npx skills add mukul975/Anthropic-Cybersecurity-SkillsMITRE ATT&CK
Overview
Cloud Security Posture Management (CSPM) continuously monitors cloud infrastructure for misconfigurations, compliance violations, and security risks. Unlike traditional vulnerability scanning, CSPM focuses on cloud-native risks: IAM over-permissions, exposed storage buckets, unencrypted data, missing network controls, and service misconfigurations. This skill covers multi-cloud CSPM using AWS Security Hub, Azure Defender for Cloud, and open-source tools like Prowler and ScoutSuite.
When to Use
- When deploying or configuring implementing cloud vulnerability posture management capabilities in your environment
- When establishing security controls aligned to compliance requirements
- When building or improving security architecture for this domain
- When conducting security assessments that require this implementation
Prerequisites
- AWS CLI configured with SecurityAudit IAM policy
- Azure CLI with Security Reader role
- Python 3.9+ with
boto3,azure-identity,azure-mgmt-security - Prowler (https://github.com/prowler-cloud/prowler)
- ScoutSuite (https://github.com/nccgroup/ScoutSuite)
AWS Security Hub
Enable Security Hub
# Enable AWS Security Hub with default standards
aws securityhub enable-security-hub \
--enable-default-standards \
--region us-east-1
# Enable specific standards
aws securityhub batch-enable-standards \
--standards-subscription-requests \
'{"StandardsArn":"arn:aws:securityhub:us-east-1::standards/aws-foundational-security-best-practices/v/1.0.0"}' \
'{"StandardsArn":"arn:aws:securityhub:us-east-1::standards/cis-aws-foundations-benchmark/v/1.4.0"}'
# Get findings summary
aws securityhub get-findings \
--filters '{"SeverityLabel":[{"Value":"CRITICAL","Comparison":"EQUALS"}],"RecordState":[{"Value":"ACTIVE","Comparison":"EQUALS"}]}' \
--max-items 10Security Hub Standards
| Standard | Description |
|---|---|
| AWS Foundational Security Best Practices | AWS-recommended baseline controls |
| CIS AWS Foundations Benchmark 1.4 | CIS hardening requirements |
| PCI DSS v3.2.1 | Payment card industry controls |
| NIST SP 800-53 Rev 5 | Federal security controls |
Azure Defender for Cloud
Enable Defender CSPM
# Enable Defender for Cloud free tier
az security pricing create \
--name CloudPosture \
--tier standard
# Check secure score
az security secure-score list \
--query "[].{Name:displayName,Score:current,Max:max}" \
--output table
# Get security recommendations
az security assessment list \
--query "[?status.code=='Unhealthy'].{Name:displayName,Severity:metadata.severity,Resource:resourceDetails.id}" \
--output table
# Get alerts
az security alert list \
--query "[?status=='Active'].{Name:alertDisplayName,Severity:severity,Time:timeGeneratedUtc}" \
--output tableOpen-Source: Prowler
Installation and Execution
# Install Prowler
pip install prowler
# Run full AWS scan
prowler aws --output-formats json-ocsf,csv,html
# Run specific checks
prowler aws --checks s3_bucket_public_access iam_root_mfa_enabled ec2_sg_open_to_internet
# Run against specific AWS profile and region
prowler aws --profile production --region us-east-1 --output-formats json-ocsf
# Run CIS Benchmark compliance check
prowler aws --compliance cis_1.5_aws
# Run PCI DSS compliance
prowler aws --compliance pci_3.2.1_aws
# Scan Azure environment
prowler azure --subscription-ids "sub-id-here"
# Scan GCP environment
prowler gcp --project-ids "project-id-here"Prowler Check Categories
| Category | Examples |
|---|---|
| IAM | Root MFA, password policy, access key rotation |
| S3 | Public access, encryption, versioning |
| EC2 | Security groups, EBS encryption, metadata service |
| RDS | Public access, encryption, backup retention |
| CloudTrail | Enabled, encrypted, log validation |
| VPC | Flow logs, default SG restrictions |
| Lambda | Public access, runtime versions |
| EKS | Public endpoint, secrets encryption |
Open-Source: ScoutSuite
# Install ScoutSuite
pip install scoutsuite
# Run AWS assessment
scout aws --profile production
# Run Azure assessment
scout azure --cli
# Run GCP assessment
scout gcp --project-id my-project
# Results available as interactive HTML report
# Open scout-report/report.html in browserMulti-Cloud Aggregation
import json
import subprocess
from datetime import datetime, timezone
def run_prowler_scan(provider, output_dir, compliance=None):
"""Run Prowler scan for a cloud provider."""
