How we work

Services

Industries

Success Stories

Blog

How we work

Services

Industries

Success Stories

Blog

Cloud Security VAPT: Methodology, Tools and Continuous Testing

Learn how Cloud VAPT secures AWS, Azure, and Google Cloud environments through vulnerability assessment and penetration testing.

VAPT testing illustration showing web apps, APIs, access control, security shield, bug detection, and vulnerability scanning.

Table of Contents

Share

<Summary/>

  • Tests IAM, storage, networks, workloads, and cloud configurations.

  • Combines automated scanning with manual penetration testing.

  • Identifies misconfigurations, exposed data, weak access, and security gaps.

  • Covers AWS, Azure, and Google Cloud environments.

  • Includes reporting, remediation guidance, and retesting.

Cloud VAPT (Vulnerability Assessment and Penetration Testing) is a two-phase security assessment of customer-controlled cloud resources. Cloud security VAPT combines automated scanning for known weaknesses with manual penetration testing that proves exploitability. The assessment covers Amazon Web Services (AWS), Microsoft Azure, and Google Cloud accounts inside a written, approved scope.

This guide covers the evaluated areas, the methodology, tools, common findings, and continuous testing.

Why Does Cloud VAPT Matter for Security Teams?

Cloud VAPT matters for security teams because customers own the security of everything they configure. Cloud providers secure the physical infrastructure underneath. Misconfigured identities, storage, and networks stay the customer's risk.

The shared responsibility model splits cloud security between provider and customer. AWS secures the cloud itself, while customers secure what they run in it. The AWS shared responsibility model names customer duties such as guest operating systems and security group configuration.

Azure follows the same split under Microsoft's shared responsibility guidance. Customers own their data, identities, and the cloud components they control in every deployment type.

Testing targets that customer-owned layer against 3 business goals:

  • Compliance evidence: Auditors and enterprise buyers request tested proof that cloud controls work.

  • Security baseline: A scheduled assessment sets a comparison point for cloud risk between review cycles.

  • Pre-launch assurance: Production-facing resources get validated before customers depend on them.

The goal changes the scope. The tested surface stays the same across all 3 goals.

What Does a Cloud VAPT Assessment Evaluate?

A cloud VAPT assessment evaluates identities, data stores, networks, workloads, and detection controls. Testing stays inside customer-controlled resources and written scope. Provider infrastructure stays out of scope.

The NIST cloud computing definition centers on shared, configurable networks, servers, storage, applications, and services. Configurable resources form the cloud attack surface, which breaks into 7 testing areas:

  • Identity and access management (IAM): Testing checks users, roles, policies, and privilege boundaries for excess access.

  • Storage and databases: Public buckets, open database endpoints, and disabled encryption expose stored data.

  • Network segmentation: Virtual networks, firewall rules, and gateways decide which resources the internet reaches.

  • Compute and API workloads: Patch levels and authentication get checked on virtual machines, application programming interface (API) gateways, and exposed services.

  • Containers: Cluster access, pod permissions, secrets, and image vulnerabilities define container risk.

  • Serverless functions: For each function, testing reviews the execution role, event triggers, and environment secrets.

  • Logging and posture controls: Audit logs and posture tools decide whether misuse and configuration drift get detected.

The 7 areas define where testing happens. Two phases define how testing happens inside each area.

What Are the Two Phases of Cloud VAPT?

The two phases of cloud VAPT are vulnerability assessment and penetration testing. Vulnerability assessment finds weaknesses at breadth. Penetration testing proves which weaknesses create real access.

Vulnerability Assessment

Vulnerability assessment is the automated and manual search for known weaknesses and insecure settings. Vulnerability assessment scans workloads, container images, and cloud configurations against known issues. The output lists missing patches, weak settings, and exposed services. Each scanner result stays a candidate until manual validation confirms the affected resource.

Configuration review needs authenticated, read-only access through the provider's APIs. External scanning from the internet misses settings that only those APIs reveal. A grey-box assessment gives testers credentials and partial system knowledge. The engagement runs as a grey-box assessment with an approved audit identity.

