mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
synced 2026-08-01 16:40:24 +00:00
Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):
- brain/ LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
dispatch, A51 channels, and the OSINT cluster
- knowledge/ LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
MITRE ATT&CK data
- reference/ defensive threat-reference (C3, shhbruh doc) + AdaYaml parser
License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.
Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.
https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
131 lines
4.8 KiB
Python
131 lines
4.8 KiB
Python
#!/usr/bin/env python3
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"""BeyondCorp zero trust access assessment agent using Google Cloud IAP API via requests."""
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import argparse
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import json
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import logging
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import os
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import subprocess
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import sys
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from datetime import datetime
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from typing import List
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try:
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import requests
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except ImportError:
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sys.exit("requests required: pip install requests")
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logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] %(message)s")
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logger = logging.getLogger(__name__)
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def get_gcloud_token() -> str:
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"""Get access token from gcloud CLI."""
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try:
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result = subprocess.run(
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["gcloud", "auth", "print-access-token"], capture_output=True, text=True, timeout=10)
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return result.stdout.strip()
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except FileNotFoundError:
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return ""
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def list_iap_resources(project_id: str, token: str) -> List[dict]:
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"""List IAP-protected resources in a GCP project."""
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url = f"https://iap.googleapis.com/v1/projects/{project_id}/iap_tunnel/locations/-/destGroups"
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resp = requests.get(url, headers={"Authorization": f"Bearer {token}"}, timeout=30)
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if resp.status_code == 200:
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return resp.json().get("destGroups", [])
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return []
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def get_iap_settings(project_id: str, resource: str, token: str) -> dict:
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"""Get IAP settings for a specific resource."""
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url = f"https://iap.googleapis.com/v1/projects/{project_id}/iap_web/compute/services/{resource}:iapSettings"
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resp = requests.get(url, headers={"Authorization": f"Bearer {token}"}, timeout=30)
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if resp.status_code == 200:
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return resp.json()
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return {"error": resp.status_code}
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def list_access_levels(org_id: str, policy_name: str, token: str) -> List[dict]:
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"""List Access Context Manager access levels."""
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url = f"https://accesscontextmanager.googleapis.com/v1/accessPolicies/{policy_name}/accessLevels"
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resp = requests.get(url, headers={"Authorization": f"Bearer {token}"}, timeout=30)
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if resp.status_code == 200:
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return resp.json().get("accessLevels", [])
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return []
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def audit_iap_bindings(project_id: str, token: str) -> List[dict]:
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"""Audit IAM policy bindings for IAP-secured resources."""
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url = f"https://cloudresourcemanager.googleapis.com/v1/projects/{project_id}:getIamPolicy"
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resp = requests.post(url, headers={"Authorization": f"Bearer {token}"},
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json={}, timeout=30)
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if resp.status_code != 200:
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return []
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bindings = resp.json().get("bindings", [])
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iap_bindings = [b for b in bindings if "iap" in b.get("role", "").lower()]
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return iap_bindings
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def assess_zero_trust_posture(project_id: str, token: str) -> dict:
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"""Assess BeyondCorp zero trust posture for a project."""
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iap_resources = list_iap_resources(project_id, token)
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iap_bindings = audit_iap_bindings(project_id, token)
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findings = []
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if not iap_resources:
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findings.append({"severity": "HIGH", "finding": "No IAP-protected resources found"})
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if not iap_bindings:
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findings.append({"severity": "HIGH", "finding": "No IAP IAM bindings configured"})
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allUsers = any("allUsers" in str(b.get("members", [])) for b in iap_bindings)
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if allUsers:
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findings.append({"severity": "CRITICAL", "finding": "IAP binding includes allUsers"})
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return {
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"iap_resources": len(iap_resources),
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"iap_bindings": len(iap_bindings),
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"findings": findings,
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}
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def generate_report(project_id: str, token: str) -> dict:
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"""Generate BeyondCorp zero trust assessment report."""
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report = {
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"analysis_date": datetime.utcnow().isoformat(),
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"project": project_id,
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"posture": assess_zero_trust_posture(project_id, token),
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}
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score = 100
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for f in report["posture"]["findings"]:
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if f["severity"] == "CRITICAL":
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score -= 30
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elif f["severity"] == "HIGH":
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score -= 15
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report["zero_trust_score"] = max(0, score)
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return report
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def main():
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parser = argparse.ArgumentParser(description="BeyondCorp Zero Trust Assessment Agent")
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parser.add_argument("--project", required=True, help="GCP project ID")
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parser.add_argument("--token", default="", help="Access token (or uses gcloud)")
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parser.add_argument("--output-dir", default=".")
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parser.add_argument("--output", default="beyondcorp_report.json")
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args = parser.parse_args()
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token = args.token or get_gcloud_token()
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if not token:
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logger.error("No access token. Run: gcloud auth print-access-token")
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sys.exit(1)
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os.makedirs(args.output_dir, exist_ok=True)
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report = generate_report(args.project, token)
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out_path = os.path.join(args.output_dir, args.output)
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with open(out_path, "w") as f:
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json.dump(report, f, indent=2)
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logger.info("Report saved to %s", out_path)
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print(json.dumps(report, indent=2))
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if __name__ == "__main__":
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main()
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