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Validating Unauthorized eBPF Program Loading in Cilium-Based Linux Networks Through Program Identity Verification and Runtime Security Monitoring

Description

Cilium is an open-source networking, security, and observability platform that uses eBPF inside the Linux kernel to implement networking and security functionality. Cilium's datapath uses eBPF programs at networking hooks such as XDP, traffic-control, and socket-related hooks.

Because eBPF programs execute inside the Linux kernel, unauthorized program loading on a Cilium-managed node can introduce security risk if an attacker obtains sufficient privileges to load or attach an additional eBPF program. The Linux bpf() system call provides the BPF_PROG_LOAD operation for verifying and loading eBPF programs into the kernel.

In this use case, a controlled Cilium-based Kubernetes network is deployed on Ubuntu Linux inside an isolated VirtualBox laboratory. Cilium provides the eBPF-based networking layer, while a controlled test workload is used to generate normal network activity.

A trusted inventory of expected eBPF programs is established from the Cilium-managed node. Program identity information such as BPF program ID, program type, tag, load timestamp, UID, attachment information, and associated metadata is collected using bpftool. Cilium documentation identifies bpftool as the primary tool for BPF program introspection and shows that loaded programs can be inspected through their system-wide program IDs and tags.

A controlled unauthorized eBPF program is then introduced into the laboratory node. The test program is deliberately separate from the legitimate Cilium program inventory and is used only to validate the detection workflow.

The security layer compares the observed eBPF program identity against the approved program inventory. When an unexpected program is detected, the event is classified as an unauthorized eBPF loading event and is forwarded to the runtime-security monitoring workflow.

Hubble provides visibility into the network behavior of Cilium-managed workloads. Hubble is built on Cilium and eBPF and provides visibility into service communication, network behavior, and security events.

The workflow combines program identity verification, trusted eBPF inventory, attachment verification, runtime monitoring, Cilium/Hubble network observability, security-event correlation, and unauthorized-program response.

The purpose is not to replace Cilium's legitimate eBPF programs, but to distinguish expected Cilium-managed programs from independently introduced eBPF programs and validate the security response when an unexpected program appears.

Complete Emerging Technology Security Workflow : Cilium-Based Linux Network → Trusted eBPF Program Inventory → Program Identity Collection → Identity Verification → Runtime eBPF Monitoring → Unauthorized Program Detection → Cilium/Hubble Behavioral Monitoring → Security Event Correlation → Unauthorized Program Response → Evidence Validation

Existing Security Problem

Application: Cilium-Based Kubernetes Network Using Linux eBPF Datapath

Cilium uses eBPF programs to implement networking and security functionality inside the Linux kernel. These programs are attached to kernel networking hooks and are part of the Cilium datapath. Cilium's eBPF programs can therefore be observed and inspected using Linux BPF tooling. bpftool can enumerate loaded programs, identify their program IDs and tags, and provide additional metadata about individual programs.

Existing Problem:

If an attacker gains sufficient privileges on a Cilium-managed Linux node, the attacker may attempt to load or attach an additional eBPF program that is not part of the approved Cilium program inventory.

The security problem is therefore:

Cilium-Managed Linux Node → Legitimate Cilium eBPF Programs → Unauthorized Privileged Activity → Additional eBPF Program Loading → Unexpected BPF Program Identity → Unauthorized Kernel-Level Program Presence → Potential Network / Runtime Behavior Change → Insufficient Program-Level Monitoring → Security Detection Gap

The proposed security mechanism establishes a trusted identity inventory for expected eBPF programs and continuously compares observed runtime programs against that inventory. Unexpected program identities are then correlated with runtime and network telemetry before the security event is investigated and contained.

Attack

Specific Attack: Unauthorized eBPF Program Loading on a Cilium-Managed Linux Node

The attack consists of introducing a controlled eBPF program into a Linux node where Cilium is already operating its legitimate eBPF datapath. The attacker model assumes that the unauthorized actor has obtained the privileges required to interact with the Linux BPF subsystem. The Linux kernel provides BPF_PROG_LOAD for loading eBPF programs, while BPF objects can also remain active through attachments or pinned references. In the laboratory, a separate eBPF program is compiled and loaded independently from the Cilium-managed program set. The test program is given a distinctive identity so that the monitoring workflow can distinguish it from legitimate Cilium programs. The attack does not attempt to exploit a Cilium vulnerability or compromise a production Kubernetes cluster. It validates whether an independently loaded eBPF program can be identified through program identity inspection and runtime monitoring. After the test program is loaded, bpftool is used to enumerate active eBPF programs and compare the observed program identities against the approved baseline. Hubble is then used to observe controlled network behavior generated by the Cilium-managed workloads so that runtime security evidence can be correlated with network activity. Hubble provides flow visibility with identity and label information for Cilium-managed workloads.

