Offensive Security Learning Center

Google Cloud Platform Pentesting: A Comprehensive Guide for Security Professionals

Written by Cobalt | Oct 8, 2025 9:35:00 PM

For organizations of any size and industry, safeguarding cloud infrastructure is mission critical. Although Google Cloud Platform (GCP) does provide some built-in security measures, the complexity of interconnected services—-as well as the highly customizable nature of setup—-bring added risk. Multiple high-profile security breaches in recent years have resulted from cloud misconfigurations, highlighting the need for a proactive cloud security stance—especially in expansive environments.

In addition, Google’s shared responsibility model puts the burden of securing network infrastructure and data security squarely on the customer. Penetration testing (pentesting) is a critical tool for identifying vulnerabilities and mitigating risks due to access control issues, unsecured APIs, and misconfigurations.

In this guide, we’ll cover what you need to know about GCP pentesting to keep your cloud infrastructure secure and meet your regulatory obligations:

  • What is GCP pentesting?
  • How does GCP pentesting differ from traditional pentests?
  • GCP pentesting policies
  • Five strategies for securing your GCP setup
  • GCP pentesting best practices
  • Secure your Google Cloud setup with Cobalt GCP Pentesting

What is GCP pentesting?

Effective GCP pentesting combines standard pentesting methodologies with a focus on cloud-native risks. While the approach is similar to how testing is performed on environments from other major cloud providers, including AWS and Azure, each platform has its own unique characteristics, policies, and tools that dictate the exact methodology.

For GCP users, the flexibility and customizability that make it so popular also increase the attack surface. This means pentesting is essential for identifying vulnerabilities and access pathways that result from how your specific GCP instance is configured and deployed.

How does GCP pentesting differ from traditional penetration tests?

Traditional on-premises pentesting focuses on network perimeters, physical servers, and independent applications, with the primary goal being to prevent breaches. In contrast, GCP pentesting is centered entirely on the customer's side of the shared responsibility model—that is, the services and assets that are under your control.

For cloud environments, it’s important to use an assumed breach model, rather than simulating an external attacker trying to break through the perimeter. We simulate an attacker who has already gained initial access—for example, through a stolen user credential or compromised application—and reveal how far that access can go, so we can take steps to mitigate risk.

Acting from the assumption that a breach is possible enables a more complete cloud security assessment, allowing organizations to test their internal security controls and defenses to identify weaknesses. By revealing critical attack paths and vulnerabilities within the network, and can be exploited for privilege escalation or data exfiltration, GCP pentesting uncovers a broad range of security risks in increasingly complex cloud environments.

GCP pentesting policies

Pentesting policies are governed by Google’s shared responsibility model, which they call shared fate. This model entails a partnership where security duties are divided between Google and its customers. Google policies also specify what you are and aren’t allowed to test on GCP.

Google’s responsibilities

Google is responsible for securing the underlying cloud infrastructure of its platform. To help customers uphold their side of the partnership, Google provides in-depth guidance for security best practices. This includes recommendations for designing, deploying, and operating cloud workloads that align with your own security, privacy, and compliance needs.

Google also offers secured, attested infrastructure code that customers can use to deploy workloads securely. And when necessary, they release solutions that combine various Google Cloud services to solve complex security issues.

Customer responsibilities

GCP customers are responsible for understanding their company’s security and compliance requirements, and identifying the security controls that must be configured in Google Cloud to protect confidential data and workloads.

In deciding which security controls to implement, Google recommends factoring in your compliance obligations for your industry and location, your organization’s security standards and risk management plan, and any other security requirements you’re bound to uphold for your end customers and vendors.

Responsibilities are defined by the type of workload you’re running and the cloud services you need—for example, IaaS, PaaS, SaaS, FaaS—as well as by your industry and regulatory framework, and your location. European-based businesses, for example, must meet GDPR requirements, while California-based companies are subject to the California Consumer Privacy Act (CCPA) and the California Privacy Rights Act (CPRA). Ensuring that your GCP deployments meet industry-specific regulations like HIPAA or PCI DSS is another key benefit of security testing.

Although Google does not require pre-approval, all pentesting must be in compliance with Google’s Acceptable Use Policy. This dictates that you can only conduct pentesting on your own assets and resources, including buckets, functions, Compute Engine instances, and GKE clusters. Any pentesting that disrupts service availability or impacts other tenants, such as testing vulnerabilities on shared infrastructure, is strictly forbidden.

Five strategies for securing your GCP setup

  1. Vulnerability assessments: Use automated tools to scan your GCP networks, applications, and services for known vulnerabilities and misconfigurations. This will help you quickly identify common weaknesses.

  2. Penetration testing: By manually attempting to exploit the vulnerabilities you've found, you can find out if real-world attackers are able to gain unauthorized access, escalate privileges, or access sensitive data.

