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Demonstrating Kubernetes API Server Unauthorized Access Against K3s Clusters Through Authentication-Control Testing and Privilege-Boundary Validation

Description

Modern containerized environments use Kubernetes API servers as the central control interface for managing workloads, services, configurations, namespaces, and cluster resources. K3s provides a lightweight Kubernetes distribution suitable for controlled laboratory deployments and security validation.

The Kubernetes API server is a security-sensitive control-plane component because authenticated requests can perform operations according to the permissions associated with the requesting identity. If authentication controls are incorrectly configured or an identity receives broader permissions than required, an unauthorized user may obtain access to Kubernetes resources beyond the intended security boundary.

In this use case, a controlled K3s Kubernetes cluster is deployed on Ubuntu Linux inside an isolated VirtualBox laboratory. A dedicated Kubernetes test identity is created with a deliberately restricted permission set, while a separate controlled security-testing identity is used to validate unauthorized-access conditions.

Kali Linux is used as the authorized penetration-testing platform. The testing focuses on the Kubernetes API server and evaluates whether unauthenticated requests are rejected, whether authenticated identities are correctly recognized, and whether identities are prevented from accessing resources outside their assigned namespace or permission boundary.

The penetration-testing workflow validates two related security controls: authentication control, which determines whether the Kubernetes API server requires and correctly validates an authorized identity before processing protected requests; and privilege-boundary control, which determines whether an authenticated identity can access only the Kubernetes resources permitted by its RBAC policy.

Kubernetes Role-Based Access Control (RBAC) is used to establish controlled permissions for laboratory identities. The test verifies whether namespace-scoped permissions remain within their intended boundary and whether unauthorized resource operations are rejected.

Kubernetes audit logging is enabled to provide evidence of API requests and authorization decisions. Wazuh monitors relevant K3s and Kubernetes security logs, while OpenSearch provides centralized investigation and correlation of authentication, authorization, and API activity.

The controlled penetration test is performed against the baseline configuration and then repeated after security controls are validated. The objective is to demonstrate that unauthorized API access is rejected, authorized operations remain functional, privilege boundaries are maintained, and security events can be investigated.

Complete Penetration Testing and Security Validation Workflow: K3s Kubernetes API Server → Authentication Request → Identity Validation → API Authorization → RBAC Evaluation → Unauthorized Access Attempt → Access Denial → Kubernetes Audit Logging → Wazuh Monitoring → OpenSearch Investigation → Security Validation → Remediation → Post-Remediation Testing.

Existing Security Problem

Application: K3s Kubernetes Cluster

K3s provides the controlled Kubernetes cluster environment for the penetration-testing exercise. The Kubernetes API server acts as the control-plane API through which authenticated clients interact with Kubernetes resources. Kubernetes RBAC determines which authenticated identities are permitted to perform specific operations against specific resources.

Existing Problem:

A Kubernetes API server can become exposed to unauthorized access when authentication requirements are weakened, credentials are improperly handled, or authenticated identities receive permissions beyond their intended role. An authenticated identity with excessive RBAC permissions may be able to read, create, modify, or delete resources outside its intended namespace or operational scope.

The security problem is therefore:

Kubernetes Client / Penetration Tester → Kubernetes API Server → Authentication Request → Identity Validation → Authenticated Identity → RBAC Authorization Evaluation → Requested Resource / Operation → Insufficient Privilege Boundary → Unauthorized API Access → Unauthorized Kubernetes Resource Operation

The proposed security-validation architecture verifies authentication requirements first and then validates the RBAC privilege boundary to ensure that authenticated identities cannot perform operations outside their assigned permissions.

Attack

Specific Attack: Kubernetes API Server Unauthorized Access

The controlled attack attempts to access the K3s Kubernetes API server using an unauthorized or insufficiently privileged laboratory identity. The penetration test evaluates multiple access conditions rather than relying on a single authentication failure. The controlled testing includes unauthenticated API requests, authentication using a laboratory identity with restricted permissions, attempts to access resources belonging to another namespace, and attempts to perform operations outside the identity’s assigned RBAC permissions. Successful authentication should not automatically provide unrestricted Kubernetes access. The authenticated identity must still satisfy the RBAC policy associated with the requested resource and operation.

