{"id":14687,"date":"2021-06-23T16:44:59","date_gmt":"2021-06-23T11:14:59","guid":{"rendered":"https:\/\/www.getastra.com\/blog\/?p=14687"},"modified":"2026-04-08T18:11:23","modified_gmt":"2026-04-08T12:41:23","slug":"cloud-penetration-testing","status":"publish","type":"post","link":"https:\/\/www.getastra.com\/blog\/cloud\/cloud-penetration-testing\/","title":{"rendered":"How to Perform Cloud Penetration Testing"},"content":{"rendered":"\n

Cloud environments have redefined the attack surface and, with them, the role of penetration testing. <\/p>\n\n\n\n

80% of organizations<\/a> have experienced at least one cloud security breach in the past year, with an average of 43 misconfigurations per account.<\/p>\n\n\n\n

What used to be a matter of scanning ports and identifying known exploits is now about understanding complex trust relationships, misconfigured identities, and services that rarely behave consistently.<\/p>\n\n\n\n

This guide breaks down how to approach cloud penetration testing with the depth and precision modern infrastructure demands.<\/p>\n\n\n\n

<\/span>Standard <\/strong><\/strong>vs. Cloud Penetration Testing <\/strong><\/span><\/h2>\n\n\n\n

Building on these challenges, cloud penetration testing takes a fundamentally different approach. Unlike traditional pentests that assume a fixed, on-premises infrastructure, cloud pentesting adapts to the cloud’s dynamic, API-driven nature and shared-responsibility model. It focuses specifically on testing what you control within your IaaS, PaaS, or SaaS stacks.<\/p>\n\n\n\n

The distinctions between cloud and traditional penetration testing come down to several key factors:<\/p>\n\n\n\n

\n\n\n\n\t\n\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t
Aspect<\/th>Cloud Penetration Testing<\/th>Standard Penetration Testing<\/th>\n<\/tr>\n<\/thead>\n
Scope<\/td>Tests ephemeral assets like EC2 instances, Lambda functions, Kubernetes pods, and managed services that spin up\/down dynamically<\/td>Targets relatively static servers, networks, and physical infra with predictable assets<\/td>\n<\/tr>\n
Multi-Environment<\/td>Spans multiple accounts, regions, and providers (AWS, Azure, GCP) with cross-cloud attack paths and trust relationships<\/td>Typically confined to a single data center or unified network perimeter<\/td>\n<\/tr>\n
Identity & Authorization<\/td>Focuses heavily on IAM roles, policies, temporary tokens (AWS STS), federated identity (OAuth\/OpenID Connect), and role-based access<\/td>Primarily tests network access controls, firewalls, and traditional authentication mechanisms<\/td>\n<\/tr>\n
Infrastructure Boundaries<\/td>Operates within a shared responsibility model. Tests only tenant-owned configs while respecting provider-managed infra<\/td>Assumes full control over entire infrastructure stack from hardware to application<\/td>\n<\/tr>\n
Elasticity & Ephemerality<\/td>Must account for auto-scaling, containers, and serverless functions that exist temporarily; vulnerabilities appear and disappear during testing<\/td>Tests persistent infrastructure where assets remain stable throughout engagement<\/td>\n<\/tr>\n
Infrastructure-as-Code<\/td>Audits Terraform templates, CloudFormation, CI\/CD pipelines, and provisioning APIs as part of attack surface<\/td>Focuses on running systems and deployed configurations rather than deployment automation<\/td>\n<\/tr>\n
Logging & Monitoring<\/td>Validates that CloudTrail, CloudWatch, Azure Monitor capture events from ephemeral workloads and serverless triggers<\/td>Tests local system logs and traditional SIEM integration on persistent infrastructure<\/td>\n<\/tr>\n
Vendor Dependencies<\/td>Accounts for shared risk from managed services, container registries, and DBaaS vulnerabilities that affect multiple tenants<\/td>Vendor risk limited to software\/hardware procurement and full control over implementation<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n\n\n\n\n