cmd = ["prowler", provider, "--output-formats", "json-ocsf",
"--output-directory", output_dir]
if compliance:
cmd.extend(["--compliance", compliance])
result = subprocess.run(cmd, capture_output=True, text=True, timeout=3600)
return result.returncode == 0
def aggregate_findings(prowler_dirs):
"""Aggregate findings from multiple Prowler scans."""
all_findings = []
for scan_dir in prowler_dirs:
json_files = list(Path(scan_dir).glob("*.json"))
for jf in json_files:
with open(jf, "r") as f:
for line in f:
try:
finding = json.loads(line.strip())
all_findings.append(finding)
except json.JSONDecodeError:
continue
# Sort by severity
severity_order = {"critical": 0, "high": 1, "medium": 2, "low": 3, "informational": 4}
all_findings.sort(key=lambda f: severity_order.get(
f.get("severity", "informational").lower(), 5
))
return all_findings
def generate_posture_report(findings, output_path):
"""Generate cloud security posture report."""
report = {
"generated_at": datetime.now(timezone.utc).isoformat(),
"total_findings": len(findings),
"by_severity": {},
"by_provider": {},
"by_service": {},
}
for f in findings:
sev = f.get("severity", "unknown")
provider = f.get("cloud_provider", "unknown")
service = f.get("service_name", "unknown")
report["by_severity"][sev] = report["by_severity"].get(sev, 0) + 1
report["by_provider"][provider] = report["by_provider"].get(provider, 0) + 1
report["by_service"][service] = report["by_service"].get(service, 0) + 1
with open(output_path, "w") as f:
json.dump(report, f, indent=2)
return reportReferences
References and resources
Everything below is rendered for inspection. Script files are read-only and never run.
References 3
api-reference.md1.7 KB
API Reference: Cloud Security Posture Management Agent
Dependencies
| Library | Version | Purpose |
|---|---|---|
| boto3 | >=1.28 | AWS SDK for Security Hub findings and compliance |
| prowler | >=4.0 | Open-source cloud security scanner (optional, via subprocess) |
CLI Usage
python scripts/agent.py \
--profile security-audit \
--region us-east-1 \
--output-dir /reports/ \
--output cspm_report.jsonFunctions
get_securityhub_client(profile, region)
Creates boto3 Security Hub client.
get_findings_summary(client, max_results) -> dict
Calls client.get_findings() filtered to NEW/ACTIVE findings, groups by severity.
get_compliance_summary(client) -> list
Calls client.get_enabled_standards() then describe_standards_controls() per standard. Returns compliance percentages.
run_prowler_scan(profile, region) -> dict
Executes prowler aws --output-formats json via subprocess with 10-minute timeout.
generate_report(client, profile, region) -> dict
Combines Security Hub and Prowler results into unified CSPM report.
boto3 Security Hub Methods
| Method | Purpose |
|---|---|
get_findings(Filters, MaxResults) |
Retrieve active findings |
get_enabled_standards() |
List enabled compliance standards |
describe_standards_controls(StandardsSubscriptionArn) |
Control-level compliance |
Output Schema
{
"summary": {"finding_counts": {"CRITICAL": 3, "HIGH": 12}, "total_findings": 45},
"compliance_standards": [{"standard": "cis-aws-foundations-benchmark", "compliance_pct": 78.5}],
"recommendations": ["Remediate 3 CRITICAL findings immediately"]
}standards.md1.6 KB
Standards and References - Cloud Vulnerability Posture Management
Cloud Security Standards
CIS Benchmarks for Cloud
- AWS: https://www.cisecurity.org/benchmark/amazon_web_services
- Azure: https://www.cisecurity.org/benchmark/azure
- GCP: https://www.cisecurity.org/benchmark/google_cloud_computing_platform
- Relevance: Prescriptive hardening guidance for cloud service configurations
NIST SP 800-53 Rev 5
- URL: https://csrc.nist.gov/publications/detail/sp/800-53/rev-5/final
- Key Controls: AC-6 (Least Privilege), CM-6 (Configuration Settings), SC-7 (Boundary Protection)
CSA Cloud Controls Matrix (CCM) v4
- URL: https://cloudsecurityalliance.org/research/cloud-controls-matrix
- Relevance: Cloud-specific security control framework aligned with major compliance standards
AWS Well-Architected Security Pillar
Azure Security Benchmark v3
Tools
| Tool | Provider | License | URL |
|---|---|---|---|
| AWS Security Hub | AWS | Pay-per-use | https://aws.amazon.com/security-hub/ |
