OpenClaw changed how we work with AI agents. It’s fast, flexible, and genuinely useful. But here’s the problem: it’s also become a massive target for attackers. In late January 2026, researchers found that 12% of all ClawHub skills were malicious. That’s 341 out of 2,857 skills. By mid-February, the number jumped to over 824 malicious skills spread across 1,184 packages.

This isn’t a minor issue. We’re talking about full remote code execution through WebSocket hijacking, sandbox escapes, and credential theft at scale. If you’re running OpenClaw without proper security monitoring, you’re basically leaving your front door open. This guide breaks down everything you need to know about protecting your OpenClaw setup. We’ll cover the threats, the tools, and the specific steps you can take today to lock things down.

The OpenClaw Threat Landscape: What You’re Really Up Against

Let’s be direct about what’s happening. OpenClaw’s popularity made it a prime target. The attack surface is huge, and bad actors noticed fast.

The ClawHavoc Campaign: 824+ Malicious Skills and Counting

The ClawHavoc campaign represents the largest coordinated attack on OpenClaw users to date. Security researchers at Antiy CERT tracked this campaign as it grew from an initial discovery to a full-blown ecosystem threat.

Here’s the timeline:

• Late January 2026: Initial discovery of 341 malicious skills out of 2,857 total on ClawHub
• Mid-February 2026: Expansion to 824+ malicious skills
• 1,184 malicious packages identified across 12 publisher accounts
• Multiple attack vectors: info stealers, proxy malware, and backdoors

These weren’t amateur attempts. The attackers created legitimate-looking skills that passed casual review. Some even had positive ratings and thousands of downloads before researchers flagged them.

Specific Malware Families Targeting OpenClaw Users

The OpenClaw Security Monitor tool on GitHub tracks several specific malware families. Each one works differently, and understanding them helps you spot suspicious behavior:

AMOS Stealer: This targets macOS users specifically. It grabs passwords, browser data, cryptocurrency wallets, and authentication tokens. Once it’s on your system, it phones home with everything it finds.

Vidar Infostealer: A well-known commodity malware that’s been adapted for OpenClaw. It focuses on credential harvesting from browsers, email clients, and FTP applications. The OpenClaw variant specifically targets stored API keys and tokens.

GhostSocks Proxy Malware: This one turns your machine into a proxy node for attackers. Your IP address gets used for other attacks, and you won’t even know it’s happening until someone comes knocking.

SANDWORM Worm Propagation: The most concerning variant. It spreads between connected OpenClaw instances automatically. One infected workspace can quickly become a network-wide problem.

CVE-2026-25253: The WebSocket Hijacking Nightmare

This CVE deserves special attention. It showed that a single malicious link could achieve full remote code execution on any OpenClaw instance through WebSocket hijacking. Even instances bound to localhost weren’t safe.

How it works:

1. Attacker sends a crafted link to a victim
2. Victim clicks the link in their browser
3. Browser JavaScript connects to the local OpenClaw WebSocket
4. Attacker gains complete control of the OpenClaw instance
5. Commands execute with the user’s full permissions

The scary part? Many users assumed binding to localhost meant they were safe from remote attacks. This CVE proved that assumption wrong.

The March 2026 CVE Batch: Nine New Vulnerabilities

Between March 19-21, 2026, nine new CVEs dropped. These weren’t minor issues:

These vulnerabilities chain together in nasty ways. An attacker combining symlink traversal with sandbox escape could go from “limited skill permissions” to “full system access” in seconds.

Why OpenClaw Security Monitoring Matters More Than Ever

Gartner put it bluntly in their recent report: OpenClaw is “a dangerous preview of agentic AI, demonstrating high utility but exposing enterprises to ‘insecure by default’ risks like plaintext credential storage.”

That “insecure by default” part is the key phrase. Out of the box, OpenClaw prioritizes ease of use over security. That makes sense for getting started, but it creates real problems at scale.

The “Insecure by Default” Problem

When you first install OpenClaw, several security features are turned off or set to permissive defaults:

• Credential storage: Often stored in plaintext on disk
• Tool permissions: Many skills get broad access by default
• Authentication: Some deployments run without proper token auth
• Network binding: Can be exposed beyond localhost without warning
• Session logging: Sensitive data may persist in logs

Each of these is a potential attack vector. Without monitoring, you won’t know when something suspicious happens until it’s too late.

Bitsight’s Research: Exposed Instances in the Wild

Bitsight’s research team has been tracking exposed OpenClaw instances since early 2026. Their findings are concerning. They’ve observed a steady increase in publicly accessible OpenClaw deployments, many running without basic security measures.

The research shows patterns similar to what happened with exposed MongoDB and Elasticsearch instances years ago. Developers spin up OpenClaw for testing, forget to lock it down, and leave it running. Attackers scan for these instances constantly.

The difference with OpenClaw? These exposed instances often have:

• Access to internal APIs
• Stored authentication tokens
• Connections to messaging platforms
• File system access
• Ability to execute code

An attacker finding one of these exposed instances doesn’t just get data. They get a foothold into the entire organization.

