# Conducting Cloud Penetration Testing

> Use when this skill outlines methodologies for performing authorized penetration testing against AWS, Azure, and GCP cloud environments. It covers understanding the shared responsibility model for testing scope, leveraging cloud-specific attack tools like Pacu and ScoutSuite, exploiting IAM misconfigurations, testing for SSRF to cloud metadata services, and reporting findings aligned to MITRE ATT&CK Cloud matrix.

- Skill: `oyi77/conducting-cloud-penetration-testing` (Agent Skill)
- Install (CLI): `npx skillmds add oyi77/conducting-cloud-penetration-testing`
- Raw SKILL.md: https://api.skillmd.com/api/skills/oyi77/conducting-cloud-penetration-testing/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- License: Apache-2.0
- Author: oyi77 (https://skillmd.com/u/oyi77)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/oyi77/conducting-cloud-penetration-testing

---


# Conducting Cloud Penetration Testing

## Overview

Cybersecurity skill for conducting cloud penetration testing. Follows industry best practices and security standards.

## When to Use
**Trigger phrases:**
- "conducting cloud penetration testing"
- "This skill outlines methodologies for performing authorized penetration testing "


- When performing authorized security assessments of cloud environments before production deployment
- When validating cloud security controls after a major architectural change or migration
- When compliance requirements mandate annual penetration testing of cloud infrastructure
- When testing incident response readiness by simulating realistic cloud-based attack scenarios
- When assessing lateral movement risk across multi-account or multi-cloud environments

**Do not use** for unauthorized testing against cloud accounts, for testing cloud provider infrastructure itself (covered by the shared responsibility model), or for DDoS simulation without explicit cloud provider approval.


## When NOT to Use

- When you lack proper authorization for testing
- For production systems without change management
- When the task requires legal or compliance expertise beyond technical scope


## Prerequisites

- Written authorization from the cloud account owner and scope definition document
- AWS, Azure, or GCP penetration testing policy acknowledgment (AWS no longer requires pre-approval for most services)
- Isolated testing account or explicitly scoped production account with breakglass procedures
- Cloud-specific offensive tooling installed: Pacu (AWS), ScoutSuite, Prowler, CloudFox
- MITRE ATT&CK Cloud matrix for finding classification

## Workflow

```python
# Example: IOC detection
import re

IOC_PATTERNS = {
    "ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
    "domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
    "hash_md5": r"\b[a-f0-9]{32}\b",
    "hash_sha256": r"\b[a-f0-9]{64}\b",
}

def extract_iocs(text: str) -> dict:
    return {k: re.findall(v, text) for k, v in IOC_PATTERNS.items()}
```

1. **Scope the Analysis** — Define what cloud penetration testing artifacts or data sources to examine and the investigation timeline.
2. **Preserve Evidence** — Create forensic copies of relevant data. Maintain chain of custody documentation.
3. **Extract Key Indicators** — Parse and extract relevant cloud penetration testing data points from collected artifacts.
4. **Correlate Findings** — Cross-reference extracted data with other sources (threat intel, logs, timelines).
5. **Build Timeline** — Construct a chronological sequence of events related to cloud penetration testing.
6. **Document Analysis** — Write findings report with evidence, conclusions, and recommendations.

## Tools

- **Forensic Toolkit** — Evidence collection and analysis
- **Timeline Tools** — Chronological event reconstruction
- **Log Analysis Platform** — Centralized log parsing and search


## Process

1. **Design** — Define interface, identify patterns, plan implementation
1. **Implement** — Write code following existing conventions, add tests
1. **Verify** — Run tests, check integration, validate behavior

## Verification

- [ ] All cloud penetration testing procedures executed completely and documented
- [ ] Findings validated against multiple data sources
- [ ] False positives identified and filtered
- [ ] Results documented with evidence and timestamps
- [ ] Recommendations provided with risk-based prioritization

## Anti-Rationalization Table

| Rationalization | Reality |
|---|---|
| "We are too small to be targeted" | Automated attacks target everyone. Size does not matter. |
| "Security slows us down" | A breach slows you down 100x more. Build security in from the start. |
| "We will fix it after launch" | Vulnerabilities in production are exploited within hours. Fix before deploy. |