<\/span>Top Cloud Security Issues<\/strong> to Watch<\/strong><\/span><\/h2>\n\n\n\n
\"Most<\/figure>\n\n\n\n

<\/span>Cloud Penetration Testing Methodology<\/span><\/h2>\n\n\n\n

Here is the methodology to assess cloud security, from mapping assets and reviewing configurations to exploiting vulnerabilities, reporting risks, and verifying fixes. This stepwise process ensures cloud environments are tested against real-world attack scenarios across AWS, GCP, and Azure.<\/p>\n\n\n\n

Step 1: Inventory Mapping<\/h3>\n\n\n\n
\"Inventory
Inventory Management (Source: Amazon<\/a>)<\/em><\/figcaption><\/figure>\n\n\n\n

The initial crucial step for a cloud penetration test is Inventory Mapping. It means identifying and inventorying all the cloud-based assets in a target environment. You identify the complete attack surface, ensuring no crucial component is missed during testing.<\/p>\n\n\n\n

Begin by using reconnaissance tools to discover exposed services and assets. For AWS, leverage the AWS CLI combined with commands like aws ec2 describe-instances to enumerate EC2 instances, or aws s3 ls to list S3 buckets. <\/p>\n\n\n\n

Tools like Nmap can scan for open ports (e.g., nmap -sS -p- ), while Shodan helps find internet-facing cloud assets. <\/p>\n\n\n\n

CloudMapper generates visual network diagrams of your AWS infrastructure, making it easier to map relationships between services. <\/p>\n\n\n\n

As part of this step, catalog all segregated compute resources (EC2 instances, Lambda functions), storage resources (S3 buckets, EBS volumes), databases (RDS, DynamoDB), network components (VPCs, security groups), and IAM entities (users, roles, policies). <\/p>\n\n\n\n

Document API endpoints and integrate findings into a centralized asset inventory for continuous visibility.<\/p>\n\n\n\n

Step 2: Cloud Configuration Review<\/h3>\n\n\n\n

One of the most important parts of a cloud pentest methodology is identifying misconfigurations that can be exploited. This phase is called cloud configuration review. <\/p>\n\n\n\n

In this phase, you need to have excellent knowledge of all services used in the cloud infrastructure and best practices from each cloud provider<\/a>. Now, let us dissect this for the three largest cloud providers: AWS, GCP, and Azure.<\/p>\n\n\n\n

How to Pentest AWS Cloud<\/h4>\n\n\n\n
\"AWS<\/figure>\n\n\n\n

Penetration testing in the AWS Penetration Testing<\/a> Service means extensive scanning of each service and its configurations. Start by setting up AWS CLI with read-only credentials for reconnaissance. Use aws iam get-account-authorization-details<\/code> to extract all IAM policies and roles, then analyze them for overly permissive access.<\/p>\n\n\n\n

Tools to conduct testing:<\/strong><\/p>\n\n\n\n

S3Scanner<\/a>: A tool for finding and testing S3 buckets. Execute python3 s3scanner.py --threads 5 buckets.txt<\/code> to check for public read\/write access. In 2024, 1.48% of S3 buckets remained publicly accessible according to industry data, making this crucial.<\/p>\n\n\n\n

AWS CLI<\/a>: Official AWS command-line tool. Install via pip install awscli<\/code>, configure credentials, then enumerate resources across all regions using commands like aws ec2 describe-security-groups<\/code> to find open ports (0.0.0.0\/0) in security groups.<\/p>\n\n\n\n

Scout Suite<\/a> \u2013 Open-source multi-cloud security auditing tool. Run python scout.py aws<\/code> to generate HTML reports highlighting IAM misconfigurations, S3 bucket permissions, and CloudTrail settings. It checks against 400+ rules and outputs findings by severity.<\/p>\n\n\n\n

Pacu<\/a>: An open-source AWS exploitation framework. After installing, run run iam__enum_permissions<\/code> to enumerate IAM permissions, then run s3__download_bucket<\/code> to test data exfiltration. Pacu simulates real attacks like privilege escalation and EC2 impersonation. For example, Capital One’s 2019 breach could have been detected using Pacu to identify the misconfigured Web Application Firewall.<\/p>\n\n\n\n

