Performing AWS Account Enumeration With Scout Suite

Performing AWS Account Enumeration with ScoutSuite

Overview

ScoutSuite is an open-source multi-cloud security auditing tool developed by NCC Group that enables comprehensive security posture assessment of AWS environments. It queries AWS APIs to gather configuration data across all services, stores results locally, and generates interactive HTML reports highlighting high-risk areas. ScoutSuite is agentless and works by analyzing how cloud resources are configured, accessed, and monitored.

When to Use

Trigger phrases:

• "performing aws account enumeration with scout suite"

• "Perform comprehensive security posture assessment of AWS accounts using ScoutSui"

• When conducting security assessments that involve performing aws account enumeration with scout suite

• When following incident response procedures for related security events

• When performing scheduled security testing or auditing activities

• When validating security controls through hands-on testing

Prerequisites

• Python 3.6+ installed
• AWS CLI configured with appropriate IAM credentials
• Read-only IAM permissions across target AWS services (SecurityAudit managed policy recommended)
• pip package manager for ScoutSuite installation
• Network access to AWS API endpoints

Installation and Setup

# Install required dependencies
sudo apt-get update && sudo apt-get install -y <tool-name>

Install ScoutSuite

pip install scoutsuite

Verify installation

scout --version

Configure AWS credentials

aws configure
# Or use environment variables:
export AWS_ACCESS_KEY_ID=<your-key>
export AWS_SECRET_ACCESS_KEY=<your-secret>
export AWS_DEFAULT_REGION=us-east-1

Required IAM Policy

Attach the AWS managed policy SecurityAudit and ViewOnlyAccess to the IAM user or role running ScoutSuite. For comprehensive scanning, a custom policy may be needed:

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": [
        "acm:Describe*",
        "acm:List*",
        "cloudformation:Describe*",
        "cloudformation:Get*",
        "cloudformation:List*",
        "cloudtrail:Describe*",
        "cloudtrail:Get*",
        "cloudtrail:List*",
        "cloudwatch:Describe*",
        "cloudwatch:Get*",
        "cloudwatch:List*",
        "config:Describe*",
        "config:Get*",
        "config:List*",
        "dynamodb:Describe*",
        "dynamodb:List*",
        "ec2:Describe*",
        "ec2:Get*",
        "elasticloadbalancing:Describe*",
        "iam:Generate*",
        "iam:Get*",
        "iam:List*",
        "iam:Simulate*",
        "kms:Describe*",
        "kms:Get*",
        "kms:List*",
        "lambda:Get*",
        "lambda:List*",
        "logs:Describe*",
        "logs:Get*",
        "rds:Describe*",
        "rds:List*",
        "redshift:Describe*",
        "route53:Get*",
        "route53:List*",
        "s3:Get*",
        "s3:List*",
        "ses:Get*",
        "ses:List*",
        "sns:Get*",
        "sns:List*",
        "sqs:Get*",
        "sqs:List*",
        "ssm:Describe*",
        "ssm:Get*",
        "ssm:List*"
      ],
      "Resource": "*"
    }
  ]
}

Running ScoutSuite

This section covers running scoutsuite for performing aws account enumeration with scout suite.

• Ensure all prerequisites are met before proceeding
• Follow the documented workflow steps in sequence
• Record results and any anomalies encountered during this phase

Full AWS scan

scout aws

Scan specific services only

scout aws --services s3 iam ec2 rds

Scan specific regions

scout aws --regions us-east-1 us-west-2 eu-west-1

Use an assumed role for cross-account scanning

scout aws --profile target-account-profile

Exclude specific services from scan

scout aws --skip iam ec2

Specify output directory

scout aws --report-dir /tmp/scoutsuite-reports/

Report Analysis

ScoutSuite generates an interactive HTML report stored locally. The report includes:

1. Dashboard: Overview of findings by severity (danger, warning, good)
2. Service-level findings: Grouped by AWS service (IAM, S3, EC2, RDS, etc.)
3. Rule-based checks: Each finding maps to a security best practice rule
4. Resource inventory: Complete listing of enumerated resources

Key areas to review in the report

Interpreting Findings

This section covers interpreting findings for performing aws account enumeration with scout suite.

• Ensure all prerequisites are met before proceeding
• Follow the documented workflow steps in sequence
• Record results and any anomalies encountered during this phase

Severity Levels

• Danger (Red): Critical security issues requiring immediate remediation (e.g., S3 buckets with public write access)
• Warning (Orange): Moderate risk findings that should be addressed (e.g., unused IAM access keys)
• Good (Green): Security best practices that are properly configured

Common High-Risk Findings

1. IAM root account without MFA: The AWS root account has no multi-factor authentication enabled
2. S3 bucket policy allows public access: Bucket policies with Principal set to "*"
3. Security group allows unrestricted SSH: Inbound rule allowing 0.0.0.0/0 on port 22
4. CloudTrail not enabled in all regions: Audit logging gaps allow unmonitored API activity
5. RDS instance publicly accessible: Database endpoints reachable from the internet

Remediation Workflow

1. Run ScoutSuite scan to establish baseline
2. Export findings and prioritize by severity
3. Create remediation tickets for danger and warning findings
4. Implement fixes (update security groups, enable encryption, restrict access)
5. Re-run ScoutSuite to verify remediation
6. Schedule regular scans (weekly or after infrastructure changes)

Integration with CI/CD

# Run ScoutSuite in CI/CD pipeline and fail on danger findings
scout aws --services s3 iam ec2 --no-browser --report-dir ./scout-report/

# Parse results programmatically
python -c "
import json
with open('./scout-report/scoutsuite-results/scoutsuite_results.json') as f:
    results = json.load(f)
    for service in results.get('services', {}):
        findings = results['services'][service].get('findings', {})
        for finding_id, finding in findings.items():
            if finding.get('flagged_items', 0) > 0 and finding.get('level') == 'danger':
                print(f'CRITICAL: {finding_id} - {finding.get(\"description\", \"\")}')
"

Multi-Cloud Capability

ScoutSuite supports multiple cloud providers using the same framework:

# Azure
scout azure --cli

# GCP
scout gcp --user-account

# AWS with specific profile
scout aws --profile production

When NOT to Use

• You don't have explicit written authorization to test
• Task is about defense/detection, not offense (use detection skills)
• You need to implement security controls (use implementing-* skills)
• Task requires compliance auditing (use auditing-* skills)
• You're investigating an incident (use incident response skills)
• Target is out of scope for your engagement
• Task is about vulnerability scanning only (use scanning tools)

Red Flags

• Performing actions without explicit written authorization from the asset owner
• Testing against production systems without a defined scope and rules of engagement
• Modifying cloud IAM policies or security groups without approval
• Exposing cloud credentials or secrets in logs or reports
• Running scans that generate excessive API calls and trigger billing alerts

Verification

• All steps executed successfully against a test environment before production use
• Output documented with screenshots or logs demonstrating expected behavior
• Cloud resource changes reverted or documented as intentional
• IAM policies reviewed for least-privilege compliance after testing
• No residual test resources left running (cost and security check)

References

• ScoutSuite GitHub Repository: https://github.com/nccgroup/ScoutSuite
• AWS Security Audit Checklist
• CIS AWS Foundations Benchmark
• AWS Well-Architected Security Pillar

Process

1. Analyze the task requirements
2. Apply domain expertise
3. Verify output quality

Anti-Rationalization Table