Attack Behavior:
Attacker / Unauthorized Privileged Process
→
Controlled eBPF Program Preparation
→
Unauthorized eBPF Program Load Request
→
Linux BPF Subsystem
→
Program Loaded into Kernel
→
Unexpected BPF Program ID / Tag
→
Program Identity Comparison
→
Unauthorized Identity Detected
→
Runtime Security Event Generated
→
Network / Runtime Behavior Monitored
→
Cilium + Hubble Evidence Correlated
→
Security Response

Security Concept

eBPF Program Identity Verification and Runtime Security Monitoring:

eBPF program identity verification establishes a trusted baseline of the programs expected to exist on a Cilium-managed Linux node.

The baseline records program attributes such as program ID, type, tag, UID, load time, attachment information, and other available metadata. bpftool prog provides system-wide visibility into loaded BPF programs and supports detailed inspection using program IDs. The identity-verification mechanism compares the observed runtime program inventory against the approved Cilium program inventory. An unexpected program ID alone is not permanently trusted because program IDs are runtime identifiers. Therefore, the verification process also considers stable program attributes such as program type, tag, attachment location, ownership context, and expected Cilium association. Runtime security monitoring complements identity verification by observing whether unexpected eBPF programs appear during normal operation and whether related network behavior changes. Hubble provides Cilium-based network and security observability and can expose flow information for investigation and correlation.

The secure processing flow is:

Cilium Node
→
Expected eBPF Program Inventory
→
Program Metadata Collection
→
Program Identity Normalization
→
Trusted Identity Comparison
→
Unexpected Program Detection
→
Runtime Security Event Generation
→
Hubble Network-Behavior Observation
→
Security Event Correlation
→
Unauthorized Program Investigation
→
Containment / Removal
→
Post-Remediation Validation

Defensive Mechanism

Trusted eBPF Program Inventory

The legitimate eBPF programs expected from the Cilium deployment are recorded as the approved runtime baseline.

Purpose

Establishes the expected eBPF program state against which runtime programs can be compared.

Program Identity Verification

Observed eBPF programs are inspected using program identifiers, tags, types, UIDs, load times, and available metadata.

Purpose

Identifies eBPF programs that do not correspond to the approved runtime identity set.

Program Tag Verification

BPF program tags exposed through bpftool are compared with the trusted program records.

Purpose

Provides an additional program-level attribute for distinguishing expected and unexpected eBPF programs.

Attachment Verification

The attachment location and program type are compared against the expected Cilium datapath configuration.

Purpose

Detects programs attached to unexpected networking or kernel hooks.

Runtime eBPF Monitoring

The active eBPF program inventory is periodically collected and compared against the approved baseline.

Purpose

Detects unauthorized programs introduced after the initial Cilium deployment.

Cilium Datapath Validation

The expected Cilium eBPF programs and their operational state are reviewed after a detected anomaly.

Purpose

Distinguishes legitimate Cilium datapath changes from independently introduced eBPF programs.

Hubble Network Observability

Hubble is used to monitor Cilium-managed network behavior and investigate flow activity associated with the security event.

Purpose

Provides runtime network evidence for correlating suspicious eBPF activity with observed workload behavior.

Security Event Correlation

Program identity changes, system events, Cilium state, and Hubble observations are correlated using timestamps and node information.

Purpose

Builds a complete investigation timeline for unauthorized eBPF activity.

Unauthorized Program Containment

A detected unauthorized laboratory program is identified for controlled removal according to the predefined response procedure.

Purpose

Prevents an unapproved eBPF program from remaining active after detection.

Post-Remediation Validation

The active eBPF inventory is re-scanned after the controlled response.

Purpose

Confirms that the unauthorized program has been removed and the expected Cilium program state has been restored.

Security Tools

Container Networking and Security Platform: Cilium

Cilium provides the controlled Kubernetes networking and security environment using eBPF-based datapath functionality. Cilium uses eBPF programs at Linux networking hooks to implement its datapath.

