to_computers
class Module(Post, Ad_client):
__info__ = {
"name": "GPO Attack Graph Enrich",
"description": (
"Merge GPO local group / privilege findings into the agent attack graph "
"using LDAP-derived GPO scope when available."
),
"author": "KittySploit Team",
"session_type": SessionType.LDAP,
"tags": ["ad", "ldap", "gpo", "graph", "bloodhound"],
"agent": {
"risk": "passive",
"effects": ["file_read"],
"expected_requests": 1,
"reversible": True,
"approval_required": False,
"produces": ["risk_signals", "gpo_graph_enriched"],
"chain": {
"consumes_capabilities": ["ldap_access"],
"produces_capabilities": ["admin_access"],
},
},
}
findings_file = OptString("", "JSON file with GPO findings (findings[])", True)
scope_file = OptString("", "Optional JSON file with gpo_computer_map", False)
domain = OptString("", "AD domain label for graph root (optional)", False)
target = OptString("", "Domain controller for live LDAP scope lookup", False)
username = OptString("", "Bind user (DOMAIN\\user or user@domain)", False)
password = OptString("", "Bind password", False)
def _load_json(self, path: str):
p = Path(str(path or "").strip())
if not p.is_file():
return None
return json.loads(p.read_text(encoding="utf-8", errors="replace"))
def run(self):
raw = self._load_json(str(self.findings_file or ""))
if not isinstance(raw, dict):
print_error("findings_file must contain a JSON object")
return False
findings = raw.get("findings") or raw.get("group_findings") or []
if not isinstance(findings, list) or not findings:
print_error("No GPO findings found in input file")
return False
gpo_computer_map = {}
scope_raw = self._load_json(str(self.scope_file or ""))
if isinstance(scope_raw, dict):
gpo_computer_map = scope_raw.get("gpo_computer_map") or scope_raw.get("gpo_scope") or {}
if not gpo_computer_map and str(self.target or "").strip():
if self.conn:
_, live_map = map_gpos_to_computers(self)
gpo_computer_map = live_map
else:
print_warning("LDAP scope lookup failed; graph edges may be incomplete")
kb = {}
if getattr(self, "framework", None) and hasattr(self.framework, "agent_state"):
state = getattr(self.framework, "agent_state", None)
if state and isinstance(getattr(state, "knowledge_base", None), dict):
kb = state.knowledge_base
added = merge_gpo_findings_into_kb(
kb,
findings,
gpo_computer_map,
domain=str(self.domain or "").strip(),
)
print_success(f"Added {added} GPO-derived edge(s) to attack graph")
self.vulnerability_info = {
"edges_added": added,
"findings_loaded": len(findings),
"gpo_scope_entries": len(gpo_computer_map),
}
return added > 0
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10 Jul 2026 11:31Current
5.8Medium risk
Vulners AI Score5.8