The Supply Chain Attack Vector

OpenClaw’s skill ecosystem mirrors the package management problems we’ve seen in npm, PyPI, and other repositories. The supply chain attack surface includes:

Typosquatting: Attackers create skills with names similar to popular legitimate ones. A user types “slack-manager” instead of “slackmanager” and installs malware.

Dependency Confusion: Skills can pull in dependencies that aren’t what they claim to be. The dependency resolution process can be exploited.

Account Takeover: The 12 publisher accounts identified in the ClawHavoc campaign may have been compromised legitimate accounts, not just new fake ones.

MCP Tool Poisoning: Model Context Protocol tools can be manipulated to execute malicious code when invoked by the AI agent.

This is why the OpenClaw Security Monitor specifically tracks 60+ CVEs and 100+ GHSAs (GitHub Security Advisories). The threat landscape is broad and constantly changing.

Understanding the OpenClaw Security Monitor Tool

The OpenClaw Security Monitor (available at github.com/adibirzu/openclaw-security-monitor) was built specifically to address these threats. Let’s break down what it does and how it works.

Core Detection Capabilities

The monitor tracks a wide range of attack types. Here’s what it looks for:

Malicious Skill Detection:

• ClawHavoc campaign skills (all 824+ identified variants)
• Known malware families (AMOS, Vidar, GhostSocks, SANDWORM)
• Skills with suspicious permission requests
• Recently published skills from flagged publishers

Attack Pattern Recognition:

• ClawJacked WebSocket brute-force attempts
• Workspace plugin auto-loading attacks
• Shared-auth scope escalation
• Approval replay/integrity bypasses
• Memory poisoning attempts
• Log poisoning detection
• Browser relay hijacking

Infrastructure Attacks:

• TAR traversal attempts
• SSRF probing
• SHA-1 cache poisoning
• Symlink-based file access
• Sandbox escape attempts

How the Monitor Works

The security monitor operates at several layers:

1. Skill Vetting Layer

Before any skill runs, the monitor checks it against known bad signatures. This includes hash comparisons, behavioral pattern matching, and publisher reputation checks.

2. Runtime Monitoring Layer

During execution, the monitor watches for suspicious system calls, unexpected network connections, and file system access outside allowed paths.

3. Network Layer

WebSocket connections, HTTP requests, and DNS queries are all logged and analyzed. Connections to known malicious infrastructure trigger alerts.

4. Audit Layer

All actions are logged with enough detail to reconstruct what happened during an incident. This includes which skill made what request and what the outcome was.

Integration with OpenClaw’s Built-in Security Audit

OpenClaw includes a built-in security audit command. The community recommendation is clear: “Run the built-in audit (do this first) – openclaw security audit –deep”

This command checks:

• Configuration file security
• Credential storage methods
• Network exposure
• Permission settings
• Installed skill integrity
• Session log contents

The external security monitor builds on this by adding continuous monitoring rather than point-in-time audits.

OpenClaw Agent Protection: Configuration Hardening That Works

Let’s get into the specific configurations you need. These settings come directly from the OpenClaw security documentation and real-world deployment experience.

The Hardened Baseline Configuration

OpenClaw’s documentation promises a “hardened baseline in 60 seconds.” Here’s the configuration that delivers it:

Gateway Settings:

gateway: {
  mode: "local",
  bind: "loopback",
  auth: { 
    mode: "token", 
    token: "replace-with-long-random-token" 
  },
}

Let’s break this down:

• mode: “local” means the gateway only accepts local connections
• bind: “loopback” restricts binding to 127.0.0.1 only
• auth mode: “token” requires authentication for all requests
• token: Use a long, random string. Don’t use the default.

Session Scope Configuration

The session scope determines how conversations are isolated. This matters a lot for security:

session: {
  dmScope: "per-channel-peer",
}

The “per-channel-peer” setting means each conversation with a different user is isolated. This prevents cross-contamination of context and limits the blast radius if one session is compromised.

Tool Permission Lockdown

This is where most of the security magic happens. The tool configuration determines what skills can actually do:

tools: {
  profile: "messaging",
  deny: [
    "group:automation", 
    "group:runtime", 
    "group:fs", 
    "sessions_spawn", 
    "sessions_send"
  ],
  fs: { workspaceOnly: true },
  exec: { security: "deny", ask: "always" },
  elevated: { enabled: false },
}

What each setting means:

Channel-Specific Security for Messaging Platforms

If you’re connecting OpenClaw to WhatsApp, Slack, or other messaging platforms, you need channel-specific rules:

channels: {
  whatsapp: { 
    dmPolicy: "pairing", 
    groups: { "*": { requireMention: true } } 
  },
}

The dmPolicy: “pairing” setting requires users to explicitly pair with the bot before it responds to them. This prevents strangers from triggering your agent.

The requireMention: true setting for groups means the bot won’t respond unless directly mentioned. This stops accidental triggers and reduces the attack surface in group chats.

