Cloud Penetration Testing Across AWS, Azure, and GCP

A penetration test earns its value by finding the paths a real attacker would take. In the cloud, those paths run through identity and configuration far more often than through unpatched software.

What changes in the cloud

• Identity is the perimeter. Access is governed by IAM policies, roles, and keys. A stolen credential or an over-permissive role is the cloud equivalent of an open firewall.
• Configuration is the vulnerability. Public storage buckets, exposed management interfaces, and misconfigured services cause far more breaches than memory-corruption exploits.
• The control plane is the target. The provider APIs that create and modify resources are where an attacker escalates and moves, using legitimate calls that can blend into normal activity.

What a cloud pentest looks for

Rather than scanning for CVEs on hosts, a cloud test enumerates identities and permissions, hunts for exposed resources, maps trust relationships, and attempts to chain small weaknesses into meaningful compromise — such as reading data it should not, or escalating to administrative control.

A cloud penetration test answers a specific question: if an attacker obtained this one credential or reached this one exposed resource, how far could they get — and how would we know?

The methodology is cloud-native because the risk is cloud-native.

Before any testing begins, cloud pentesting requires careful scoping — because you do not own the infrastructure, and provider policies govern what you may test.

The shared responsibility boundary

The provider secures the underlying infrastructure and the isolation between tenants; you cannot test below your own boundary. What you can and should test is everything you configure and control: identities, permissions, configurations, applications, and data. Attempting to test the provider's infrastructure or other tenants is both out of scope and prohibited.

Provider rules of engagement

Each provider publishes policies on permitted testing. Many common tests against your own resources are allowed without prior approval, while certain activities — such as denial-of-service testing — remain restricted. A responsible test operates strictly within these published rules.

Defining useful scope

• Assume-breach scenarios — starting from a leaked key or a compromised low-privilege identity — often yield the most realistic findings.
• Target accounts and services should be agreed explicitly to avoid disrupting production.
• Data handling must be defined so that any sensitive data encountered is handled responsibly.

Cloud penetration testing is authorized, scoped, and bounded by the same shared responsibility model that governs cloud security itself. Testing outside those bounds is not thorough — it is a violation.

GuardsArm scopes cloud tests to maximize realistic insight while staying firmly within provider and legal boundaries.

Amazon Web Services centers on IAM, and most AWS attack paths run through it. A competent AWS test spends the majority of its effort in identity and configuration.

IAM and privilege escalation

• Enumerate identities and policies to find over-permissive users, roles, and groups.
• Hunt for privilege-escalation paths — well-documented patterns where a limited permission (such as the ability to modify a policy, pass a role, or update a function) can be chained to full administrative access.
• Examine role assumption and trust policies, which can allow lateral movement between accounts if misconfigured.

Common exposures

• Public or misconfigured S3 buckets exposing sensitive data.
• Overly permissive security groups exposing management ports.
• Leaked access keys in code, logs, or metadata.
• Instance metadata service abuse, where a server-side request flaw can retrieve credentials.

Detection testing

A strong test also evaluates whether the environment's logging — CloudTrail, GuardDuty, and related services — would actually detect the activity, closing the loop between offense and defense.

In AWS, the phrase to remember is "pass the role." The most impactful findings usually chain a modest IAM permission into control of the whole account.

Azure and Google Cloud share the cloud-native focus on identity and configuration, but each has a distinct model that shapes its attack paths.

Azure and Entra ID

Azure's identity is anchored in Microsoft Entra ID (formerly Azure AD), which bridges cloud and, often, on-premises Active Directory. Testing focuses on:

• Entra ID roles and permissions, including over-privileged applications and service principals.
• The relationship between Entra ID and Azure resource RBAC, where escalation paths often hide.
• Hybrid identity risks, where cloud compromise can reach on-premises directories, or vice versa.
• Exposed storage accounts, key vaults, and management interfaces.

Google Cloud and IAM

Google Cloud's resource hierarchy — organization, folders, projects — and its service-account model define its risk surface. Testing focuses on:

• Service-account impersonation and key abuse, a central escalation vector in GCP.
• IAM bindings across the resource hierarchy, where broad grants at a high level cascade downward.
• Over-privileged service accounts attached to compute workloads.
• Exposed storage buckets and misconfigured services.

The common thread

Across all three providers, the pattern repeats: enumerate identities, find excessive permissions, exploit trust relationships, and escalate through the control plane.

Each provider speaks a different dialect of identity, but the grammar of cloud attack is the same everywhere: find the identity that can do more than it should, and follow the trust.

A penetration test delivers value only if its findings drive change. Because cloud weaknesses are systemic — a permission pattern repeated across an environment — remediation is often about fixing a class of issue, not a single instance.

Structuring the findings

• Attack paths, not just issues. The most useful output shows how weaknesses chain together to reach a critical objective, so leadership understands real impact.
• Prioritized by exploitability and impact, so the team fixes the paths that actually matter first.
• Mapped to root causes — an over-permissive role pattern, a missing guardrail — so the fix prevents recurrence rather than patching one instance.

Common remediations

• Tighten IAM toward least privilege, removing standing administrative permissions.
• Close exposed storage and management interfaces.
• Introduce preventive guardrails — service control policies, organization policies, and admission controls — that make insecure configurations impossible rather than merely discouraged.
• Improve detection so the next real attacker is seen.

Validating the fix

Retesting confirms that remediation closed the paths without opening new ones.

The best cloud pentest finding is one that reveals a systemic pattern — because fixing the pattern secures dozens of resources at once, and preventing the pattern secures them permanently.

GuardsArm's penetration testing engagements are built to produce this kind of actionable, root-cause-oriented output.

A cloud environment changes constantly — new accounts, new services, new identities — so a point-in-time test is a snapshot that ages quickly. Mature organizations combine periodic deep testing with continuous validation.

Point-in-time versus continuous

• Periodic penetration tests provide deep, human-driven insight — creative attack chaining that automation misses — and satisfy compliance requirements.
• Continuous posture management watches for the misconfigurations and excessive permissions that tests find, catching them as they are introduced rather than months later.

Integrating with the pipeline

Because cloud infrastructure is defined in code, many of the weaknesses a pentest finds can be caught earlier by scanning infrastructure-as-code and enforcing policy in the deployment pipeline. Testing informs which policies to enforce.

Building a testing cadence

• Test after significant architecture changes, not only on a calendar.
• Prioritize assume-breach scenarios that reflect real attacker behavior.
• Feed findings into guardrails so the same weakness cannot return.

A single cloud pentest tells you where you stand today. A testing discipline — periodic depth plus continuous validation — keeps you standing as the environment evolves.

GuardsArm pairs deep, provider-specific penetration testing with guidance on the continuous controls that keep AWS, Azure, and GCP environments defensible between engagements.