Is OpenClaw Safe? Security Risks Explained
OpenClaw is self-hosted, which means your data never leaves your infrastructure. That's fundamentally safer than cloud services that process your data on third-party servers. However, self-hosting also means you're responsible for security. This guide explains OpenClaw's security model, what risks exist, how skill auditing works, and what basic measures you should take to ensure a safe deployment.
Why This Is Hard to Do Yourself
These are the common pitfalls that trip people up.
Understanding self-hosted security
Self-hosting means you control your data, but you also control security. There's no vendor to blame if something goes wrong.
Data privacy concerns
People worry their prompts or documents might be leaked. With OpenClaw, your data stays on your server โ but only if you configure it correctly.
Skill safety
Skills from ClawHub are community-contributed. How do you know they're safe? What if a skill exfiltrates data or runs malicious code?
Step-by-Step Guide
Understand the self-hosted security model
OpenClaw runs on your infrastructure. Your data never touches external servers.
# The security promise:
# 1. Your prompts stay on your server
# 2. Your documents stay on your server
# 3. API keys (Anthropic, OpenAI) are stored locally
# 4. No telemetry sent to openclaw.com (by default)
# What OpenClaw does send out:
# - API calls to LLM providers (Anthropic, OpenAI) with your prompts
# - Requests to external tools/APIs if skills use them
# - ClawHub requests when browsing/installing skills
# What you control:
# - Who can access your OpenClaw instance (network firewall)
# - What skills are installed (manual approval)
# - Where logs are stored (local filesystem or external SIEM)Review data flow (your data never leaves your server)
Trace where your data goes when you use OpenClaw.
# Data flow for a typical query:
# 1. You type a prompt in OpenClaw UI (browser -> your server)
# 2. OpenClaw processes it locally (reads files, runs skills)
# 3. OpenClaw sends prompt + context to LLM API (your server -> Anthropic/OpenAI)
# 4. LLM response comes back (Anthropic/OpenAI -> your server)
# 5. OpenClaw displays result (your server -> browser)
# Your data DOES leave your server when:
# - Sent to LLM providers (necessary for AI functionality)
# - Skills make external API calls (e.g., a "Search Google" skill)
# - You use cloud integrations (Slack, GitHub, etc.)
# Your data NEVER leaves your server for:
# - Storage (all files, chat history stored locally)
# - Authentication (local user accounts or self-hosted SSO)
# - Logging (logs stay on your server unless you configure external shipping)Warning: If you use a cloud-hosted LLM (Anthropic, OpenAI), your prompts are sent to their servers. Check their privacy policies. For maximum privacy, use a self-hosted LLM like Ollama or LM Studio.
Evaluate skill security (ClawHub auditing)
Understand how to assess whether a skill is safe.
# ClawHub skill safety indicators:
# 1. Verification badge: Audited by ClawHub team
# 2. Download count: Popular skills are scrutinized by community
# 3. Last updated: Abandoned skills may have unpatched vulnerabilities
# 4. Source code link: Can you review the code yourself?
# Red flags:
# - Requests excessive permissions (filesystem, network)
# - Obfuscated code (base64, minified JavaScript)
# - External API calls to unknown domains
# - Recently published with few downloads
# - No source code available
# Before installing a skill:
# 1. Check verification status
# 2. Read reviews and comments
# 3. Review source code if available
# 4. Test in a sandbox environment first
# 5. Monitor logs after installationSet up basic security measures
Implement foundational security for your OpenClaw deployment.
# 1. Enable authentication (don't run OpenClaw publicly without auth)
# In docker-compose.yml:
services:
openclaw:
environment:
- AUTH_ENABLED=true
- AUTH_SECRET=<generate-32-byte-secret>
# 2. Use HTTPS (don't send credentials over HTTP)
# Use Caddy reverse proxy for auto-HTTPS:
services:
caddy:
image: caddy:2.7-alpine
ports:
- "443:443"
volumes:
- ./Caddyfile:/etc/caddy/Caddyfile
- caddy_data:/data
# 3. Restrict network access (only allow trusted IPs)
# Use firewall (ufw, iptables) or cloud security groups
# 4. Rotate API keys regularly (Anthropic, OpenAI keys)
# Set a calendar reminder to rotate every 90 days
# 5. Enable audit logging
# In gateway.yaml:
logging:
audit_events: true
log_file: /app/logs/audit.logCreate a security checklist
Use this checklist for ongoing security maintenance.
# Monthly security checklist:
# [ ] Review installed skills (remove unused ones)
# [ ] Check for OpenClaw updates (security patches)
# [ ] Review user access list (remove ex-employees)
# [ ] Audit API key usage (look for anomalies)
# [ ] Review firewall rules (ensure principle of least privilege)
# [ ] Check disk space (logs can fill disk)
# [ ] Test backups (can you restore from backup?)
# [ ] Review authentication logs (failed login attempts)
# Quarterly checklist:
# [ ] Rotate LLM API keys
# [ ] Update dependencies (Docker images, OS packages)
# [ ] Re-validate SSL certificates (if not auto-renewed)
# [ ] Run security audit (external or internal)
# [ ] Review incident response plan
# [ ] Test disaster recovery (restore from backup)
# Save this checklist and assign an owner.Want Peace of Mind?
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