Learn about cloud pen testing scope, AWS vs Azure vs GCP, shared responsibility limits, IAM misconfigurations, infrastructure-as-code security testing, and much more, through the Frequently Asked Questions (FAQs) below. Please schedule a consultation if you are looking for Penetration Testing for compliance or regulatory requirements or to comply with a global security standard..
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What does cloud penetration testing cover?
Summary: Cloud penetration testing covers the security of infrastructure, identity, network, storage, and application components deployed in cloud environments, requiring specialized knowledge of cloud-native services and shared responsibility models.
Cloud penetration testing covers: Identity and Access Management (IAM) policies (testing for over-permissive roles, unused credentials, and privilege escalation paths within cloud IAM), network security (evaluating security group rules, network access control lists, VPC configurations, and exposure of cloud resources to the internet), storage security (testing for publicly accessible S3 buckets, Azure Blob Storage containers, or GCP Cloud Storage buckets, and misconfigured access policies), compute security (assessing EC2 instances, Azure VMs, and GCP Compute Engine for unpatched vulnerabilities, exposed services, and metadata service access), serverless security (evaluating AWS Lambda, Azure Functions, and GCP Cloud Functions for injection, over-permissive execution roles, and insecure environment variables), container and Kubernetes security, secrets management (testing for hardcoded credentials in code, environment variables, and configuration files), and logging and monitoring gaps (assessing whether CloudTrail, Azure Monitor, or GCP Cloud Logging are enabled and adequately configured). Cloud penetration testing requires knowledge of cloud-provider-specific attack paths in addition to traditional network and application testing techniques.
What is the difference between AWS, Azure, and GCP penetration testing?
AWS (Amazon Web Services), Microsoft Azure, and Google Cloud Platform (GCP) each have distinct service architectures, IAM models, and security configurations that require platform-specific knowledge to test effectively. AWS penetration testing focuses heavily on IAM role misconfigurations, EC2 instance metadata service (IMDS) attacks, particularly SSRF attacks that exploit the IMDSv1 endpoint to steal EC2 instance role credentials, S3 bucket access policies, and Lambda function security. Azure penetration testing emphasizes Active Directory integration (Azure AD / Entra ID), service principal misconfigurations, Azure Resource Manager role assignments, Azure Key Vault access controls, and over-permissive Managed Identity assignments. GCP penetration testing focuses on service account key exposure, IAM binding misconfigurations, GCS bucket access controls, and metadata server access via SSRF. All three platforms prohibit certain testing activities under their acceptable use policies, particularly port scanning of other customers’ resources, and some activities require advance notification. Platform-specific knowledge is essential: a tester who specializes only in AWS may miss critical Azure-specific vulnerabilities in an Azure environment.
What are the shared responsibility limitations in cloud penetration testing?
The cloud shared responsibility model defines which security responsibilities belong to the cloud provider and which belong to the customer, and this model creates important limitations for penetration testing scope. Cloud providers (AWS, Azure, GCP) are responsible for the security of the cloud, the physical infrastructure, hypervisors, and underlying platform services, and these components are not available for customer penetration testing. Customers are responsible for security in the cloud, their own applications, data, IAM configurations, network settings, and operating system configurations, and these are fully within scope for penetration testing. This means a cloud penetration test cannot assess the security of AWS’s underlying hardware or the security of Azure’s hypervisor, but it can and should test the customer’s virtual machines, storage configurations, IAM policies, application code, and network security groups. Understanding the shared responsibility boundary is critical for accurate scope definition, it prevents wasted testing effort on infrastructure the customer doesn’t control and ensures coverage of everything the customer is responsible for securing.
Do cloud providers require prior authorization before pen testing their environments?
Cloud provider policies on penetration testing have evolved significantly and generally no longer require customers to submit advance notice for most standard penetration testing activities within their own accounts. AWS’s current policy permits penetration testing of customer-owned AWS resources, including EC2, RDS, CloudFront, API Gateway, Lambda, and Elastic Beanstalk, without advance authorization, subject to acceptable use policy restrictions (no DDoS simulation, no port flooding of other customers’ resources). Microsoft Azure similarly permits penetration testing of customer-owned resources without advance notification under their penetration testing rules of engagement, provided the testing does not violate Microsoft’s terms of service. GCP also permits customer-initiated penetration testing of GCP resources. However, activities that could affect other cloud customers, such as testing that generates large volumes of traffic, DDoS simulation, or testing infrastructure outside the customer’s own account, are prohibited under all major cloud providers’ acceptable use policies and may require advance notification or explicit approval.
