GCP penetration testing is the structured assessment of a Google Cloud environment for exploitable security weaknesses. The focus areas are GCP-specific: IAM bindings and service account configurations, GKE workload identity and cluster RBAC, Cloud Storage bucket access controls, Compute Engine metadata service exposure, Cloud Functions and Cloud Run service-account permissions, and the cross-service interactions that enable realistic attack paths.
Google operates a shared responsibility model similar to AWS. Google secures the underlying platform; customers secure their configuration within it. The majority of GCP-environment breaches trace to customer-side misconfiguration, which is exactly what customer-side GCP pentesting identifies.
IAM and service account analysis including privilege escalation paths
GKE cluster security review (RBAC, workload identity, pod security)
Cloud Storage bucket configuration and access review
Compute Engine, Cloud Functions, Cloud Run security review
VPC, firewall rules, and network architecture analysis
GCP-specific remediation guidance from cloud-native specialists
GCP estates demand GCP-specific testing. IAM model, service account semantics, and GKE architecture differ enough from AWS or Azure that cross-platform testers consistently miss platform-specific risk.
GCP environments share the same root cause for most breaches as other clouds: customer-side misconfiguration. Over-permissive IAM bindings, exposed Cloud Storage buckets, weak GKE cluster RBAC, and service account impersonation chains are all common and exploitable. Generic infrastructure testing rarely covers these effectively.
GCP also has distinctive risk patterns that AWS-trained testers can miss, service account key file management, workload identity binding mistakes, cross-project IAM grants, and the specific Cloud Storage ACL model. GCP-specialist testing is necessary for credible coverage.
Service account impersonation chains enabling privilege escalation
Overly-permissive IAM bindings at folder or organisation level
Public Cloud Storage buckets leaking customer data
GKE workload identity bindings enabling cluster takeover
Compute Engine metadata service exposure
Service account key files leaked into source control
GCP testing is the highest-ROI security investment for organisations with significant GCP workloads, the findings are typically high-impact and tractable to fix.
Any organisation with substantial GCP workloads benefits from regular GCP-specific testing:
GCP-specific methodology aligned to Google's customer testing guidance, combining configuration review, IAM analysis, and active exploitation where in scope.
We agree the in-scope GCP projects, services, and testing approach. Read-only IAM role access established at appropriate organisation/folder/project level.
Enumeration of GCP resources across in-scope projects, services in use, regions, folder/organisation hierarchy, project relationships.
Deep analysis of IAM bindings, service accounts, and impersonation chains, looking for privilege escalation paths across the project hierarchy.
Cloud Storage bucket configurations, public access settings, signed URL usage, encryption posture, and accidental exposure of sensitive data.
Compute Engine configurations, instance metadata service exposure, GKE cluster RBAC, workload identity bindings, pod security policies.
Cloud Functions, Cloud Run, and App Engine service account permissions, deployment configurations, and event-triggered risks.
Manual exploitation of identified weaknesses where engagement scope allows, service account impersonation, metadata service abuse, cross-project attack paths.
Assessment of Cloud Logging, Cloud Asset Inventory, Security Command Center coverage, identifying detection gaps for the attack paths we identified.
Typical engagement: 5-8 days for single-project environments, 10-15 days for multi-project GCP organisations, longer for very large or complex estates.
Every GCP testing engagement with RedSecLabs includes:
We deliver this service across these industries:
GCP differs enough from AWS and Azure that platform-specialist testing matters. Our GCP testers are cloud-native engineers who have built GCP environments themselves, they know the IAM model, the workload identity semantics, the GKE architecture, and the realistic attack paths through GCP estates. The remediation guidance reflects implementation reality, not theoretical best practice.
Book a free 30-minute scoping call. Fixed-fee proposal within 48 hours, engagement starts within 1-2 weeks.