Claude 24f816b6a3
Consolidate 22 sibling repos into layered organism structure
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
2026-06-10 06:53:01 +00:00

192 lines
6.9 KiB
Python

#!/usr/bin/env python3
"""
Zero Standing Privilege Audit Tool
Discovers standing privileged access across AWS, Azure, and GCP,
compares against CyberArk ZSP policies, and identifies accounts
that should be migrated to just-in-time access.
Requirements:
pip install boto3 requests
"""
import json
import logging
import sys
from datetime import datetime, timedelta, timezone
logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] %(message)s")
logger = logging.getLogger("zsp_audit")
class StandingPrivilegeDiscovery:
"""Discover standing privileged access across cloud environments."""
def __init__(self):
self.findings = []
def discover_aws_standing_privileges(self, profile_name=None):
"""Find AWS IAM users/roles with standing admin access."""
try:
import boto3
except ImportError:
logger.error("boto3 required: pip install boto3")
return []
session = boto3.Session(profile_name=profile_name)
iam = session.client("iam")
admin_policy_arns = {
"arn:aws:iam::aws:policy/AdministratorAccess",
"arn:aws:iam::aws:policy/PowerUserAccess",
"arn:aws:iam::aws:policy/IAMFullAccess",
}
standing = []
# Check IAM users
paginator = iam.get_paginator("list_users")
for page in paginator.paginate():
for user in page["Users"]:
username = user["UserName"]
attached = iam.list_attached_user_policies(UserName=username)
user_policies = {p["PolicyArn"] for p in attached["AttachedPolicies"]}
has_admin = bool(user_policies & admin_policy_arns)
# Check groups
groups = iam.list_groups_for_user(UserName=username)
for group in groups["Groups"]:
grp_policies = iam.list_attached_group_policies(
GroupName=group["GroupName"]
)
for gp in grp_policies["AttachedPolicies"]:
if gp["PolicyArn"] in admin_policy_arns:
has_admin = True
if has_admin:
access_keys = iam.list_access_keys(UserName=username)
active_keys = [
k for k in access_keys["AccessKeyMetadata"]
if k["Status"] == "Active"
]
standing.append({
"cloud": "AWS",
"identity_type": "User",
"identity": username,
"privilege_level": "Admin",
"policies": list(user_policies & admin_policy_arns),
"active_access_keys": len(active_keys),
"created": user["CreateDate"].isoformat(),
"last_used": str(user.get("PasswordLastUsed", "Never")),
"recommendation": "Migrate to CyberArk ZSP",
})
# Check IAM roles (non-service-linked)
role_paginator = iam.get_paginator("list_roles")
for page in role_paginator.paginate():
for role in page["Roles"]:
if role["Path"].startswith("/aws-service-role/"):
continue
role_policies = iam.list_attached_role_policies(
RoleName=role["RoleName"]
)
role_admin_policies = {
p["PolicyArn"] for p in role_policies["AttachedPolicies"]
} & admin_policy_arns
if role_admin_policies:
standing.append({
"cloud": "AWS",
"identity_type": "Role",
"identity": role["RoleName"],
"privilege_level": "Admin",
"policies": list(role_admin_policies),
"created": role["CreateDate"].isoformat(),
"recommendation": "Convert to ephemeral CyberArk SCA role",
})
self.findings.extend(standing)
logger.info(f"Discovered {len(standing)} AWS standing privileged identities")
return standing
def generate_migration_plan(self):
"""Generate a migration plan to move from standing to ZSP."""
if not self.findings:
return {"status": "No standing privileges found"}
plan = {
"generated_at": datetime.now(timezone.utc).isoformat(),
"total_standing_privileges": len(self.findings),
"by_cloud": {},
"by_type": {},
"migration_waves": [],
}
# Categorize
for finding in self.findings:
cloud = finding["cloud"]
plan["by_cloud"][cloud] = plan["by_cloud"].get(cloud, 0) + 1
id_type = finding["identity_type"]
plan["by_type"][id_type] = plan["by_type"].get(id_type, 0) + 1
# Create migration waves
users = [f for f in self.findings if f["identity_type"] == "User"]
roles = [f for f in self.findings if f["identity_type"] == "Role"]
wave_size = 5
wave_num = 1
for i in range(0, len(users), wave_size):
batch = users[i:i + wave_size]
plan["migration_waves"].append({
"wave": wave_num,
"type": "Users",
"identities": [u["identity"] for u in batch],
"count": len(batch),
"suggested_week": f"Week {wave_num}",
})
wave_num += 1
for i in range(0, len(roles), wave_size):
batch = roles[i:i + wave_size]
plan["migration_waves"].append({
"wave": wave_num,
"type": "Roles",
"identities": [r["identity"] for r in batch],
"count": len(batch),
"suggested_week": f"Week {wave_num}",
})
wave_num += 1
return plan
def export_report(self, output_path):
"""Export standing privilege findings and migration plan."""
report = {
"report_title": "Standing Privilege Discovery Report",
"generated_at": datetime.now(timezone.utc).isoformat(),
"findings": self.findings,
"migration_plan": self.generate_migration_plan(),
}
with open(output_path, "w") as f:
json.dump(report, f, indent=2)
logger.info(f"Report exported to {output_path}")
return report
if __name__ == "__main__":
print("=" * 60)
print("Zero Standing Privilege Audit Tool")
print("=" * 60)
print()
print("Usage:")
print(" discovery = StandingPrivilegeDiscovery()")
print(" discovery.discover_aws_standing_privileges(profile='prod')")
print(" plan = discovery.generate_migration_plan()")
print(" discovery.export_report('zsp_report.json')")