What is a cloud misconfiguration and how is it tested?
A cloud misconfiguration is a security vulnerability caused by incorrect or insecure configuration of cloud services, resources, or access policies, representing the most common and consistently exploited class of cloud security vulnerabilities. According to the 2025 IBM Cost of a Data Breach Report, cloud misconfigurations remain among the top initial attack vectors for organizational breaches. Common cloud misconfigurations include publicly accessible storage buckets or containers containing sensitive data, overly permissive IAM roles that grant users or services more access than they need (violating the principle of least privilege), security groups with unrestricted inbound access (0.0.0.0/0) to sensitive ports, disabled or misconfigured logging and monitoring services, unencrypted storage volumes, unused or overly permissive service accounts, and publicly exposed administrative interfaces (SSH, RDP, database ports). Cloud misconfiguration testing is conducted using a combination of cloud-native audit tools (AWS Security Hub, Azure Security Center, GCP Security Command Center), specialized cloud security assessment tools (Prowler, ScoutSuite, CloudMapper), and manual review of IAM policies and resource configurations.
What is infrastructure-as-code (IaC) security testing?
Infrastructure-as-code (IaC) security testing is the process of analyzing infrastructure definition files, written in tools such as Terraform, AWS CloudFormation, Azure Resource Manager (ARM) templates, or Pulumi, for security misconfigurations, policy violations, and insecure defaults before the infrastructure is deployed. IaC security testing shifts security review to the left in the development lifecycle: rather than discovering that an S3 bucket is misconfigured after it has been deployed and potentially exposed, IaC security testing catches the misconfiguration in the code that defines the bucket, preventing the exposure from ever occurring. IaC security testing uses specialized tools such as Checkov, tfsec, Terrascan, and KICS (Keeping Infrastructure as Code Secure) to scan definition files against security benchmarks including CIS Benchmarks and cloud provider best practices. IaC security testing is a component of DevSecOps programs and is particularly important for organizations using GitOps workflows, where infrastructure changes are managed through code repositories and automated deployment pipelines.
What is an S3 bucket or cloud storage misconfiguration and why is it a common pen test finding?
An S3 bucket misconfiguration (or its equivalent in Azure Blob Storage or GCP Cloud Storage) is a security vulnerability in which cloud storage resources intended to be private are configured with public access permissions, allowing anyone on the internet to list, read, or in some cases write to the storage contents without authentication. S3 bucket misconfigurations are one of the most consistently identified findings in cloud penetration tests because AWS S3 buckets were public by default in older account configurations, the access policy options are complex and easy to misconfigure, developers frequently create buckets with public access for testing or content delivery purposes and fail to restrict them before deploying to production, and bucket names are often predictable (based on company name or application name), making them discoverable through brute-force enumeration. High-profile S3 misconfiguration breaches have exposed millions of records from organizations including Capital One in 2019 (106 million records) and numerous healthcare organizations. Penetration testers identify S3 misconfigurations using tools such as S3Scanner, cloud enumeration scripts, and manual review of bucket policies and ACLs.
What is IAM (Identity and Access Management) misconfiguration testing in cloud environments?
IAM (Identity and Access Management) misconfiguration testing in cloud environments evaluates whether users, roles, service accounts, and policies follow the principle of least privilege, granting only the minimum permissions necessary for each identity to perform its function. IAM misconfigurations are consistently ranked among the most critical cloud security risks because they provide attackers with the ability to escalate privileges, move laterally across cloud services, and access sensitive resources using legitimate cloud credentials rather than exploiting technical vulnerabilities. Common IAM misconfigurations include wildcard permissions (policies that grant * actions on * resources), overly permissive cross-account trust relationships, attached administrative policies to service accounts or roles used by applications, unused IAM users with active access keys, and IAM roles that allow privilege escalation through combinations of permissions (such as iam:AttachRolePolicy or iam:CreatePolicyVersion). In a penetration test, IAM testing involves reviewing all IAM policies, roles, and users against the principle of least privilege, attempting privilege escalation using discovered permissions combinations, and testing cross-account access boundaries. Tools such as Pacu (for AWS), Stormspotter (for Azure), and GCP IAM Recommender are used in cloud IAM penetration testing.
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