Overview
Prowler is an open-source cloud security posture assessment tool that evaluates AWS, Azure, GCP, and Kubernetes environments against security best practices. This guide provides practical implementation steps for security engineers.
Key Features
• Multi-cloud support: AWS, Azure, GCP, Kubernetes
• 400+ security checks across multiple frameworks (CIS, NIST, PCI DSS, GDPR)
• Multiple output formats: JSON, CSV, HTML, ASFF
• CI/CD integration: GitHub Actions, Jenkins, GitLab
• Custom checks: Python-based extensibility
Installation Methods
Quick Start - Docker
AWS scan:
docker run -it --rm -v ~/.aws:/home/prowler/.aws prowlercloud/prowler aws --services s3 ec2
Azure scan:
docker run -it --rm -v ~/.azure:/home/prowler/.azure prowlercloud/prowler azure --services storage compute
Python Installation
pip install prowler
prowler aws --services iam ec2 s3
Common Use Cases
1. Compliance Auditing
CIS AWS benchmark:
prowler aws --compliance cis_v1.5_aws
NIST framework:
prowler aws --compliance aws_foundational_security_standard
2. Continuous Monitoring
JSON output for SIEM integration:
prowler aws --output-formats json --output-directory /var/log/security/
ASFF format for Security Hub:
prowler aws --security-hub --output-formats aws-security-finding-format
3. Multi-Account Assessment
Using AWS Organizations:
prowler aws --organizations-role ProwlerRole
Specific accounts:
prowler aws --role arn:aws:iam::ACCOUNT:role/ProwlerRole
Integration Tips
CI/CD Pipeline Integration
GitHub Actions:
- name: Run Prowler Security Scan
uses: prowler-cloud/prowler@main
with:
command: aws --services s3 iam --severity critical high
post-to-security-hub: true
Jenkins:
stage('Security Scan') {
steps {
sh 'prowler aws --output-formats json --quiet'
publishHTML([allowMissing: false,
alwaysLinkToLastBuild: true,
keepAll: true,
reportDir: 'output',
reportFiles: '*.html'])
}
}
SIEM Integration
Splunk HEC:
prowler aws --output-formats json | curl -k "https://splunk:8088/services/collector" -H "Authorization: Splunk YOUR_TOKEN" -d @-
ELK Stack:
filebeat.inputs:
- type: log
paths:
- "/var/log/prowler/*.json"
json.keys_under_root: true
Common Issues and Solutions
Permission Errors
Issue: "Access denied" errors during scans
Solution: Use ReadOnlyAccess + SecurityAudit managed policies:
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"support:Describe*",
"trustedadvisor:Describe*"
],
"Resource": "*"
}
]
}
Rate Limiting
Issue: API throttling with large environments
Solution: Use service filtering and parallel execution:
Split by services:
prowler aws --services iam --parallel
prowler aws --services s3 --parallel
Use rate limiting:
prowler aws --aws-retries 3 --sleep-seconds 1
Memory Issues
Issue: Out of memory errors on large scans
Solution: Filter by region and services:
Region-specific scans:
prowler aws --regions us-east-1 us-west-2
Critical services only:
prowler aws --services iam s3 ec2 --severity critical
Recent GitHub Issues (Sept 2025)
Active Development Areas
• GitHub Security Checks: New checks for organization settings (#8660-8663)
• Multi-account UI: Enhanced scanning interface (#8537)
• Azure China Support: Regional compliance fixes (#8425)
• M365 Compliance: CISA baseline integration (#8381)
• Token Management: 24-hour expiration fixes (#8170)
Known Bugs to Monitor
• Timestamp Issues: Report timestamps may be incorrect (#8591)
• False Positives: OpenSearch accessibility checks (#8566)
• Firehose Encryption: False positive findings (#8564)
• Docker Compose: EC2 connection issues (#8369)
Best Practices
1. Baseline Establishment
Initial comprehensive scan:
prowler aws --compliance cis_v1.5_aws --output-formats html json
Store baseline:
mv output/prowler-output-* /security/baselines/$(date +%Y%m%d)/
2. Regular Monitoring
Daily critical checks:
0 2 * * * prowler aws --severity critical --quiet --output-formats json
Weekly full scan:
0 1 * * 0 prowler aws --compliance cis_v1.5_aws
3. Alert Thresholds
Fail pipeline on critical findings:
prowler aws --severity critical
if [ $? -ne 0 ]; then
echo "Critical security issues found"
exit 1
fi
4. Custom Checks
Create custom checks in prowler/providers/aws/services/custom/:
from prowler.lib.check.models import Check, Check_Report_AWS
class custom_s3_encryption(Check):
def execute(self):
findings = []
for bucket in s3_client.buckets:
if not bucket.encryption:
report = Check_Report_AWS(self.metadata())
report.resource_id = bucket.name
report.status = "FAIL"
findings.append(report)
return findings
Support Resources
• GitHub: https://github.com/prowler-cloud/prowler
• Documentation: https://docs.prowler.pro
• Slack Community: Join via GitHub issue #4124
• Commercial Support: https://prowler.pro
Next Steps
1. Start Small: Begin with single-service scans (IAM, S3)
2. Automate: Integrate into CI/CD pipelines
3. Customize: Add organization-specific checks
4. Scale: Implement multi-account scanning
5. Monitor: Set up continuous compliance monitoring
For Loki Labs implementations, coordinate with the SOC team for SIEM integration and establish baseline security postures for all client environments.
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