  3. Configuration review: This is essential for cloud environments because you are manually reviewing the settings of your GCP services to ensure they’re implemented correctly and follow security best practices. Focus on the following key areas:

Access controls (IAM): Ensure permissions and roles are correctly configured by performing:

  • Systematic enumeration using multi-cloud frameworks such as Pacu (though originally an AWS exploitation framework, the principles Pacu employs—enumerating roles, users, and permissions—are universal).
  • Principal enumeration and privilege assessment.
  • Cross-account/cross-project/cross-subscription trust relationship analysis.
  • IAM policy analysis for over-permissions and privilege escalation paths.
  • Service-specific permission validation across compute, storage, serverless, and database environments.

Data  encryption: Verify that data is properly encrypted in transit and at rest by:

  • Validating TLS enforcement and TDE; CMK usage where applicable.
  • Encrypting OS/data disks and unattached disks with CMKs. 

Network security: Check firewall rules and other network settings by:

  • Reviewing firewall rules, service endpoints/private endpoints, and deny-by-default posture.
  • Setting default network access rule to “deny”—start with ACLs that deny all, and give permissions as needed for highly sensitive networks.
  • Limit “Firewalls & Networks” to selected networks; set to prefer private endpoints.
  • Apply tiered segmentation, restrict inbound rules, and leverage your CDN, firewall, or WAF for ingress control.          
  1. Automated secret scanning:  This highly effective, low-effort practice focuses on a single, critical vulnerability type: hardcoded secrets. Tools like GitGuardian, TruffleHog, and native solutions from platforms like GitHub Secret Scanning use pattern matching and heuristics to find these secrets.

According to a Google Cloud report, compromised credentials account for over 60% of security breaches, highlighting how critical and effective automated secret scanning can be.

  1. Threat modeling: This proactive, strategic approach involves analyzing your entire GCP environment to identify potential threats and attack vectors. By understanding how an attacker might target your system, you can prioritize security measures and implement controls to mitigate those risks before they are exploited.

GCP pentesting best practices

Combe wholly automated vulnerability assessment with pentesting that involves both automated and manual methods to identify and exploit vulnerabilities, and create a more robust approach to uncovering issues.

Optimal GCP pentesting methodology is designed to identify and exploit misconfigurations, weak identity access management (IAM ) policies, and architectural exposures across GCP environments. Testing spans reconnaissance, identity compromise, application layer abuse, and lateral movement using native GCP features and APIs.

Some guidelines to follow are below.

Recognize and uphold your responsibilities


The shared responsibility model is the foundational principle for all cloud penetration testing. You are responsible for securing your specific cloud resources—not the underlying infrastructure. That’s Google’s domain.

A pentest should only focus on your configurations, data, and applications. Cleaning up your side of the model includes:

  • IAM: Finding overly permissive roles, misconfigured service accounts, and privilege escalation paths.
  • Data and application security: Checking for exposed storage buckets, insecure APIs, or vulnerabilities in your deployed applications.
  • Configuration management: Identifying misconfigurations in services like Cloud Functions, Compute Engine, or Kubernetes Engine.

Conduct attacker simulation and objective-based testing


Instead of a simple checklist, modern GCP pentests simulate the tactics of a real-world attacker. This approach goes beyond automated scans to find complex, chained vulnerabilities that human attackers look to exploit. Tests are often objective-focused, with a specific goal. Common objectives include:

  • Privilege escalation: Can a low-privileged user or a compromised service account gain administrative access?
  • Data exfiltration: Can a simulated attacker steal sensitive data from a private cloud storage bucket
  • Lateral movement: Can an attacker move from one compromised resource to another (e.g., from a web application to a database)?

Focus on cloud-native attack vectors


Cloud environments introduce new types of vulnerabilities that don't exist in traditional on-premise networks. Key areas of focus for GCP pentesting include:

  • IAM abuse: Exploiting a misconfigured IAM policy to gain unintended access. This is one of the most common and critical findings.
  • Service account compromise: Stealing a service account key or token and using its permissions to access other services.
  • API misconfigurations: Identifying insecurely configured APIs that lack proper authentication or rate limiting.
  • Metadata service exploitation: Abusing the instance metadata service to steal credentials or other sensitive information.

Provide post-exploitation and remediation guidance to engineering teams


A good penetration test doesn't stop at finding vulnerabilities—it provides a clear roadmap for fixing them. Detailed reporting helps organizations understand not just what's wrong, but how to correct it and improve their overall security posture.

The final report should detail the findings and include:

  • Risk ratings: Prioritizing vulnerabilities based on their severity and potential impact.
  • Attack narratives: A step-by-step walkthrough of how the vulnerability was exploited.
  • Actionable remediation: Specific, practical recommendations on how to fix each finding.

Secure your Google Cloud setup with Cobalt GCP Pentesting 

Conducting regular, comprehensive GCP pentesting is essential to maintaining cloud infrastructure security and data privacy within your specific GCP setup. A systematic approach that follows best practices and methodologies within Google’s shared responsibility framework will help you safeguard sensitive information, meet regulatory obligations, and improve your security posture.

Cloud security services by Cobalt gives you access to a team of 450+ pentesting experts, with a wide range of hands-on experience and specialized knowledge. Start testing quickly with our user-friendly platform and achieve measurable risk reduction—faster and at lower cost than traditional pentesting. To discuss your cloud security needs and learn more about how we can help secure your GCP cloud infrastructure with comprehensive pentesting, contact us today.