| Azure Defender for Cloud | Microsoft | Free + Standard tiers | https://azure.microsoft.com/en-us/products/defender-for-cloud |
| Prowler | Open Source | Apache 2.0 | https://github.com/prowler-cloud/prowler |
| ScoutSuite | NCC Group | GPL-2.0 | https://github.com/nccgroup/ScoutSuite |
| Steampipe | Turbot | AGPL-3.0 | https://github.com/turbot/steampipe |
| CloudSploit | Aqua Security | GPL-3.0 | https://github.com/aquasecurity/cloudsploit |
workflows.md1.3 KB
Workflows - Cloud Vulnerability Posture Management
Workflow 1: Daily Cloud Posture Assessment
- Prowler scans all cloud accounts (AWS, Azure, GCP) on daily schedule
- Results exported as JSON-OCSF and uploaded to central SIEM
- New critical/high findings trigger Slack notifications
- Findings compared against previous day for delta analysis
- New misconfigurations create Jira tickets for cloud team
Workflow 2: Compliance Baseline Assessment
- Select compliance framework (CIS, PCI DSS, NIST 800-53, SOC 2)
- Run Prowler with compliance flag against each cloud account
- Generate compliance-specific report with pass/fail per control
- Map failed controls to remediation actions
- Track compliance posture score over time
Workflow 3: Remediation and Verification
- Cloud engineer receives Jira ticket for misconfiguration
- Engineer applies fix via Terraform/CloudFormation/ARM template
- Targeted Prowler re-scan validates fix
- Jira ticket auto-closed on pass
- Infrastructure-as-code updated to prevent recurrence
Workflow 4: Multi-Cloud Executive Report
- Aggregate findings from all providers
- Calculate posture scores by account, region, and service
- Trend analysis showing improvement or degradation
- Risk heat map by cloud service category
- Present to security leadership monthly
Scripts 2
agent.py5.3 KB
#!/usr/bin/env python3
"""Cloud Security Posture Management agent using boto3 for AWS Security Hub and Prowler."""
import argparse
import json
import logging
import os
import subprocess
import sys
from datetime import datetime
from typing import List
try:
import boto3
from botocore.exceptions import ClientError
except ImportError:
sys.exit("boto3 required: pip install boto3")
logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] %(message)s")
logger = logging.getLogger(__name__)
def get_securityhub_client(profile: str = "", region: str = "us-east-1"):
"""Create Security Hub client."""
session = boto3.Session(profile_name=profile) if profile else boto3.Session()
return session.client("securityhub", region_name=region)
def get_findings_summary(client, max_results: int = 100) -> dict:
"""Get Security Hub findings grouped by severity."""
try:
resp = client.get_findings(
Filters={"WorkflowStatus": [{"Value": "NEW", "Comparison": "EQUALS"}],
"RecordState": [{"Value": "ACTIVE", "Comparison": "EQUALS"}]},
MaxResults=max_results,
)
findings = resp.get("Findings", [])
by_severity = {"CRITICAL": [], "HIGH": [], "MEDIUM": [], "LOW": []}
for f in findings:
sev = f.get("Severity", {}).get("Label", "LOW")
if sev in by_severity:
by_severity[sev].append({
"title": f.get("Title", ""),
"resource": f.get("Resources", [{}])[0].get("Id", ""),
"standard": f.get("ProductName", ""),
"created": f.get("CreatedAt", ""),
})
return {sev: items for sev, items in by_severity.items()}
except ClientError as exc:
return {"error": str(exc)}
def get_compliance_summary(client) -> List[dict]:
"""Get compliance status across enabled security standards."""
try:
resp = client.get_enabled_standards()
standards = []
for sub in resp.get("StandardsSubscriptions", []):
arn = sub.get("StandardsSubscriptionArn", "")
controls = client.describe_standards_controls(StandardsSubscriptionArn=arn, MaxResults=100)
total = len(controls.get("Controls", []))
passed = sum(1 for c in controls.get("Controls", [])
if c.get("ComplianceStatus") == "PASSED")
standards.append({
"standard": sub.get("StandardsArn", "").split("/")[-1],
"status": sub.get("StandardsStatus", ""),
"total_controls": total,
"passed": passed,
"failed": total - passed,
"compliance_pct": round(passed / total * 100, 1) if total else 0,
})
return standards
except ClientError as exc:
return [{"error": str(exc)}]
def run_prowler_scan(profile: str = "", region: str = "us-east-1") -> dict:
"""Run Prowler security scan via subprocess."""