Attack Behavior:
Kali Linux / Authorized Security Tester
→
Prepare Kubernetes API Request
→
Target Laboratory K3s API Server
→
Authentication Attempt
→
Authentication Validation
→
Authenticated / Rejected
→
RBAC Authorization Evaluation
→
Request Restricted by Role / Permission Boundary
→
Unauthorized Resource Access Attempt
→
API Access Denied
→
Kubernetes Audit Event Generated
→
Wazuh Monitoring
→
OpenSearch Investigation

Security Concept

Authentication Control and Kubernetes RBAC Privilege-Boundary Validation:

Kubernetes security separates the process of establishing who is making an API request from determining what that identity is allowed to do.

Authentication mechanisms establish the identity associated with an API request. Authorization then evaluates whether that authenticated identity has permission to perform the requested operation against the requested Kubernetes resource. For this use case, Kubernetes RBAC establishes the intended privilege boundary. A laboratory identity is given only the permissions required for its designated namespace and resource operations. The penetration test then attempts operations outside that boundary. A correctly enforced RBAC configuration should allow permitted operations while rejecting unauthorized operations. The security validation therefore focuses on both authentication and authorization rather than treating successful login as equivalent to full cluster access.

The secure processing flow is:

Kubernetes API Request
→
K3s Kubernetes API Server
→
Authentication Validation
→
Authenticated Identity
→
RBAC Authorization Evaluation
→
Namespace / Resource / Verb Evaluation
→
Permission Granted?
→
No → API Request Denied
→

Yes → Authorized Kubernetes Operation
→
Kubernetes Audit Event
→
Wazuh Monitoring
→
OpenSearch Investigation
→
Privilege-Boundary Validation
→
Post-Remediation Testing

Defensive Mechanism

Kubernetes API Authentication Enforcement

The K3s Kubernetes API server requires an authenticated identity for protected API operations.

Purpose

Prevent unauthenticated clients from directly performing protected Kubernetes API operations.

Controlled Kubernetes Identity

Dedicated laboratory identities are created for different security-validation roles.

Purpose

Establish separate authentication identities for controlled access testing.

Role-Based Access Control

Kubernetes RBAC is used to define permissions for laboratory identities.

Purpose

Restrict authenticated identities to explicitly authorized Kubernetes operations.

Namespace-Level Privilege Boundary

The controlled test identity is assigned permissions within a designated namespace.

Purpose

Prevent namespace-scoped identities from accessing unrelated Kubernetes namespaces.

Resource-Level Authorization

Permissions are limited to explicitly required Kubernetes resources.

Purpose

Prevent unnecessary access to sensitive Kubernetes objects.

Verb-Level Authorization

RBAC permissions specify the operations an identity may perform, such as get, list, watch, create, update, or delete.

Purpose

Prevent an identity from performing operations beyond its intended role.

Least-Privilege Role Design

Laboratory roles are configured with only the permissions required for the defined test function.

Purpose

Reduce the impact of credential compromise or unauthorized API use.

ClusterRole / Role Boundary Validation

Namespace-scoped Role permissions are distinguished from broader ClusterRole permissions during validation.

Purpose

Identify unintended cluster-wide privilege exposure.

Unauthorized API Request Rejection

API requests that fail authentication or authorization are rejected.

Purpose

Prevent unauthorized clients from performing protected Kubernetes operations.

Kubernetes Audit Logging

Relevant Kubernetes API activity is recorded through audit logging.

Purpose

Provide evidence of authentication, authorization, and resource-access activity.

Security Monitoring

Wazuh monitors relevant K3s and Kubernetes security events.

Purpose

Detect repeated unauthorized API access attempts and privilege-boundary violations.

Centralized Security Investigation

OpenSearch provides centralized analysis of Kubernetes API security events.

Purpose

Correlate API requests, identities, resources, authorization results, and timestamps.

Security Tools

Container Orchestration Platform: K3s

K3s provides the lightweight Kubernetes cluster used for the controlled security-validation environment.

Purpose
  • Host the laboratory Kubernetes cluster.
  • Provide the Kubernetes API server.
  • Manage laboratory workloads.
  • Implement Kubernetes RBAC.
  • Provide the target environment for API security validation.

Kubernetes API Server: K3s Kubernetes API

The K3s Kubernetes API server provides the control-plane API used by Kubernetes clients.

Purpose
  • Receive Kubernetes API requests.
  • Authenticate API clients.
  • Process authorization decisions.
  • Apply RBAC policies.
  • Return authorized or denied API responses.