CloudMapper<\/a> \u2013 A tool to generate network diagrams of AWS environments. Use python cloudmapper.py prepare --account myaccount<\/code> to collect data, then python cloudmapper.py webserver<\/code> to visualize VPC connections and identify network segmentation issues.<\/p>\n\n\n\n

How to Pentest GCP Cloud<\/h4>\n\n\n\n

GCP penetration testing<\/a> requires a thorough understanding of Google Cloud Services and their security models. Start by authenticating with service account credentials and use gcloud compute instances list<\/code> to enumerate resources. The process incorporates GCP-native tools and third-party solutions to find threats in the GCP cloud.<\/p>\n\n\n\n

Tools to use:<\/strong><\/p>\n\n\n\n

Forseti Security<\/a>: Open-source tool for GCP security monitoring. Deploy it to continuously scan for policy violations, unusual IAM changes, and firewall misconfigurations.<\/p>\n\n\n\n

GCP CLI<\/a> (gcloud): Official command-line tool. Run gcloud projects get-iam-policy [PROJECT_ID]<\/code> to audit IAM bindings and identify excessive permissions like “Editor” or “Owner” roles assigned broadly.<\/p>\n\n\n\n

G-Scout<\/a>: GCP security scanner that automatically audits configurations. Execute python gscout.py -p [PROJECT_ID]<\/code> to scan for exposed Cloud Storage buckets and overprivileged service accounts.<\/p>\n\n\n\n

GCPBucketBrute<\/a>: Google Storage bucket enumeration tool. Use it to brute-force common bucket naming patterns and identify publicly accessible storage with python3 gcpbucketbrute.py -k keywords.txt<\/code>.<\/p>\n\n\n\n

How to Pentest Azure Cloud<\/h4>\n\n\n\n
\"Azure<\/figure>\n\n\n\n

Azure penetration testing<\/a> is a security assessment targeting Microsoft Azure cloud services, including VMs, storage accounts, Virtual Networks, and Azure AD. Begin by authenticating with az login<\/code> and run az account list<\/code> to enumerate subscriptions and resources.<\/p>\n\n\n\n

Tools to use:<\/strong><\/p>\n\n\n\n

Stormspotter<\/a> \u2013 Creates attack graphs within Azure environments. After data collection via stormspotter.py<\/code>, analyze privilege escalation paths from Azure AD users to subscription-level permissions.<\/p>\n\n\n\n

Azure CLI<\/a> \u2013 Command-line tool to manage Azure resources. Use az vm list<\/code> to list all VMs and az network nsg rule list<\/code> to check network security group rules for overly permissive access (like allowing SSH from any source).<\/p>\n\n\n\n

Azucar<\/a> \u2013 Azure auditing tool that generates configuration reports. Run Get-AzucarReport<\/code> in PowerShell to analyze Azure AD roles, storage account encryption, and VM configurations.<\/p>\n\n\n\n

MicroBurst<\/a> \u2013 PowerShell-based scripts for Azure security assessment. Use Invoke-EnumerateAzureBlobs<\/code> to discover publicly accessible storage containers and Invoke-AzureRmVMBulkCMD<\/code> to execute commands across VMs.<\/p>\n\n\n\n

Step 3: VAPT ( Vulnerability Assessment and Penetration Testing )<\/h3>\n\n\n\n

In this stage of the cloud pentesting methodology, you need to find different types of vulnerabilities and attempt to exploit them to help the organization understand real risks. It combines automated scanning (as discussed in the previous step) with manual testing techniques to comprehensively assess the cloud environment’s security posture<\/a>.<\/p>\n\n\n\n

Begin with cloud-native and third-party tools that can perform automated vulnerability scanning. For instance, AWS Inspector automatically discovers EC2 instances and Lambda functions, continuously scanning them for CVE findings and network exposure risks.<\/p>\n\n\n\n

Major cloud providers offer their own security assessment services: <\/p>\n\n\n\n