cmd = ["prowler", "aws", "--output-formats", "json", "-M", "json-ocsf"]
if profile:
cmd.extend(["--profile", profile])
if region:
cmd.extend(["--region", region])
try:
result = subprocess.run(cmd, capture_output=True, text=True, timeout=600)
if result.stdout:
lines = result.stdout.strip().split("\n")
findings = [json.loads(line) for line in lines if line.strip()]
return {"findings_count": len(findings), "findings": findings[:50]}
except (FileNotFoundError, subprocess.TimeoutExpired):
logger.warning("Prowler not available or timed out")
return {}
def generate_report(client, profile: str, region: str) -> dict:
"""Generate CSPM report combining Security Hub and Prowler."""
report = {"analysis_date": datetime.utcnow().isoformat(), "region": region}
report["security_hub_findings"] = get_findings_summary(client)
report["compliance_standards"] = get_compliance_summary(client)
counts = {sev: len(items) for sev, items in report["security_hub_findings"].items()
if isinstance(items, list)}
report["summary"] = {
"finding_counts": counts,
"total_findings": sum(counts.values()),
"standards_assessed": len(report["compliance_standards"]),
}
report["recommendations"] = []
if counts.get("CRITICAL", 0) > 0:
report["recommendations"].append(
f"Remediate {counts['CRITICAL']} CRITICAL findings immediately")
return report
def main():
parser = argparse.ArgumentParser(description="Cloud Security Posture Management Agent")
parser.add_argument("--profile", default="")
parser.add_argument("--region", default="us-east-1")
parser.add_argument("--output-dir", default=".")
parser.add_argument("--output", default="cspm_report.json")
args = parser.parse_args()
os.makedirs(args.output_dir, exist_ok=True)
client = get_securityhub_client(args.profile, args.region)
report = generate_report(client, args.profile, args.region)
out_path = os.path.join(args.output_dir, args.output)
with open(out_path, "w") as f:
json.dump(report, f, indent=2, default=str)
logger.info("Report saved to %s", out_path)
print(json.dumps(report["summary"], indent=2))
if __name__ == "__main__":
main()
process.py7.5 KB
#!/usr/bin/env python3
"""Cloud Vulnerability Posture Management Tool.
Orchestrates multi-cloud security posture assessments using Prowler,
aggregates findings, and generates compliance reports.
"""
import argparse
import json
import os
import subprocess
import sys
from datetime import datetime, timezone
from pathlib import Path
try:
import boto3
except ImportError:
boto3 = None
def run_prowler_aws(profile=None, region=None, compliance=None, output_dir="./prowler_output"):
"""Execute Prowler scan against AWS account."""
cmd = ["prowler", "aws", "--output-formats", "json-ocsf,csv", "--output-directory", output_dir]
if profile:
cmd.extend(["--profile", profile])
if region:
cmd.extend(["--region", region])
if compliance:
cmd.extend(["--compliance", compliance])
print(f"[*] Running Prowler AWS scan...")
result = subprocess.run(cmd, capture_output=True, text=True, timeout=7200)
if result.returncode == 0:
print("[+] Prowler AWS scan completed successfully")
else:
print(f"[-] Prowler AWS scan failed: {result.stderr[:500]}")
return result.returncode == 0
def run_prowler_azure(subscription_id=None, output_dir="./prowler_output"):
"""Execute Prowler scan against Azure subscription."""
cmd = ["prowler", "azure", "--output-formats", "json-ocsf,csv", "--output-directory", output_dir]
if subscription_id:
cmd.extend(["--subscription-ids", subscription_id])
print(f"[*] Running Prowler Azure scan...")
result = subprocess.run(cmd, capture_output=True, text=True, timeout=7200)
if result.returncode == 0:
print("[+] Prowler Azure scan completed successfully")
else:
print(f"[-] Prowler Azure scan failed: {result.stderr[:500]}")
return result.returncode == 0
def get_aws_security_hub_findings(region="us-east-1", severity="CRITICAL"):
"""Fetch findings from AWS Security Hub."""
if not boto3:
print("[-] boto3 not installed")
return []
client = boto3.client("securityhub", region_name=region)
findings = []
paginator = client.get_paginator("get_findings")
for page in paginator.paginate(
Filters={
"SeverityLabel": [{"Value": severity, "Comparison": "EQUALS"}],
"RecordState": [{"Value": "ACTIVE", "Comparison": "EQUALS"}],
},
MaxResults=100,
):
findings.extend(page.get("Findings", []))
print(f"[+] Retrieved {len(findings)} {severity} findings from Security Hub")
return findings
def parse_prowler_output(output_dir):
"""Parse Prowler JSON-OCSF output files."""