Authorization Mechanism: Kubernetes RBAC

Kubernetes Role-Based Access Control defines permissions for laboratory identities.

Purpose
  • Assign permissions to identities.
  • Restrict resources.
  • Restrict API verbs.
  • Enforce namespace boundaries.
  • Validate least-privilege access.

Authentication Identity: Controlled Kubernetes Test Account

A dedicated laboratory identity is created for privilege-boundary testing.

Purpose
  • Represent a restricted Kubernetes user.
  • Authenticate to the API server.
  • Perform authorized laboratory operations.
  • Validate unauthorized operations.
  • Provide traceable security-test activity.

Kubernetes Client: kubectl

kubectl provides the standard command-line interface for interacting with the Kubernetes API.

Purpose
  • Authenticate to the K3s cluster.
  • Submit Kubernetes API requests.
  • Test permitted operations.
  • Test unauthorized operations.
  • Validate RBAC enforcement.

Penetration Testing Platform: Kali Linux

Kali Linux provides the authorized security-testing environment.

Purpose
  • Generate controlled Kubernetes API requests.
  • Test authentication behavior.
  • Test RBAC restrictions.
  • Validate namespace boundaries.
  • Perform post-remediation security testing.

Network Analysis Tool: Wireshark

Wireshark is used where appropriate to inspect controlled Kubernetes API network traffic.

Purpose
  • Observe laboratory API communication.
  • Verify connection behavior.
  • Support network-level evidence collection.
  • Correlate network activity with API events.

Security Monitoring Tool: Wazuh

Wazuh monitors the Ubuntu K3s environment and relevant Kubernetes security logs.

Purpose
  • Monitor Kubernetes audit activity.
  • Detect unauthorized API requests.
  • Monitor authentication failures.
  • Generate security alerts.
  • Support investigation.

Security Analytics Tool: OpenSearch

OpenSearch provides centralized investigation of Kubernetes API security events.

Purpose
  • Search Kubernetes audit events.
  • Correlate API activity.
  • Investigate authorization failures.
  • Review resource-access attempts.
  • Preserve the penetration-testing timeline.

Operating System: Ubuntu Linux

Ubuntu provides the controlled K3s cluster environment.

Purpose
  • Host K3s.
  • Run Kubernetes workloads.
  • Store audit and security logs.
  • Execute monitoring components.
  • Provide host-level telemetry.

Virtualization Platform: VirtualBox

VirtualBox provides the isolated penetration-testing laboratory.

Purpose
  • Host Ubuntu and Kali Linux.
  • Isolate Kubernetes testing.
  • Provide controlled networking.
  • Support repeatable security validation.
  • Prevent impact on external Kubernetes environments.

Process

STEP 01

Step 1: Prepare the Isolated Kubernetes Security Laboratory

  • Create the Ubuntu Linux virtual machine for the K3s cluster.
  • Prepare the Kali Linux penetration-testing virtual machine.
  • Configure isolated laboratory networking.
  • Assign controlled laboratory IP addresses.
  • Verify communication between the authorized testing systems.
  • Confirm that all Kubernetes API testing remains restricted to the laboratory.
Tools: VirtualBox + Ubuntu + Kali Linux
STEP 02

Step 2: Deploy the K3s Cluster

  • Install the approved K3s release on Ubuntu.
  • Start the K3s server.
  • Verify that the Kubernetes control plane becomes ready.
  • Verify that the Kubernetes node is available.
  • Record the deployed K3s and Kubernetes versions.
  • Preserve the initial cluster configuration as the testing baseline.
Tools: K3s + Ubuntu
STEP 03

Step 3: Verify Kubernetes API Server Availability

  • Verify that the K3s Kubernetes API server is running.
  • Identify the laboratory API endpoint.
  • Configure the authorized Kubernetes client.
  • Verify normal authenticated API communication.
  • Confirm that the API endpoint is reachable only from the intended laboratory network.
  • Record the baseline API-server configuration.
Tools: K3s Kubernetes API + kubectl + Ubuntu
STEP 04

Step 4: Create the Laboratory Namespaces

  • Create a namespace for the authorized test workload.
  • Create a separate namespace representing another protected workload.
  • Deploy synthetic Kubernetes resources in both namespaces.
  • Verify that the resources are isolated by namespace.
  • Record the namespace and resource configuration.
  • Ensure that all resources contain synthetic laboratory data.
Tools: Kubernetes + kubectl + K3s
STEP 05

