Perform Cloud Penetration Tests

Cloud Penetration Testing is a skill for authorized security assessments across Microsoft Azure, Amazon Web Services, and Google Cloud Platform. Its workflow covers reconnaissance, authentication, resource enumeration, and evaluation of cloud misconfigurations. It also addresses privilege escalation, data extraction, and persistence as assessment topics within a defined engagement. The resulting work is organized into a security assessment report, a resource inventory, credential findings, and platform-specific remediation recommendations.

The Azure workflow examines tenant information, contexts, subscriptions, role assignments, resource groups, storage, web applications, SQL databases, virtual machines, users, and groups. Authentication topics include scoped password-spray assessment and cloud credential contexts. Assessment topics include exposed credentials, VM configuration and user data, Key Vault permissions, service principals, and administrative identities. AWS work covers caller identity, users and roles, S3, EC2, RDS, Lambda, EKS, subnets, security groups, and Direct Connect. It considers public database snapshots, function configuration, instance metadata, and access-key management.

GCP work spans organizations, projects, IAM policies, enabled services, source repositories, compute instances, storage buckets, SQL, and Kubernetes. It includes metadata access, service-account scopes, key management, serverless function analysis, and credential storage. These platform-specific phases give an assessment a resource-by-resource structure while keeping account and regional boundaries explicit.

Use it for educational work in controlled environments, defensive validation, or an authorized cloud engagement. Written permission from the system owner, defined scope, rules of engagement, and test credentials or access tokens are prerequisites. Production customer data must remain outside the assessment, and all testing activities must be documented.

Before any command that probes a target, attempts credential access, exploits or changes resources, extracts data, or establishes persistence, the workflow requires an exact target, confirmation of written authorization and permitted scope, and a review of the proposed commands and their expected effects. Explicit confirmation in the current conversation is required before execution. Without it, work stays read-only and defensive. A sandbox, disposable VM, or controlled lab is preferred.

MFA, Conditional Access, resource permissions, and regional access can constrain testing. CloudTrail and Activity Logs record API activity, while unusual access patterns can trigger alerts. Deliberate enumeration and attention to GuardDuty, Security Center, and Cloud Armor are part of the assessment constraints.

Inputs include cloud architecture context, IAM and API authentication knowledge, DevOps familiarity, target identifiers, scope boundaries, and approved access. Findings are delivered with risk ratings, an inventory of services, storage and compute, exposed-secret or misconfiguration findings, and hardening guidance. Troubleshooting checks credentials, MFA, tenant or project selection, current roles, resource policies, regions, metadata controls, firewalls, and rate limiting.

The toolset includes Azure PowerShell modules Az, MSOnline, and AzureAD; AWS CLI; GCP CLI; ScoutSuite; and Pacu. Related assessment tools include AzureHound, ROADTools, WeirdAAL, MicroBurst, and PowerZure. Check AWS caller identity with:

aws sts get-caller-identity

The detailed guide supplies the complete procedure, examples, quick-reference commands, and platform metadata references. Its prerequisites, safety requirements, and validation constraints remain part of the workflow.