Penetration Testing

Penetration testing is controlled exploitation that proves whether weaknesses give an attacker real access. Penetration testing chains separate weaknesses into one verified attack path. A 3-step AWS path shows the method:

  1. A public web application on Amazon EC2 contains a server-side request forgery (SSRF) flaw.

  2. The SSRF request reaches Instance Metadata Service version 1 (IMDSv1) and returns temporary role credentials.

  3. The stolen role credentials read objects from a private Amazon S3 bucket.

A scanner reports these 3 weaknesses as 3 unrelated items. Penetration testing proves the chain reaches private data. Requiring Instance Metadata Service version 2 (IMDSv2) breaks step 2, which AWS documents as defense in depth against SSRF. Least-privilege role permissions break step 3.

Both phases run inside a fixed sequence of engagement stages.

How Does the Cloud VAPT Methodology Work?

The cloud VAPT methodology works through 8 stages, from written scope to verified retesting. Each stage produces evidence for the next stage. Provider testing rules decide which active tests stay permitted.

Which Standards Guide Cloud VAPT?

3 reference sources guide the methodology: provider testing policies, the CSA playbook, and CIS benchmarks.

  • Provider testing policies: AWS, Microsoft, and Google each publish rules for customer-run penetration tests.

  • CSA Cloud Penetration Testing Playbook: The Cloud Security Alliance (CSA) playbook defines a public cloud testing methodology for customer-controlled systems.

  • CIS Foundations Benchmarks: Configuration checks map to Center for Internet Security (CIS) benchmarks, which AWS Security Hub CSPM and Prowler both implement.

1. Define Scope and Authorization

Scope definition identifies approved accounts, subscriptions, projects, regions, and services. AWS permits testing without prior approval for listed services such as Amazon EC2, Amazon RDS, and AWS Lambda. Testing outside that list requires approval through AWS Support.

Microsoft no longer requires notification for Azure tests. Testers must follow the Microsoft Cloud Unified Penetration Testing Rules of Engagement. Google Cloud requires no notification for tests confined to the customer's own projects. Testers still abide by the Google Cloud Acceptable Use Policy and Terms of Service.

The scope record lists test identities, testing windows, excluded resources, and emergency contacts.

2. Map Cloud Assets

Asset mapping builds the inventory of every in-scope cloud resource. The inventory records 6 resource groups:

  • Accounts, subscriptions, and projects.

  • Virtual machines and managed compute.

  • Storage services and databases.

  • Virtual networks and public endpoints.

  • Container and serverless workloads.

  • Human identities and service identities.

The inventory keeps every finding mapped to an approved resource and owner.

3. Review Cloud Configuration

Configuration review compares deployed settings against the approved security design. Auditing tools pull settings for IAM policies, storage access, firewall rules, and logging. Each deviation gets checked against the matching CIS benchmark control.

4. Run Vulnerability Assessment

Vulnerability scanning checks compute instances, container images, and exposed services for known vulnerabilities. Scanner output stays a candidate list at this stage. Validation records the resource, exposure, configuration, and evidence for each confirmed item.

5. Validate Identity and Privilege Paths

Identity validation tests whether granted permissions match approved roles and workload needs. Access to AWS resources runs through AWS Identity and Access Management policies. Google Cloud binds principals to roles on resources through IAM allow policies. Testing checks excess permissions, role inheritance, service identities, and cross-account access. Each test uses authorized test identities only.

6. Exploit and Validate Attack Paths

Attack-path validation executes chains like the SSRF example above, one step at a time. Each verified step gets evidence before the next step runs. The test stops at the approved scope boundary. The report separates confirmed paths from theoretical possibilities.

7. Report Findings and Remediation

Reporting records each finding with its resource, evidence, severity, impact, and fix. Findings carry provider-specific identifiers such as AWS account IDs or Azure subscription IDs.

8. Verify Fixes Through Retesting

Retesting repeats the original validation after remediation. A storage finding closes when the same anonymous request fails. An IAM finding closes when the original privilege path stops working. The completed retest becomes closure evidence.

The 8 stages stay constant across providers. Tools accelerate stages 2 through 6.

Which Tools Are Used for Cloud VAPT?

Cloud VAPT uses 5 tool categories, from configuration auditors to exploitation frameworks. Each category covers a different methodology stage. No single tool completes a cloud security VAPT engagement.

