implementing-ebpf-security-monitoring

mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026

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$npx skills install mukul975/Anthropic-Cybersecurity-Skills/implementing-ebpf-security-monitoring
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summary

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.

skill.md
name
implementing-ebpf-security-monitoring
description
'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. '
domain
cybersecurity
subdomain
security-operations
tags
- implementing - ebpf - security - monitoring - tetragon - cilium - runtime - observability
version
'1.0'
author
mukul975
license
Apache-2.0
nist_ai_rmf
- MEASURE-2.7 - MAP-5.1 - MANAGE-2.4
atlas_techniques
- AML.T0070 - AML.T0066 - AML.T0082
nist_csf
- DE.CM-01 - RS.MA-01 - GV.OV-01 - DE.AE-02

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
how to use implementing-ebpf-security-monitoring

How to use implementing-ebpf-security-monitoring on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add implementing-ebpf-security-monitoring
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/implementing-ebpf-security-monitoring

The skills CLI fetches implementing-ebpf-security-monitoring from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/implementing-ebpf-security-monitoring

Reload or restart Cursor to activate implementing-ebpf-security-monitoring. Access the skill through slash commands (e.g., /implementing-ebpf-security-monitoring) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.833 reviews
  • Aisha Desai· Dec 28, 2024

    Useful defaults in implementing-ebpf-security-monitoring — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Ganesh Mohane· Dec 4, 2024

    Useful defaults in implementing-ebpf-security-monitoring — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Kwame Menon· Dec 4, 2024

    I recommend implementing-ebpf-security-monitoring for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Rahul Santra· Nov 23, 2024

    implementing-ebpf-security-monitoring has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Daniel Sharma· Nov 23, 2024

    Solid pick for teams standardizing on skills: implementing-ebpf-security-monitoring is focused, and the summary matches what you get after install.

  • Kaira Yang· Nov 19, 2024

    implementing-ebpf-security-monitoring has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Pratham Ware· Oct 14, 2024

    Solid pick for teams standardizing on skills: implementing-ebpf-security-monitoring is focused, and the summary matches what you get after install.

  • Amelia Robinson· Oct 14, 2024

    implementing-ebpf-security-monitoring has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Diego Flores· Oct 10, 2024

    Solid pick for teams standardizing on skills: implementing-ebpf-security-monitoring is focused, and the summary matches what you get after install.

  • Nia Kim· Sep 5, 2024

    Keeps context tight: implementing-ebpf-security-monitoring is the kind of skill you can hand to a new teammate without a long onboarding doc.

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