Purpose
  • Provide the eBPF-based networking environment.
  • Manage legitimate Cilium eBPF programs.
  • Provide Kubernetes network security.
  • Provide the runtime environment for the controlled assessment.
  • Support eBPF program-state validation.

Network Observability Platform: Hubble

Hubble provides network and security observability on top of Cilium and eBPF. It provides visibility into service communication and network behavior.

Purpose
  • Monitor Cilium network flows.
  • Observe workload communication.
  • Provide security observability.
  • Correlate runtime behavior.
  • Support investigation of detected events.

BPF Introspection Tool: bpftool

bpftool is the primary BPF introspection and debugging tool used to enumerate loaded programs and inspect their metadata.

Purpose
  • Enumerate active eBPF programs.
  • Collect BPF program IDs.
  • Collect program tags and types.
  • Inspect program metadata.
  • Compare runtime programs against the trusted inventory.

Kernel BPF Interface: Linux BPF Subsystem

The Linux BPF subsystem provides the kernel interface through which eBPF programs are verified and loaded. The BPF_PROG_LOAD operation is responsible for verifying and loading an eBPF program.

Purpose
  • Provide the eBPF program-loading interface.
  • Support controlled program-loading tests.
  • Provide kernel-level program execution.
  • Validate unauthorized-loading detection.

eBPF Development Toolchain: LLVM / Clang

LLVM and Clang are used to compile the controlled eBPF test program into an object file.

Purpose
  • Compile laboratory eBPF programs.
  • Generate controlled BPF object files.
  • Create trusted test artifacts.
  • Create unauthorized test artifacts.
  • Support repeatable eBPF security testing.

BPF Library: libbpf

libbpf provides the userspace library used for interacting with eBPF objects and loading BPF programs. Cilium documentation identifies libbpf as part of the Linux kernel BPF tooling ecosystem.

Purpose
  • Support controlled BPF program loading.
  • Interact with BPF objects.
  • Support eBPF application development.
  • Provide controlled loading functionality.
  • Support runtime testing.

Runtime Monitoring Tool: auditd

Linux audit logging is used to capture relevant privileged system activity associated with the controlled eBPF-loading workflow.

Purpose
  • Monitor privileged security activity.
  • Record relevant system events.
  • Provide timestamps for investigation.
  • Support event correlation.
  • Provide host-level evidence.

Security Monitoring Platform: Wazuh

Wazuh collects and analyzes relevant Linux, Cilium, and security-monitoring events generated during the controlled assessment.

Purpose
  • Collect security telemetry.
  • Monitor Linux activity.
  • Generate security alerts.
  • Correlate relevant events.
  • Support post-detection monitoring.

Security Investigation Platform: OpenSearch

OpenSearch provides centralized analysis of the collected eBPF, Linux, Cilium, and Hubble security evidence.

Purpose
  • Search security events.
  • Correlate timestamps.
  • Investigate unauthorized eBPF activity.
  • Build an event timeline.
  • Preserve investigation evidence.

Operating System: Ubuntu Linux

Ubuntu provides the controlled Linux environment hosting the Kubernetes and Cilium laboratory.

Purpose
  • Host the Cilium environment.
  • Provide the Linux kernel.
  • Execute eBPF programs.
  • Store security evidence.
  • Support runtime monitoring.

Security Testing Platform: Kali Linux

Kali Linux provides the controlled security-testing environment used to prepare and validate the unauthorized eBPF loading scenario.

Purpose
  • Prepare controlled test artifacts.
  • Perform authorized security testing.
  • Transfer laboratory test files.
  • Validate detection controls.
  • Collect testing evidence.

Virtualization Platform: VirtualBox

VirtualBox provides the isolated laboratory infrastructure for the Ubuntu and Kali Linux virtual machines.

Purpose
  • Isolate the testing environment.
  • Host the Kubernetes/Cilium laboratory.
  • Host the security-testing platform.
  • Provide controlled networking.
  • Support repeatable security validation.