The 5 tool categories map to distinct finding types:

Category

Example tools

What the category finds

Configuration auditing

Prowler, ScoutSuite, CloudFox

Misconfigurations, over-permissive IAM, and attack-path leads

Exploitation and emulation

Pacu, Stratus Red Team

Privilege escalation and post-exploitation paths

Container and Kubernetes scanning

Trivy, Kubescape

Image vulnerabilities, cluster misconfigurations, and exposed secrets

Infrastructure and web scanning

Nessus, Burp Suite

Unpatched hosts, open ports, and web or API flaws

Native posture services

AWS Security Hub CSPM, Microsoft Defender for Cloud, Google Security Command Center

Control failures and configuration drift

Each named tool has a distinct owner and job:

  • Prowler: Prowler is an open-source cloud security platform with 660+ AWS checks mapped to 50 compliance frameworks.

  • ScoutSuite: NCC Group's open-source auditor gathers configuration data through AWS, Azure, and Google Cloud APIs.

  • CloudFox: Bishop Fox built CloudFox to automate situational awareness during AWS, Azure, and Google Cloud penetration tests.

  • Pacu: Rhino Security Labs maintains Pacu, an exploitation framework for testing AWS environments.

  • Stratus Red Team: Datadog's Stratus Red Team emulates granular adversary techniques inside cloud environments.

  • Trivy: Aqua Security's Trivy finds vulnerabilities, misconfigurations, and secrets in containers, Kubernetes, and code repositories.

  • Kubescape: Kubescape is an open-source Kubernetes security platform that scans clusters and CI/CD (Continuous Integration/Continuous Delivery) pipelines.

  • Nessus: Tenable's Nessus scans hosts and networks for known vulnerabilities and missing patches.

  • Burp Suite: Security testers use Burp Suite to find web and API flaws such as SQL injection.

Tool choice follows the engagement goal. Compliance-driven reviews lean on configuration auditors and posture services, which map checks to named frameworks. Offensive validation adds exploitation frameworks, because auditors report settings, not reachable access.

<Caution/>

Common Pitfall:

A Prowler or Security Hub report is a configuration audit, not a penetration test. Neither report proves that an attacker reaches data through a flagged setting.

Tool support and control names differ by provider. The objectives under test do not.

How Does Cloud VAPT Differ Across AWS, Azure and Google Cloud?

Cloud VAPT uses the same security objectives across AWS, Azure, and Google Cloud. Platform resource names and testing policies differ. Testing maps each objective to the provider's native controls.

Security area

AWS

Microsoft Azure

Google Cloud

Testing policy

Permitted services list, no approval

Rules of Engagement, no notification

Own projects only, no notification

Identity

IAM

Microsoft Entra ID and Azure RBAC

Cloud IAM

Storage

Amazon S3

Azure Blob Storage

Cloud Storage

Compute

Amazon EC2

Azure Virtual Machines

Compute Engine

Network

VPC and security groups

Virtual Network and NSGs

VPC and firewall rules

Containers

Amazon EKS

Azure Kubernetes Service

Google Kubernetes Engine

Serverless

AWS Lambda

Azure Functions

Cloud Run functions

What Does AWS Cloud VAPT Cover?

AWS cloud VAPT tests customer-controlled AWS resources within the published testing policy. The permitted services list includes Amazon EC2, Amazon RDS, Amazon API Gateway, and AWS Lambda. Customers cannot test AWS infrastructure or AWS services themselves.

Identity testing covers IAM policies, roles, and privilege boundaries. Storage testing checks S3 bucket policies and Block Public Access settings. Network testing reviews Virtual Private Cloud (VPC) paths, security groups, and gateways. A security group rule with 0.0.0.0/0 opens that port to any IP address, per AWS VPC guidance.

<info/>

Practitioner Note:

Treat IAM permission paths as test cases. Policy review alone does not prove the effective access path.

What Does Azure Cloud VAPT Cover?

Azure cloud VAPT tests customer-owned Azure resources under Microsoft's Rules of Engagement. Identity testing covers Microsoft Entra ID accounts and Azure role-based access control (RBAC) assignments. Storage testing checks whether each account's AllowBlobPublicAccess property is set to false.

Network testing covers Virtual Network paths and Network Security Groups (NSGs), which filter inbound and outbound traffic. Container testing covers Azure Kubernetes Service (AKS) identities and Entra-based Kubernetes RBAC.

What Does Google Cloud VAPT Cover?

Google Cloud VAPT tests customer-controlled resources inside the approved project and organization scope. Identity testing flags basic roles, which Google advises against in production. Basic roles include thousands of permissions across all Google Cloud services.