findings = []
output_path = Path(output_dir)
for json_file in output_path.rglob("*.ocsf.json"):
with open(json_file, "r", encoding="utf-8") as f:
for line in f:
line = line.strip()
if not line:
continue
try:
finding = json.loads(line)
findings.append({
"provider": finding.get("cloud", {}).get("provider", "unknown"),
"account": finding.get("cloud", {}).get("account", {}).get("uid", ""),
"region": finding.get("cloud", {}).get("region", ""),
"service": finding.get("resources", [{}])[0].get("type", "") if finding.get("resources") else "",
"check_id": finding.get("metadata", {}).get("uid", ""),
"title": finding.get("finding_info", {}).get("title", ""),
"severity": finding.get("severity", "unknown"),
"status": finding.get("status", ""),
"description": finding.get("finding_info", {}).get("desc", ""),
"remediation": finding.get("remediation", {}).get("desc", ""),
"resource_uid": finding.get("resources", [{}])[0].get("uid", "") if finding.get("resources") else "",
})
except (json.JSONDecodeError, KeyError, IndexError):
continue
return findings
def generate_posture_report(findings, output_path):
"""Generate cloud security posture report."""
severity_map = {"critical": 0, "high": 1, "medium": 2, "low": 3, "informational": 4}
failed = [f for f in findings if f.get("status", "").lower() in ("fail", "failed")]
passed = [f for f in findings if f.get("status", "").lower() in ("pass", "passed")]
report = {
"generated_at": datetime.now(timezone.utc).isoformat(),
"total_checks": len(findings),
"passed": len(passed),
"failed": len(failed),
"pass_rate": round(len(passed) / max(len(findings), 1) * 100, 1),
"failed_by_severity": {},
"failed_by_provider": {},
"failed_by_service": {},
"top_findings": [],
}
for f in failed:
sev = str(f.get("severity", "unknown")).lower()
provider = f.get("provider", "unknown")
service = f.get("service", "unknown")
report["failed_by_severity"][sev] = report["failed_by_severity"].get(sev, 0) + 1
report["failed_by_provider"][provider] = report["failed_by_provider"].get(provider, 0) + 1
report["failed_by_service"][service] = report["failed_by_service"].get(service, 0) + 1
critical_high = [f for f in failed if str(f.get("severity", "")).lower() in ("critical", "high")]
critical_high.sort(key=lambda x: severity_map.get(str(x.get("severity", "")).lower(), 5))
report["top_findings"] = critical_high[:20]
with open(output_path, "w", encoding="utf-8") as fh:
json.dump(report, fh, indent=2)
print(f"\n[+] Cloud Posture Report: {output_path}")
print(f" Total checks: {report['total_checks']}")
print(f" Passed: {report['passed']} | Failed: {report['failed']}")
print(f" Pass rate: {report['pass_rate']}%")
print(f" Failed by severity: {json.dumps(report['failed_by_severity'])}")
return report
def main():
parser = argparse.ArgumentParser(description="Cloud Vulnerability Posture Management")
parser.add_argument("--scan-aws", action="store_true", help="Run Prowler AWS scan")
parser.add_argument("--scan-azure", action="store_true", help="Run Prowler Azure scan")
parser.add_argument("--profile", help="AWS profile name")
parser.add_argument("--region", help="AWS region")
parser.add_argument("--subscription", help="Azure subscription ID")
parser.add_argument("--compliance", help="Compliance framework (e.g., cis_1.5_aws)")
parser.add_argument("--parse", help="Parse Prowler output directory")
parser.add_argument("--security-hub", action="store_true", help="Fetch from AWS Security Hub")
parser.add_argument("--output", default="cloud_posture_report.json")
parser.add_argument("--output-dir", default="./prowler_output")
args = parser.parse_args()
if args.scan_aws:
run_prowler_aws(args.profile, args.region, args.compliance, args.output_dir)
if args.scan_azure:
run_prowler_azure(args.subscription, args.output_dir)
if args.parse:
findings = parse_prowler_output(args.parse)
print(f"[*] Parsed {len(findings)} findings")
generate_posture_report(findings, args.output)
if args.security_hub:
findings = get_aws_security_hub_findings(args.region or "us-east-1")
print(f"[*] Retrieved {len(findings)} Security Hub findings")
if not any([args.scan_aws, args.scan_azure, args.parse, args.security_hub]):
parser.print_help()
if __name__ == "__main__":
main()