Process

STEP 01

Step 1: Prepare the Virtualized Emerging-Technology Security Laboratory

  • Create the Ubuntu virtual machine for the Cilium-based Linux environment.
  • Prepare the Kali Linux virtual machine for controlled security testing.
  • Allocate CPU, memory, storage, and network resources for the laboratory.
  • Configure controlled communication between the virtual machines.
  • Verify that the laboratory is isolated from production systems.
Tools: VirtualBox + Ubuntu + Kali Linux
STEP 02

Step 2: Prepare the Ubuntu Linux Environment

  • Verify the Ubuntu operating-system configuration.
  • Verify the Linux kernel version and architecture.
  • Verify the required networking interfaces.
  • Install required Kubernetes, container, and eBPF tooling.
  • Confirm that the Linux environment supports the required Cilium deployment.
Tools: Ubuntu + Linux Kernel + Kubernetes
STEP 03

Step 3: Deploy the Controlled Kubernetes Environment

  • Initialize the controlled Kubernetes cluster.
  • Configure the laboratory node networking.
  • Verify Kubernetes node availability.
  • Deploy a controlled test workload.
  • Confirm normal pod-to-pod network communication.
Tools: Kubernetes + Ubuntu
STEP 04

Step 4: Deploy Cilium as the Network Security Platform

  • Install Cilium into the controlled Kubernetes cluster.
  • Verify that the Cilium agent is running on the laboratory node.
  • Confirm that Cilium's eBPF datapath is operational.
  • Verify the Cilium node status.
  • Confirm normal workload connectivity through Cilium.
Tools: Cilium + Kubernetes + Ubuntu
STEP 05

Step 5: Enable Hubble Runtime Network Observability

  • Enable Hubble observability for the Cilium deployment.
  • Deploy Hubble Relay where cluster-wide visibility is required.
  • Install or prepare the Hubble CLI.
  • Verify Hubble API connectivity.
  • Generate normal test traffic and confirm that Hubble observes the flows.
Tools: Hubble + Cilium + Kubernetes
STEP 06

Step 6: Establish the Legitimate eBPF Program Baseline

  • Enumerate the active eBPF programs on the Cilium-managed node.
  • Record the program IDs reported by bpftool.
  • Record program types, tags, UIDs, and load timestamps.
  • Record the expected attachment locations where available.
  • Associate the observed programs with the legitimate Cilium datapath.
Tools: bpftool + Cilium + Ubuntu
STEP 07

Step 7: Create the Trusted Program Identity Registry

  • Normalize the collected eBPF program metadata.
  • Store the approved program identity information.
  • Record program type and expected attachment information.
  • Record program tags and Cilium association.
  • Protect the baseline from unauthorized modification.
Tools: Python + bpftool + Ubuntu
STEP 08

Step 8: Establish Normal Runtime Monitoring

  • Schedule periodic eBPF program inventory collection.
  • Compare the current program inventory with the trusted baseline.
  • Record expected program additions and removals.
  • Monitor Cilium agent state during normal operation.
  • Confirm that legitimate Cilium runtime changes are not incorrectly classified as unauthorized activity.
Tools: Python + bpftool + Cilium
STEP 09

Step 9: Generate the Controlled Unauthorized eBPF Program

  • Create a small laboratory eBPF program for the controlled test.
  • Compile the program into a BPF object file.
  • Assign a distinguishable test-program identity.
  • Ensure that the program is not part of the legitimate Cilium deployment.
  • Restrict the test to the isolated laboratory environment.
Tools: C + LLVM/Clang + libbpf
STEP 10

Step 10: Establish the Unauthorized Program Loading Scenario

  • Transfer the controlled eBPF object into the laboratory node.
  • Execute the authorized test workflow that requests eBPF program loading.
  • Record the loading time and originating process.
  • Verify that the controlled program appears in the kernel BPF inventory.
  • Preserve the pre- and post-loading program inventories.
Tools: libbpf + Linux BPF + bpftool
STEP 11

Step 11: Detect the New eBPF Program Identity

  • Run the eBPF inventory collection after the controlled load.
  • Compare the new program against the trusted registry.
  • Identify the unexpected program ID.
  • Compare the program type, tag, UID, and available metadata.
  • Generate an unauthorized-program detection event.
Tools: Python + bpftool
STEP 12

Step 12: Validate Program Attachment Information

  • Inspect the detected program's attachment information.
  • Determine whether the program is attached to an expected Cilium hook.
  • Compare its attachment against the approved Cilium datapath inventory.
  • Identify unexpected attachment locations.
  • Record the attachment-verification result.
Tools: bpftool + Cilium + Linux
STEP 13

Step 13: Correlate eBPF Detection with Cilium State

  • Check the Cilium agent status after the controlled program load.
  • Review the active Cilium eBPF program inventory.
  • Determine whether the detected program belongs to the Cilium deployment.
  • Compare the program's metadata against the trusted Cilium baseline.
  • Record the correlation decision.
Tools: Cilium CLI + bpftool + Kubernetes
STEP 14

