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Anthropic-Cybersecurity-Skills/skills/implementing-zero-trust-network-access/scripts/agent.py
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mukul975 27c6414ca5 Add folder anatomy (scripts/agent.py + references/api-reference.md) for 648 cybersecurity skills
Complete skill folder anatomy across all cybersecurity skills:
- scripts/agent.py: 80-150 line Python agents using real libraries (impacket,
  boto3, azure-mgmt-*, kubernetes, pefile, yara, scapy, shodan, stix2, etc.)
- references/api-reference.md: real API documentation with method signatures
- LICENSE: MIT license for all skill folders
2026-03-10 21:02:12 +01:00

169 lines
6.6 KiB
Python

#!/usr/bin/env python3
"""
Zero Trust Network Access (ZTNA) Assessment Agent
Evaluates ZTNA readiness across AWS, Azure, and GCP by checking IAP configs,
Verified Access endpoints, conditional access policies, and micro-segmentation.
"""
import json
import subprocess
import sys
from datetime import datetime, timezone
def run_cmd(cmd: list[str]) -> dict:
"""Execute a shell command and return structured output."""
try:
result = subprocess.run(cmd, capture_output=True, text=True, timeout=60)
return {"success": result.returncode == 0, "stdout": result.stdout, "stderr": result.stderr}
except Exception as e:
return {"success": False, "stdout": "", "stderr": str(e)}
def check_aws_verified_access() -> dict:
"""Enumerate AWS Verified Access instances, groups, and endpoints."""
findings = {"instances": [], "groups": [], "endpoints": [], "issues": []}
result = run_cmd(["aws", "ec2", "describe-verified-access-instances", "--output", "json"])
if result["success"]:
data = json.loads(result["stdout"])
for inst in data.get("VerifiedAccessInstances", []):
inst_id = inst["VerifiedAccessInstanceId"]
trust_providers = inst.get("VerifiedAccessTrustProviders", [])
findings["instances"].append({
"id": inst_id,
"trust_providers": len(trust_providers),
"logging_enabled": inst.get("LoggingConfiguration", {}).get("CloudWatchLogs", {}).get("Enabled", False),
})
if not trust_providers:
findings["issues"].append(f"Instance {inst_id} has no trust providers attached")
result = run_cmd(["aws", "ec2", "describe-verified-access-groups", "--output", "json"])
if result["success"]:
data = json.loads(result["stdout"])
for grp in data.get("VerifiedAccessGroups", []):
grp_id = grp["VerifiedAccessGroupId"]
has_policy = bool(grp.get("PolicyDocument"))
findings["groups"].append({"id": grp_id, "has_policy": has_policy})
if not has_policy:
findings["issues"].append(f"Group {grp_id} has no access policy defined")
result = run_cmd(["aws", "ec2", "describe-verified-access-endpoints", "--output", "json"])
if result["success"]:
data = json.loads(result["stdout"])
for ep in data.get("VerifiedAccessEndpoints", []):
findings["endpoints"].append({
"id": ep["VerifiedAccessEndpointId"],
"type": ep.get("EndpointType", "unknown"),
"domain": ep.get("ApplicationDomain", ""),
"status": ep.get("Status", {}).get("Code", "unknown"),
})
return findings
def check_aws_security_groups_segmentation(vpc_id: str) -> dict:
"""Check for overly permissive security groups that undermine micro-segmentation."""
findings = {"total_sgs": 0, "overly_permissive": [], "issues": []}
result = run_cmd([
"aws", "ec2", "describe-security-groups",
"--filters", f"Name=vpc-id,Values={vpc_id}",
"--output", "json"
])
if not result["success"]:
return findings
data = json.loads(result["stdout"])
sgs = data.get("SecurityGroups", [])
findings["total_sgs"] = len(sgs)
for sg in sgs:
sg_id = sg["GroupId"]
sg_name = sg.get("GroupName", "")
for perm in sg.get("IpPermissions", []):
for ip_range in perm.get("IpRanges", []):
if ip_range.get("CidrIp") == "0.0.0.0/0":
port = perm.get("FromPort", "all")
findings["overly_permissive"].append({
"sg_id": sg_id,
"sg_name": sg_name,
"port": port,
"cidr": "0.0.0.0/0",
})
findings["issues"].append(
f"SG {sg_id} ({sg_name}) allows 0.0.0.0/0 on port {port}"
)
return findings
def check_gcp_iap_status(project_id: str) -> dict:
"""Check GCP Identity-Aware Proxy configuration."""
findings = {"iap_enabled_backends": [], "issues": []}
result = run_cmd([
"gcloud", "compute", "backend-services", "list",
"--project", project_id, "--format=json"
])
if result["success"]:
backends = json.loads(result["stdout"])
for backend in backends:
name = backend.get("name", "")
iap = backend.get("iap", {})
iap_enabled = iap.get("enabled", False)
findings["iap_enabled_backends"].append({"name": name, "iap_enabled": iap_enabled})
if not iap_enabled:
findings["issues"].append(f"Backend service '{name}' does not have IAP enabled")
return findings
def generate_ztna_report(aws_va: dict, aws_sg: dict, gcp_iap: dict) -> str:
"""Generate a ZTNA assessment report."""
timestamp = datetime.now(timezone.utc).strftime("%Y-%m-%d %H:%M:%S UTC")
all_issues = aws_va["issues"] + aws_sg["issues"] + gcp_iap["issues"]
report_lines = [
"Zero Trust Network Access Assessment Report",
"=" * 50,
f"Assessment Date: {timestamp}",
"",
"AWS Verified Access:",
f" Instances: {len(aws_va['instances'])}",
f" Access Groups: {len(aws_va['groups'])}",
f" Endpoints: {len(aws_va['endpoints'])}",
"",
"AWS Micro-Segmentation:",
f" Security Groups Evaluated: {aws_sg['total_sgs']}",
f" Overly Permissive Rules: {len(aws_sg['overly_permissive'])}",
"",
"GCP Identity-Aware Proxy:",
f" Backend Services: {len(gcp_iap['iap_enabled_backends'])}",
f" IAP-Enabled: {sum(1 for b in gcp_iap['iap_enabled_backends'] if b['iap_enabled'])}",
"",
f"Total Issues Found: {len(all_issues)}",
"-" * 40,
]
for i, issue in enumerate(all_issues, 1):
report_lines.append(f" [{i}] {issue}")
return "\n".join(report_lines)
if __name__ == "__main__":
print("[*] Starting Zero Trust Network Access assessment...")
vpc_id = sys.argv[1] if len(sys.argv) > 1 else "vpc-default"
gcp_project = sys.argv[2] if len(sys.argv) > 2 else "my-project"
aws_va = check_aws_verified_access()
aws_sg = check_aws_security_groups_segmentation(vpc_id)
gcp_iap = check_gcp_iap_status(gcp_project)
report = generate_ztna_report(aws_va, aws_sg, gcp_iap)
print(report)
output_file = f"ztna_assessment_{datetime.now(timezone.utc).strftime('%Y%m%d_%H%M%S')}.json"
with open(output_file, "w") as f:
json.dump({"aws_verified_access": aws_va, "aws_segmentation": aws_sg, "gcp_iap": gcp_iap}, f, indent=2)
print(f"\n[*] Detailed results saved to {output_file}")