conducting-cloud-penetration-testing
Lets your agent test the security of cloud environments (AWS, Azure, GCP). It looks for misconfigurations and cloud-specific vulnerabilities.
What it does
This tool helps to test the security of cloud environments (like AWS, Azure, GCP) in an authorized manner. It checks if security configurations are correct, if there are weaknesses an attacker could exploit, and how to report these findings.
When to use it
- ✓Before launching a cloud system into production.
- ✓After major changes to the cloud infrastructure.
- ✓To simulate attacks and test incident response.
Example of what to ask your AI
“I want to test my AWS account's security before launching the application.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool uses cloud-specific methods and tools to find weaknesses. It checks access permissions, network configurations, and other vulnerabilities, following a defined plan.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill conducting-cloud-penetration-testingOr download just the file:
curl -L https://raw.githubusercontent.com/mukul975/Anthropic-Cybersecurity-Skills/main/skills/conducting-cloud-penetration-testing/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Conducting Cloud Penetration Testing
When to Use
- 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.
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
Step 1: Define Scope and Rules of Engagement
Establish testing boundaries based on the shared responsibility model. The customer is responsible for testing configurations, IAM policies, application security, and data protection. The cloud provider manages physical infrastructure, hypervisor, and managed service internals.
Cloud Penetration Test Scope Document
=======================================
Target: AWS Account 123456789012 (Production)
Testing Window: 2025-02-24 08:00 UTC to 2025-02-28 18:00 UTC
Authorization: Signed by CISO, dated 2025-02-20
IN SCOPE:
- IAM users, roles, policies, and cross-account trust
- EC2 instances, security groups, and network ACLs
- S3 bucket policies and data access controls
- Lambda functions, API Gateway endpoints
- RDS/DynamoDB access controls and encryption
- EKS cluster RBAC and network policies
- CloudTrail, Config, and monitoring gaps
OUT OF SCOPE:
- AWS managed service internals (RDS engine, Lambda runtime)
- DDoS attacks or volumetric testing
- Physical infrastructure or hypervisor attacks
- Social engineering of AWS support
EMERGENCY CONTACT: security-ops@company.com, +1-555-0199
Step 2: Reconnaissance and Cloud Enumeration
Use cloud-specific tools to enumerate the attack surface: exposed services, public IPs, S3 buckets, IAM configurations, and metadata endpoints.
# ScoutSuite multi-cloud assessment
scout suite aws --profile target-account --report-dir ./scout-report
# Prowler comprehensive AWS security assessment
prowler aws -M json-ocsf -o ./prowler-output --profile target-account
# CloudFox for identifying privilege escalation paths
cloudfox aws --profile target-account all-checks
# Enumerate public S3 buckets
for bucket in $(aws s3api list-buckets --query 'Buckets[*].Name' --output text); do
aws s3api get-bucket-policy-status --bucket $bucket 2>/dev/null | grep -q "true" && echo "PUBLIC: $bucket"
done
# Check for IMDS v1 (vulnerable to SSRF)
aws ec2 describe-instances \
--query 'Reservations[*].Instances[*].[InstanceId,MetadataOptions.HttpTokens]' \
--output table
Step 3: IAM Privilege Escalation Testing
Use Pacu to identify and exploit IAM misconfigurations that allow privilege escalation from a low-privilege starting point to administrative access.
# Initialize Pacu session
pacu
# Set stolen or test credentials
set_keys --key-alias test-creds
# Run IAM enumeration modules
run iam__enum_users_roles_policies_groups
run iam__enum_permissions
# Check for privilege escalation paths
run iam__privesc_scan
# Common escalation paths to test:
# 1. iam:CreatePolicyVersion - Create new policy version with admin access
# 2. iam:AttachUserPolicy - Attach AdministratorAccess to self
# 3. iam:PassRole + lambda:CreateFunction - Create Lambda with admin role
# 4. iam:PassRole + ec2:RunInstances - Launch EC2 with admin instance profile
# 5. sts:AssumeRole - Cross-account role assumption without MFA condition
Step 4: SSRF to Cloud Metadata Service Exploitation
Test web applications for Server-Side Request Forgery vulnerabilities that can reach the instance metadata service (IMDS) at 169.254.169.254 to steal IAM role credentials.
# Test for IMDS v1 access (no token required)
…
FAQ
What is the 'shared responsibility model'?
It's an agreement defining what the cloud provider (AWS, Azure, GCP) handles (e.g., physical data center security) and what the customer handles (e.g., their account's security configurations).
Can I use this to attack any cloud account?
No, you can only use this tool in environments for which you have explicit, written authorization from the account owner.
What tools are used?
Tools like Pacu, ScoutSuite, and Prowler are commonly used to automate the search for vulnerabilities in cloud environments.
Details
Original description by the author
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
Popularity
- GitHub stars
- 35k
- Ranking position
- #5570
- License
- Apache-2.0
- Updated
- 8/31/2026
Comments
- …
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