implementing-ebpf-security-monitoring▌
mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026
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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.
| 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)
kubectlconfigured with cluster accesstetraCLI installed for local event streaming- Python 3.8+ with
requests,kubernetes,pyyamldependencies - 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 on Cursor
AI-first code editor with Composer
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
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches implementing-ebpf-security-monitoring from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
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.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
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.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 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▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★33 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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