Network testing reviews routes, firewall rules, and segmentation inside Virtual Private Cloud networks. Storage testing confirms public access prevention on Cloud Storage buckets. Google Kubernetes Engine (GKE) testing combines Google Cloud IAM with Kubernetes RBAC controls.

The provider changes resource names, not the weaknesses testers find.

What Are the Most Common Cloud VAPT Findings?

The most common cloud VAPT findings involve excess permissions, public exposure, and missing visibility. The 10 findings below appear on AWS, Azure, and Google Cloud alike. Validation decides whether each finding creates real access.

Finding

Cloud example

What validation proves

Over-permissive IAM policies

AWS policies with wildcard actions, Google Cloud basic roles

The identity performs actions beyond its approved role

Missing multi-factor authentication (MFA) on admins

Privileged console sign-in with a password only

Privileged access succeeds without a second factor

Public storage exposure

S3 bucket without Block Public Access, Blob container allowing anonymous reads

Protected objects download without credentials

Unencrypted databases

Amazon RDS instance created without encryption

Stored data sits unencrypted at rest

Open network rules

Security group allowing 0.0.0.0/0 on SSH port 22

The management port answers from the internet

Unpatched compute and images

Virtual machines or container images with known vulnerabilities

The vulnerable service version is reachable

Unauthenticated API routes

API gateway route without an authorizer

The backend answers anonymous requests

Over-permissive workload identities

Function or instance role with admin rights, IMDSv1 enabled

Workload credentials reach unrelated resources

Exposed secrets

Access keys in code, environment variables, or images

The recovered secret authenticates to a live service

Missing audit logging

No multi-Region CloudTrail trail, no Activity Log export

Test actions leave no audit record

An unencrypted Amazon RDS instance gains encryption only through an encrypted snapshot copy and restore. The restore creates a new DB instance, so the remediation plan includes cutover.

Severity follows reachability, not the setting alone. A public bucket holding no sensitive objects rates lower than a private bucket readable through a stolen role. Validation evidence sets the final severity for each finding.

These findings describe one assessment date. Cloud environments keep changing after that date.

What Is Continuous VAPT for Cloud Security?

Continuous VAPT for cloud security combines recurring manual validation with continuous posture monitoring. Posture tools detect configuration changes between manual assessments. Manual testing still proves attack paths and business impact.

Point-in-time assessments and continuous validation serve different functions:

Attribute

Point-in-Time Cloud VAPT

Continuous Cloud Security Validation

Execution

Scheduled assessment

Ongoing or recurring checks

Main focus

Deep validation and attack paths

Configuration drift and exposure

Human testing

Core activity

Targeted follow-up

Output

Assessment report

Ongoing findings

Retesting

After remediation

Rechecks after change

3 native services provide the continuous layer:

Continuous monitoring detects change faster than periodic assessment alone. Manual assessment still supplies controlled validation and attack-path evidence.

<Tips/>

Key Distinction:

Continuous posture monitoring detects drift. Manual testing proves whether a weakness creates an exploitable access path.

When Should Point-in-Time Cloud VAPT Run?

Point-in-time cloud VAPT runs when cloud exposure, privileges, architecture, or compliance scope changes materially. 6 triggers justify a new assessment:

  • Cloud migration: The assessment verifies new identity, storage, network, and compute controls.

  • Architecture change: New trust boundaries and service connections get validated before they carry traffic.

  • Identity redesign: Testing confirms that new roles, policies, and cross-account access match the approved design.

  • High-risk launch: Production-facing resources receive validation before customers depend on them.

  • Critical remediation: A targeted retest confirms fixes against the original findings.

  • Compliance cycle: Auditors receive a dated, repeatable comparison point from each scheduled assessment.

Each trigger produces a report. The report structure below keeps results comparable across triggers.

What Does a Cloud VAPT Report Include?

A cloud VAPT report includes 8 sections, from scope and evidence to retest status. Technical teams need resource-level evidence. Management needs a clear view of confirmed cloud exposure.

