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implementing-cloud-vulnerability-posture-management

implementing-cloud-vulnerability-posture-management

github.com/mukul975Security35.2k61 installsUpdated 8w ago
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About implementing-cloud-vulnerability-posture-management

An implementation skill for cloud security teams setting up multi-cloud posture management across AWS and Azure. It covers native security services, Prowler and ScoutSuite assessments, and aggregating scan results.

Key features

  1. 01Checks controls with AWS Security Hub
  2. 02Configures Azure Defender for Cloud
  3. 03Scans AWS with Prowler
  4. 04Assesses AWS and Azure with ScoutSuite
  5. 05Aggregates multi-cloud scan results

Use cases

  1. 01Establishing multi-cloud misconfiguration monitoring
  2. 02Configuring controls for compliance requirements
  3. 03Assessing AWS or Azure security posture

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill implementing-cloud-vulnerability-posture-management

After installing, type/implementing-cloud-vulnerability-posture-managementin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

LICENSE
assets/
template.md
references/
api-reference.md
standards.md
workflows.md
scripts/
agent.py
process.py

Details

From the project README

Implementing Cloud Vulnerability Posture Management

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 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 10
Security Hub Standards
StandardDescription
AWS Foundational Security Best PracticesAWS-recommended baseline controls
CIS AWS Foundations Benchmark 1.4CIS hardening requirements
PCI DSS v3.2.1Payment card industry controls
NIST SP 800-53 Rev 5Federal 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 table

Open-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
CategoryExamples
IAMRoot MFA, password policy, access key rotation
S3Public access, encryption, versioning
EC2Security groups, EBS encryption, metadata service
RDSPublic access, encryption, backup retention
CloudTrailEnabled, encrypted, log validation
VPCFlow logs, default SG restrictions
LambdaPublic access, runtime versions
EKSPublic 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 browser

Multi-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 report

References

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