performing-aws-account-enumeration-with-scout-suite

mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026

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$npx skills install mukul975/Anthropic-Cybersecurity-Skills/performing-aws-account-enumeration-with-scout-suite
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summary

Perform comprehensive security posture assessment of AWS accounts using ScoutSuite to enumerate resources, identify misconfigurations, and generate actionable security reports.

skill.md
name
performing-aws-account-enumeration-with-scout-suite
description
Perform comprehensive security posture assessment of AWS accounts using ScoutSuite to enumerate resources, identify misconfigurations, and generate actionable security reports.
domain
cybersecurity
subdomain
cloud-security
tags
- aws - scoutsuite - cloud-security - enumeration - misconfiguration - security-audit - cspm - nccgroup
version
'1.0'
author
mahipal
license
Apache-2.0
nist_csf
- PR.IR-01 - ID.AM-08 - GV.SC-06 - DE.CM-01

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

  • 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 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

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

ServiceCritical Checks
IAMRoot account MFA, password policy, unused credentials, overprivileged policies
S3Public buckets, unencrypted buckets, versioning disabled, logging disabled
EC2Security groups with 0.0.0.0/0, unencrypted EBS volumes, public IPs
RDSPublic accessibility, unencrypted databases, backup retention
CloudTrailLogging disabled, log file validation, multi-region disabled
LambdaPublic access, environment variable secrets, VPC configuration

Interpreting Findings

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

References

how to use performing-aws-account-enumeration-with-scout-suite

How to use performing-aws-account-enumeration-with-scout-suite on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add performing-aws-account-enumeration-with-scout-suite
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/performing-aws-account-enumeration-with-scout-suite

The skills CLI fetches performing-aws-account-enumeration-with-scout-suite from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/performing-aws-account-enumeration-with-scout-suite

Reload or restart Cursor to activate performing-aws-account-enumeration-with-scout-suite. Access the skill through slash commands (e.g., /performing-aws-account-enumeration-with-scout-suite) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.758 reviews
  • Pratham Ware· Dec 28, 2024

    performing-aws-account-enumeration-with-scout-suite is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Sophia Ramirez· Dec 28, 2024

    I recommend performing-aws-account-enumeration-with-scout-suite for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Dhruvi Jain· Dec 24, 2024

    performing-aws-account-enumeration-with-scout-suite has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Charlotte Choi· Dec 12, 2024

    Useful defaults in performing-aws-account-enumeration-with-scout-suite — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Anika Shah· Dec 12, 2024

    performing-aws-account-enumeration-with-scout-suite has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Kiara Jain· Dec 4, 2024

    performing-aws-account-enumeration-with-scout-suite is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Ishan Abebe· Nov 19, 2024

    Keeps context tight: performing-aws-account-enumeration-with-scout-suite is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Oshnikdeep· Nov 15, 2024

    Solid pick for teams standardizing on skills: performing-aws-account-enumeration-with-scout-suite is focused, and the summary matches what you get after install.

  • Carlos Kim· Nov 3, 2024

    Solid pick for teams standardizing on skills: performing-aws-account-enumeration-with-scout-suite is focused, and the summary matches what you get after install.

  • Nia Farah· Oct 22, 2024

    We added performing-aws-account-enumeration-with-scout-suite from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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