Google Cloud Pentesting

What Google Cloud Pentesting Actually Covers

Google cloud pentesting is not a single test type so much as an authorised exercise across the control plane, data plane and workload layer. It looks at how identities are granted access, how resources are exposed, and whether Google Cloud settings allow unintended reach into projects, storage, compute or serverless services.

Because cloud risk often sits in the relationships between services, the test has to follow the path an attacker would take, not just check one product at a time. That means reviewing IAM paths, network boundaries, storage permissions, service account behaviour and the logging that should reveal abuse.

Why Authorisation and Scope Matter First

A cloud pentest is only meaningful when it is tightly scoped and explicitly authorised. The main value comes from testing real attack paths without crossing into disruption, violating provider policy, or creating avoidable operational risk.

For Google Cloud specifically, scope should make clear which organisations, projects, identities, IP ranges, test accounts and techniques are allowed. A strong engagement also defines stop conditions, evidence handling and whether the tester may simulate credential abuse, privilege escalation or persistence attempts.

That is why a general pentest process is often the right starting point, but it must be adapted to cloud-specific rules of engagement. For a structured baseline on engagement design and reporting, see the Penetration Testing Guide.

Attack Paths Commonly Checked in Google Cloud

The most important findings usually come from misused identity paths, overly broad roles, exposed service endpoints, and weak trust between projects or services. In Google Cloud, a pentest often examines whether a low-privilege foothold can be turned into broader access through role chaining, token abuse or overly permissive service account design.

Network exposure still matters, but cloud testing usually goes beyond open ports. Public storage access, metadata exposure, misconfigured serverless entry points, and overly generous workload permissions can all provide a route into sensitive data or management functions.

Google Cloud security reviews are strongest when they combine organisation policy, IAM design, audit logging and central guardrails. NHIMG’s Google Cloud Security Guide is a useful companion for the platform controls that a pentest is likely to challenge.

What Good Testing Should Prove or Disprove

A useful Google Cloud pentest does more than list exposures. It should prove whether an attacker could move from discovery to access, from access to privilege expansion, and from privilege to data exposure or persistence under realistic conditions.

That usually means validating whether logs capture the right identity events, whether alerting would detect suspicious use of service accounts or tokens, and whether restricted resources stay restricted when tested from untrusted networks or compromised workloads.

It should also challenge cloud governance assumptions. If a control only works when everyone follows a convention, or if security depends on a single project-level setting being manually maintained, the test should expose that fragility before an adversary does.

Why Logging, Forensics and Remediation Are Part of the Test

In cloud environments, the value of pentesting is not only in finding weaknesses, but in showing whether the organisation can detect and explain them afterwards. Logging gaps, weak retention and incomplete asset visibility can make a real compromise look like normal activity.

After findings are confirmed, remediation should focus on the control that failed, not just the symptom. In Google Cloud that often means reducing privilege, tightening org policy, removing unnecessary exposure, fixing default trust paths and improving audit visibility.

If a tester can plausibly obtain credentials, tokens, service account access or other secret material, that material should be treated as compromised and reviewed for rotation or revocation. For investigative follow-through across cloud logs and evidence handling, see the Cloud Forensics Guide.

Related resources from NHI Mgmt Group

• Guide: Cloud Penetration Testing Guide
• How should security teams choose between Google Cloud IAP and a privileged access platform?
• How should teams manage Google Cloud IAM permissions when allow and deny policies use different formats?
• What is the difference between IAM v1 and IAM v2 permissions in Google Cloud?
• How should teams limit blast radius when using Google Cloud Secret Manager?