Step 5: Create the Controlled Kubernetes Identity

  • Create the dedicated laboratory test identity.
  • Configure the identity for controlled API authentication.
  • Associate the identity with the intended laboratory role.
  • Verify successful authentication.
  • Record the identity configuration.
  • Ensure that no production credentials are used.
Tools: Kubernetes Identity + K3s + kubectl
STEP 06

Step 6: Establish the Initial API Access Baseline

  • Authenticate to the K3s API using the authorized laboratory identity.
  • Access the resources explicitly intended for the identity.
  • Record successful API operations.
  • Attempt access to a protected namespace as part of the baseline validation.
  • Record the authorization result.
  • Preserve the baseline API and audit evidence.
Tools: kubectl + K3s API Server + Kubernetes RBAC
STEP 07

Step 7: Define the Least-Privilege RBAC Role

  • Create a namespace-scoped Kubernetes Role.
  • Permit only the resources required for the laboratory workload.
  • Permit only the required API verbs.
  • Avoid unnecessary create, update, or delete permissions.
  • Associate the role with the controlled laboratory identity.
  • Record the intended privilege boundary.
Tools: Kubernetes RBAC + kubectl
STEP 08

Step 8: Create the Role Binding

  • Create a RoleBinding for the controlled identity.
  • Bind the identity to the intended namespace-scoped role.
  • Verify that the binding references the correct identity.
  • Verify that the binding references the correct namespace.
  • Confirm that no unintended ClusterRole binding exists.
  • Record the resulting authorization configuration.
Tools: Kubernetes RBAC + kubectl + K3s
STEP 09

Step 9: Validate Authorized Kubernetes Operations

  • Authenticate using the controlled laboratory identity.
  • Read an explicitly permitted resource.
  • List only the resources allowed by the role.
  • Verify that the permitted operations succeed.
  • Record successful API requests.
  • Confirm that the identity remains within its intended namespace.
Tools: kubectl + Kubernetes RBAC + K3s
STEP 10

Step 10: Enable Kubernetes API Audit Logging

  • Configure Kubernetes audit logging for the laboratory cluster.
  • Define the appropriate audit policy.
  • Configure the audit-log destination.
  • Restart or reload the required K3s configuration according to the deployment method.
  • Generate a controlled API request.
  • Verify that the request appears in the audit records.
Tools: K3s + Kubernetes Audit Logging + Ubuntu
STEP 11

Step 11: Configure Wazuh Security Monitoring

  • Configure Wazuh on the Ubuntu K3s environment.
  • Monitor Kubernetes audit logs.
  • Monitor relevant K3s service logs.
  • Detect authentication failures.
  • Detect authorization-denied API requests.
  • Verify that controlled test events generate monitoring data.
Tools: Wazuh + K3s + Ubuntu
STEP 12

Step 12: Configure OpenSearch Investigation

  • Forward relevant Wazuh security events to OpenSearch.
  • Create searches for Kubernetes authentication failures.
  • Create searches for authorization-denied events.
  • Search for the controlled test identity.
  • Search for protected namespace access attempts.
  • Verify that API activity can be correlated by timestamp.
Tools: Wazuh + OpenSearch + Kubernetes Audit Logs
STEP 13

Step 13: Establish the Privilege-Boundary Validation Baseline

  • Verify the resources the test identity is allowed to access.
  • Verify the resources the identity is not allowed to access.
  • Test permitted API verbs.
  • Test restricted API verbs.
  • Record the expected allow and deny results.
  • Preserve the authorization matrix for the penetration test.
Tools: kubectl + Kubernetes RBAC + K3s
STEP 14

Step 14: Generate the Controlled Unauthenticated API Access Test

  • Use Kali Linux as the authorized penetration-testing platform.
  • Prepare a request to the laboratory Kubernetes API server without valid authentication credentials.
  • Target a non-destructive API operation.
  • Submit the request only to the controlled K3s endpoint.
  • Record the returned authentication result.
  • Verify that no unauthorized resource operation is performed.
Tools: Kali Linux + kubectl / HTTP Client + K3s API Server
STEP 15

