agentsclimarketplace

Implementing ebpf security monitoring

Skill pinkpixel-dev/skills-collection-2/SKILLS/implementing-ebpf-security-monitoring

Part 2 of the AI and agent skills collection, with 650+ skill folders focused on reusable workflows, security playbooks, cloud implementation guides, scripts, references, and assets for builders and operators.

Install
npx -y skills add pinkpixel-dev/skills-collection-2 --skill implementing-ebpf-security-monitoring

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Implements eBPF-based security monitoring using Cilium Tetragon for real-time process execution tracking, network connection observability, file access auditing, and runtime enforcement. Covers TracingPolicy CRD authoring with kprobe/tracepoint hooks, in-kernel filtering via matchArgs/matchBinaries selectors, JSON event export, and integration with SIEM pipelines. Use when building kernel-level runtime security observability for Linux hosts or Kubernetes clusters.

The file declares its own license as Apache-2.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

9.0 KB, ~2.2k tokens by cl100k_base, as published. Nobody here has run it

Implementing eBPF Security Monitoring

When to Use

  • When deploying kernel-level runtime security monitoring on Linux hosts or Kubernetes clusters
  • When you need sub-millisecond visibility into process execution, network connections, and file access
  • When traditional userspace monitoring tools introduce unacceptable performance overhead
  • When building detection pipelines that require in-kernel filtering before events reach userspace
  • When enforcing runtime security policies (kill process, send signal) at the kernel level

Prerequisites

  • Linux kernel 5.3+ with BTF (BPF Type Format) support enabled
  • Kubernetes 1.24+ cluster (for Kubernetes deployment) or standalone Linux host
  • Helm 3.x installed (for Kubernetes deployment)
  • kubectl configured with cluster access
  • tetra CLI installed for local event streaming
  • Python 3.8+ with requests, kubernetes, pyyaml dependencies
  • Root or CAP_BPF/CAP_SYS_ADMIN capabilities for eBPF program loading

Instructions

1. Install Tetragon on Kubernetes

Deploy Tetragon via Helm to get default process lifecycle observability:

helm repo add cilium https://helm.cilium.io
helm repo update
helm install tetragon cilium/tetragon -n kube-system \
  --set tetragon.enableProcessCred=true \
  --set tetragon.enableProcessNs=true

Verify the installation:

kubectl get pods -n kube-system -l app.kubernetes.io/name=tetragon
kubectl logs -n kube-system -l app.kubernetes.io/name=tetragon -c export-stdout -f | head -20

2. Install Tetragon on Standalone Linux

For non-Kubernetes Linux hosts, install from the tarball release:

curl -LO https://github.com/cilium/tetragon/releases/latest/download/tetragon-linux-amd64.tar.gz
tar xzf tetragon-linux-amd64.tar.gz
sudo cp tetragon /usr/local/bin/
sudo cp tetra /usr/local/bin/

# Start tetragon daemon
sudo tetragon --btf /sys/kernel/btf/vmlinux &

# Stream events
tetra getevents -o compact

3. Monitor Process Execution (Default)

Tetragon generates process_exec and process_exit events by default without any TracingPolicy:

# Stream process events in compact format
tetra getevents -o compact

# Stream in JSON for SIEM ingestion
tetra getevents -o json | jq '.process_exec // .process_exit'

Example process_exec JSON event:

{
  "process_exec": {
    "process": {
      "binary": "/usr/bin/curl",
      "arguments": "https://malicious.example.com/payload",
      "cwd": "/tmp",
      "uid": 1000,
      "pod": {
        "namespace": "default",
        "name": "webapp-7b4d9f8c6-x2k9p"
      },
      "parent": {
        "binary": "/bin/bash",
        "pid": 1234
      }
    }
  }
}

4. Author TracingPolicy for File Access Monitoring

Create a TracingPolicy CRD to monitor access to sensitive files via the sys_openat kprobe:

# file-access-monitor.yaml
apiVersion: cilium.io/v1alpha1
kind: TracingPolicy
metadata:
  name: monitor-sensitive-file-access
spec:
  kprobes:
    - call: "fd_install"
      syscall: false
      args:
        - index: 0
          type: "int"
        - index: 1
          type: "file"
      selectors:
        - matchArgs:
            - index: 1
              operator: "Prefix"
              values:
                - "/etc/shadow"
                - "/etc/passwd"
                - "/etc/sudoers"
                - "/root/.ssh/"
                - "/etc/kubernetes/pki/"
          matchActions:
            - action: Post

Apply and observe:

kubectl apply -f file-access-monitor.yaml
tetra getevents -o compact --process-filter "event_set:PROCESS_KPROBE"

5. Author TracingPolicy for Network Connection Monitoring

Monitor outbound TCP connections using the tcp_connect kprobe:

# network-monitor.yaml
apiVersion: cilium.io/v1alpha1
kind: TracingPolicy
metadata:
  name: monitor-tcp-connections
spec:
  kprobes:
    - call: "tcp_connect"
      syscall: false
      args:
        - index: 0
          type: "sock"
      selectors:
        - matchActions:
            - action: Post

6. Author TracingPolicy for Privilege Escalation Detection

Detect setuid/setgid calls that may indicate privilege escalation:

# privilege-escalation-detect.yaml
apiVersion: cilium.io/v1alpha1
kind: TracingPolicy
metadata:
  name: detect-privilege-escalation
spec:
  kprobes:
    - call: "__sys_setuid"
      syscall: false
      args:
        - index: 0
          type: "int"
      selectors:
        - matchArgs:
            - index: 0
              operator: "Equal"
              values:
                - "0"
          matchActions:
            - action: Post
    - call: "commit_creds"
      syscall: false
      args:
        - index: 0
          type: "cred"
      selectors:
        - matchActions:
            - action: Post

7. Runtime Enforcement with Sigkill Action

Block unauthorized binary execution by killing the process in-kernel:

# enforce-binary-allowlist.yaml
apiVersion: cilium.io/v1alpha1
kind: TracingPolicy
metadata:
  name: enforce-no-crypto-miners
spec:
  kprobes:
    - call: "sys_execve"
      syscall: true
      args:
        - index: 0
          type: "string"
      selectors:
        - matchArgs:
            - index: 0
              operator: "Postfix"
              values:
                - "xmrig"
                - "minerd"
                - "cpuminer"
                - "cryptonight"
          matchActions:
            - action: Sigkill

8. Export Events to SIEM

Configure Tetragon to export JSON events to a file sink for Fluentd/Filebeat/Vector ingestion:

# Helm values for file export
helm upgrade tetragon cilium/tetragon -n kube-system \
  --set tetragon.exportFilename=/var/log/tetragon/tetragon.log \
  --set tetragon.exportFileMaxSizeMB=100 \
  --set tetragon.exportFileMaxBackups=5

Then configure your log shipper (e.g., Filebeat) to tail /var/log/tetragon/tetragon.log and send to your SIEM.

9. Kubernetes-Aware Namespace Filtering

Use TracingPolicyNamespaced to scope monitoring to specific namespaces:

apiVersion: cilium.io/v1alpha1
kind: TracingPolicyNamespaced
metadata:
  name: monitor-production-file-access
  namespace: production
spec:
  kprobes:
    - call: "fd_install"
      syscall: false
      args:
        - index: 0
          type: "int"
        - index: 1
          type: "file"
      selectors:
        - matchArgs:
            - index: 1
              operator: "Prefix"
              values:
                - "/etc/shadow"
                - "/etc/passwd"

Examples

Detect Reverse Shell Connections

# reverse-shell-detect.yaml
apiVersion: cilium.io/v1alpha1
kind: TracingPolicy
metadata:
  name: detect-reverse-shells
spec:
  kprobes:
    - call: "tcp_connect"
      syscall: false
      args:
        - index: 0
          type: "sock"
      selectors:
        - matchBinaries:
            - operator: "In"
              values:
                - "/bin/bash"
                - "/bin/sh"
                - "/usr/bin/python3"
                - "/usr/bin/perl"
                - "/usr/bin/nc"
                - "/usr/bin/ncat"
          matchActions:
            - action: Post

Monitor Container Escape Attempts

# container-escape-detect.yaml
apiVersion: cilium.io/v1alpha1
kind: TracingPolicy
metadata:
  name: detect-container-escape
spec:
  kprobes:
    - call: "sys_openat"
      syscall: true
      args:
        - index: 0
          type: "int"
        - index: 1
          type: "string"
      selectors:
        - matchArgs:
            - index: 1
              operator: "Prefix"
              values:
                - "/proc/1/root"
                - "/proc/1/ns"
                - "/sys/kernel/security"
                - "/proc/sysrq-trigger"
          matchActions:
            - action: Post
    - call: "sys_mount"
      syscall: true
      args:
        - index: 0
          type: "string"
        - index: 1
          type: "string"
        - index: 2
          type: "string"
      selectors:
        - matchActions:
            - action: Post

Full Event Pipeline: Tetragon to Elasticsearch

# Use tetra CLI to pipe events through jq into Elasticsearch
tetra getevents -o json | jq -c 'select(.process_kprobe != null)' | \
  while IFS= read -r line; do
    curl -s -X POST "http://elasticsearch:9200/tetragon-events/_doc" \
      -H "Content-Type: application/json" \
      -d "$line"
  done

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.