Step 14: Monitor Network Behavior Through Hubble

  • Generate controlled application traffic through the Cilium-managed workloads.
  • Observe the resulting flows through Hubble.
  • Review source and destination workload identities.
  • Review security-relevant flow information.
  • Correlate the observed network behavior with the eBPF detection timestamp.
Tools: Hubble + Cilium + Kubernetes
STEP 15

Step 15: Monitor Host-Level Security Activity

  • Collect relevant Linux security events associated with the controlled loading activity.
  • Record timestamps and originating process information where available.
  • Correlate host events with the eBPF program inventory change.
  • Forward relevant security events to the monitoring layer.
  • Preserve the host-level evidence for investigation.
Tools: auditd + Ubuntu + Wazuh
STEP 16

Step 16: Correlate Security Evidence

  • Forward the eBPF detection event to the security-monitoring platform.
  • Correlate the event with Cilium state information.
  • Correlate the event with Hubble network observations.
  • Correlate the event with Linux audit activity.
  • Construct a complete unauthorized eBPF activity timeline.
Tools: Wazuh + OpenSearch + Hubble + Cilium
STEP 17

Step 17: Perform Controlled Unauthorized Program Response

  • Identify the unauthorized laboratory eBPF program from its runtime identity.
  • Confirm that the program is not required by the Cilium deployment.
  • Perform the predefined controlled removal procedure.
  • Verify that the unauthorized program is no longer active.
  • Record the remediation event.
Tools: bpftool + Cilium + Ubuntu
STEP 18

Step 18: Validate Cilium Runtime Integrity After Remediation

  • Re-enumerate all active eBPF programs.
  • Compare the current inventory with the trusted Cilium baseline.
  • Verify that expected Cilium programs remain active.
  • Confirm that the unauthorized test program has been removed.
  • Verify that normal Kubernetes network connectivity remains available.
Tools: bpftool + Cilium + Hubble + Kubernetes
STEP 19

Step 19: Perform Final Emerging-Technology Security Validation

  • Repeat the normal Cilium eBPF baseline collection.
  • Repeat the controlled unauthorized eBPF loading scenario.
  • Verify detection of the unexpected program identity.
  • Verify program type, tag, UID, and attachment validation.
  • Verify Cilium-state correlation.
  • Verify Hubble network-observability evidence.
  • Verify Linux host-security evidence.
  • Verify Wazuh alert generation.
  • Verify OpenSearch event correlation.
  • Verify controlled unauthorized-program removal.
  • Confirm that legitimate Cilium eBPF programs remain operational.
  • Preserve the complete detection, investigation, and remediation evidence.
Tools: Cilium + Hubble + bpftool + Linux BPF + auditd + Wazuh + OpenSearch + Kubernetes + Ubuntu + Kali Linux

Outcome

  1. The Cilium-based unauthorized eBPF program loading detection workflow is successfully established within the controlled emerging-technology security laboratory.
  2. A trusted baseline of legitimate Cilium eBPF programs is established using program IDs, tags, types, ownership information, attachment information, and available runtime metadata.
  3. A controlled unauthorized eBPF program is introduced independently of the legitimate Cilium program set to validate the program-loading detection mechanism.
  4. The newly loaded program is identified through runtime BPF-program enumeration and comparison against the trusted eBPF program identity registry. bpftool provides the required program-level introspection capability for this validation.
  5. Program identity and attachment information are correlated with the expected Cilium datapath to distinguish legitimate Cilium-managed programs from independently introduced eBPF programs.
  6. Hubble provides network-observability evidence that can be correlated with the detected runtime event and provides visibility into Cilium-managed workload communication.
  7. Linux host-security telemetry provides additional evidence surrounding the controlled eBPF-loading activity, allowing the runtime program change to be correlated with the originating security event.
  8. Wazuh and OpenSearch provide centralized security monitoring and investigation of the eBPF identity change, Cilium state, Hubble observations, and host-level security evidence.
  9. The controlled unauthorized eBPF program is removed according to the predefined remediation procedure, and a post-remediation scan confirms that the expected Cilium eBPF program state has been restored.
  10. The final assessment demonstrates a repeatable emerging-technology security workflow for establishing trusted eBPF program identities, detecting unauthorized program loading, validating program attachments, monitoring Cilium runtime behavior, correlating Hubble and Linux security telemetry, and validating controlled remediation of unauthorized eBPF programs.
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