Step 15: Generate the Controlled Privilege-Boundary Test

  • Authenticate using the restricted laboratory identity.
  • Request access to a resource inside the permitted namespace.
  • Request access to an equivalent protected resource in another namespace.
  • Attempt a Kubernetes API verb that is not included in the assigned role.
  • Attempt access to a protected resource without modifying or deleting laboratory data.
  • Record each authorization result.
Tools: Kali Linux + kubectl + Kubernetes RBAC + K3s
STEP 16

Step 16: Validate Authentication and Authorization Enforcement

  • Verify that unauthenticated API requests are rejected.
  • Verify that authenticated requests are associated with the correct identity.
  • Verify that permitted operations succeed.
  • Verify that unauthorized namespace access is rejected.
  • Verify that unauthorized API verbs are rejected.
  • Verify that the protected Kubernetes resources remain unchanged.
Tools: K3s API Server + Kubernetes RBAC + kubectl
STEP 17

Step 17: Validate Audit and Security Monitoring Evidence

  • Review the Kubernetes audit events generated by the penetration test.
  • Identify the requesting identity.
  • Identify the requested Kubernetes resource.
  • Identify the requested API operation.
  • Identify the authorization result.
  • Verify that Wazuh detects the relevant security event.
  • Verify that OpenSearch contains the corresponding investigation record.
Tools: Kubernetes Audit Logs + Wazuh + OpenSearch
STEP 18

Step 18: Investigate and Remediate the Identified Access Condition

  • Review the authentication and authorization results.
  • Identify any privilege assignment that exceeds the intended laboratory role.
  • Review Role and RoleBinding configuration.
  • Remove unnecessary permissions where identified.
  • Verify that no unintended ClusterRole or ClusterRoleBinding provides broader access.
  • Repeat the controlled unauthorized-access test.
  • Confirm that the corrected privilege boundary is enforced.
Tools: Kubernetes RBAC + kubectl + Wazuh + OpenSearch + K3s
STEP 19

Step 19: Perform Final Kubernetes API Security Validation

  • Repeat the unauthenticated API-access test.
  • Verify that unauthenticated protected requests are rejected.
  • Repeat the authenticated authorized-operation test.
  • Verify that legitimate operations continue to function.
  • Repeat the unauthorized namespace-access test.
  • Verify that cross-namespace access remains denied.
  • Repeat the unauthorized API-verb test.
  • Verify that restricted operations remain denied.
  • Verify Kubernetes audit logging.
  • Verify Wazuh monitoring.
  • Verify OpenSearch investigation.
  • Verify that protected laboratory resources remain unchanged.
  • Preserve the final RBAC configuration and penetration-testing evidence.
Tools: K3s + Kubernetes API Server + Kubernetes RBAC + kubectl + Kali Linux + Wazuh + OpenSearch + Ubuntu

Outcome

  1. A controlled K3s Kubernetes cluster is successfully deployed on Ubuntu Linux within an isolated VirtualBox penetration-testing laboratory.
  2. The Kubernetes API server is configured as the controlled target for authentication and privilege-boundary security validation.
  3. Dedicated laboratory Kubernetes identities, namespaces, resources, Roles, and RoleBindings are established to create a measurable authorization boundary.
  4. A controlled Kubernetes API Server unauthorized-access scenario is reproduced using the authorized Kali Linux penetration-testing environment.
  5. Unauthenticated API requests are tested separately from authenticated requests, allowing the security validation to distinguish authentication enforcement from authorization enforcement.
  6. Kubernetes RBAC is used to restrict the laboratory test identity to explicitly permitted resources and API operations.
  7. Controlled cross-namespace and unauthorized-verb tests demonstrate whether the authenticated identity remains within its intended privilege boundary without modifying protected laboratory resources.
  8. Kubernetes audit logging, Wazuh monitoring, and OpenSearch investigation provide evidence of authentication failures, authorization-denied requests, requesting identities, targeted resources, and security-test timestamps.
  9. Post-remediation testing verifies that identified excessive permissions can be corrected while legitimate Kubernetes operations continue to function within the intended role.
  10. The complete K3s Kubernetes API unauthorized-access penetration-testing and security-validation workflow is demonstrated, covering K3s deployment, API-server validation, authentication testing, RBAC configuration, namespace isolation, privilege-boundary testing, unauthorized-access validation, audit logging, Wazuh monitoring, OpenSearch investigation, remediation, and final security validation.