Report section

What it records

Scope

Accounts, subscriptions, projects, regions, services, and exclusions

Provider context

AWS, Azure, Google Cloud, or hybrid environment

Findings summary

Finding ID, severity, status, and affected resource

Technical evidence

Resource configuration, access path, and validation evidence

Business impact

Verified effect on data, access, or workload exposure

Remediation

Specific correction for the affected cloud control

Ownership

Infrastructure, platform, security, or application owner

Retest status

Verification result after remediation

Cloud reports follow the same finding structure as a standard VAPT report, plus provider resource identifiers. An illustrative storage finding shows the record format:

Field

Example value

Finding ID

CLD-07

Affected resource

S3 bucket in the production AWS account

Severity

High

Evidence

Anonymous GET request returned HTTP 200 for 2 test objects

Remediation

Enable S3 Block Public Access at the account level

Owner

Platform engineering team

Retest result

Anonymous GET request returned HTTP 403, finding closed

A retested report closes the technical loop. Preparation and provider selection decide how smoothly that loop runs.


How Do Teams Prepare to Commission Cloud VAPT?

Teams prepare to commission cloud VAPT by fixing scope, access, and evaluation criteria before testing starts. A checklist fixes what gets tested. Evaluation criteria fix who tests it and how.

What Should a Cloud VAPT Checklist Cover?

A cloud VAPT checklist covers the provider settings behind the most common findings. Each of the 6 checks names where to look on each platform:

Check

AWS

Azure

Google Cloud

Block public storage

S3 Block Public Access

AllowBlobPublicAccess set to false

Public access prevention enforced

Remove broad roles

IAM policies with wildcard actions

Owner role assignments

Basic roles (Owner, Editor, Viewer)

Restrict admin ports

Security groups open to 0.0.0.0/0

NSG rules allowing any source

VPC firewall rules from 0.0.0.0/0

Enforce MFA for admins

MFA on root and console users

Microsoft Entra Conditional Access

2-Step Verification in Cloud Identity

Scope workload identities

IMDSv2 and least-privilege instance roles

Managed identities with scoped roles

Service accounts with scoped roles

Enable audit logging

Multi-Region CloudTrail trail

Activity Log exported to a workspace

Cloud Audit Logs with Data Access logs

Each row needs a settings export or screenshot as evidence. Checklist gaps feed stage 3 of the methodology.

How Do Buyers Evaluate a Cloud VAPT Provider?

Buyers evaluate a cloud VAPT provider on access model, validation depth, reporting, and retesting. 7 checks separate full cloud security VAPT from repackaged scanning:

  1. Platform scope: Confirm which AWS, Azure, or Google Cloud services receive testing.

  2. Provider rules: Verify that the engagement follows each platform's published testing policy.

  3. Access model: Ask whether the provider runs authenticated configuration review or external scans only.

  4. Identity depth: Require manual validation of IAM roles, service identities, and privilege paths.

  5. Cloud-native coverage: Match tested storage, networking, containers, and serverless services to the deployed architecture.

  6. Report evidence: Inspect sample findings for resource identifiers, proof, impact, remediation, and ownership.

  7. Retesting terms: Insist that closure depends on repeating the original validation.

Closure evidence includes the retest report and, where contracts require one, a VAPT certificate. A certificate does not replace the detailed technical report.

FAQs

Is Cloud VAPT the Same as Cloud Penetration Testing?

Does Cloud VAPT Test the Cloud Provider's Infrastructure?

Is Cloud VAPT Better Than a SOC?

Who Performs Cloud VAPT?

How Many Types of VAPT Are There?

How Much Does Cloud VAPT Cost?

Does Cloud VAPT Replace Application Penetration Testing?

Why choose PerfectQA services

At PerfectQA, automation is not just about speed — it’s about assurance. We combine framework expertise, proactive analysis, and audit-driven reporting to deliver testing solutions that scale with your business

Expertise and Experience: 15+ years in automation and regression testing across multiple industries

Customised Frameworks: We adapt to your tech stack, not the other way around.

State-of-the-Art Tools: Selenium, Playwright, Cypress, and CI/CD integrations.

Proactive Support: Continuous improvement through audit and debugging

About PerfectQA

PerfectQA is a global QA and automation testing company helping businesses maintain flawless software performance through manual, automated, and hybrid testing frameworks

Our mission

Deliver precision, speed, and trust with every test cycle

Learn more about our solutions

Want flawless automation?

Schedule your free test strategy consultation today and see how PerfectQA can help you achieve continuous quality at scale

Published

Updated

Author

Rahul Sharma