Insecure Flags to Avoid

The OpenClaw documentation explicitly calls out dangerous flags. Watch for these in your configuration:

• –no-auth: Disables authentication entirely
• –bind-all: Binds to all network interfaces
• –allow-exec: Allows arbitrary code execution
• –skip-verify: Skips skill signature verification
• –trust-remote: Trusts remote skill sources without verification

If you see these flags in your startup command or configuration, remove them unless you have a very specific reason and compensating controls.

OpenClaw Threat Detection: Understanding Trust Boundaries

The concept of trust boundaries is central to OpenClaw security. The official documentation includes a detailed trust boundary matrix that every administrator should understand.

The Trust Boundary Matrix Explained

OpenClaw defines several trust levels:

Fully Trusted:

• The host machine’s operating system
• The OpenClaw gateway process itself
• Locally installed, verified skills

Partially Trusted:

• Remote nodes connected via secure channels
• Company-managed skill repositories
• Authenticated user sessions

Untrusted:

• Public skill repositories (including ClawHub)
• Unauthenticated users
• Skills from unknown publishers
• Third-party integrations

The security problems arise when something untrusted gets treated as trusted. The ClawHavoc campaign succeeded because users treated ClawHub skills as trusted when they shouldn’t have.

Gateway and Node Trust Concepts

The gateway is your security perimeter. Think of it like a firewall for your OpenClaw deployment:

Gateway responsibilities:

• Authentication of all incoming requests
• Authorization checks before tool invocation
• Traffic filtering and rate limiting
• Session isolation and management
• Audit logging

Node responsibilities:

• Tool execution within defined permissions
• Reporting execution results to gateway
• Maintaining sandbox isolation
• Respecting workspace boundaries

When you use remote nodes (like Docker containers for sandboxing), you’re extending your trust boundary. The connection between gateway and node must be secured.

Shared Slack Workspace: Real Risk Analysis

The documentation specifically calls out shared Slack workspaces as a “real risk.” Here’s why:

In a shared Slack workspace:

1. Multiple people can message the OpenClaw bot
2. The bot may have access to credentials or APIs
3. One malicious message could trigger unauthorized actions
4. Audit trails may not clearly show who initiated what

The “shared inbox quick rule” addresses this: any deployment where multiple people can trigger the agent needs additional controls like approval workflows, limited tool access, and clear user attribution in logs.

Company-Shared Agent: Acceptable Pattern

A company-shared agent can work securely with the right setup:

• Authentication: All users must authenticate before using the agent
• Authorization: Role-based access controls limit what each user can do
• Audit: Every action is logged with user attribution
• Approval: Sensitive operations require human approval
• Isolation: User sessions are strictly isolated

The difference between a risky shared workspace and a secure company agent is whether these controls are in place.

Real-World Attack Scenarios and How Monitoring Catches Them

Let’s walk through specific attack scenarios. Understanding how attacks work helps you configure better defenses and recognize when something’s wrong.

Scenario 1: The ClawJacked WebSocket Attack

How it works:

1. Attacker identifies a target using OpenClaw
2. Attacker crafts a malicious webpage with JavaScript
3. Target visits the page (via phishing email, compromised site, etc.)
4. JavaScript connects to localhost:3000 (common OpenClaw port)
5. WebSocket connection established without authentication
6. Attacker sends commands through the victim’s browser

What the monitor sees:

• WebSocket connection from unexpected origin
• Rapid command submission pattern
• Commands attempting sensitive operations
• User agent indicating browser-based access

Prevention:

• Token authentication for all WebSocket connections
• Origin header validation
• Bind to loopback only with proper auth

Scenario 2: Supply Chain Skill Compromise

How it works:

1. Attacker identifies a popular skill with infrequent updates
2. Attacker compromises the publisher’s account
3. Attacker pushes malicious update
4. Users automatically receive the update
5. Malicious code executes with skill’s permissions

What the monitor sees:

• Skill behavior change after update
• New network connections to unknown hosts
• File system access outside normal patterns
• Credential access attempts

Prevention:

• Dependency locking (published package dependency lock)
• Skill integrity verification before execution
• Behavioral baseline comparison
• Update review before deployment

Scenario 3: Approval Replay Attack

How it works:

1. User legitimately approves a tool execution
2. Attacker captures the approval token
3. Attacker replays the approval for different operations
4. System accepts the replayed approval
5. Unauthorized operations execute with “approval”

What the monitor sees:

• Approval token reuse across different contexts
• Time-based anomalies in approval sequence
• Approval scope mismatch with requested action

Prevention:

• Approval tokens with single-use enforcement
• Context binding in approval tokens
• Short expiration windows
• Integrity checks on approval payloads

Scenario 4: Memory Poisoning Through Context

How it works:

1. Attacker sends specially crafted message to agent
2. Message contains hidden instructions in context
3. Agent’s memory/context gets poisoned
4. Future interactions follow poisoned instructions
5. Agent takes actions the user didn’t intend

What the monitor sees:

• Unusual patterns in conversation context
• Hidden character sequences in messages
• Behavioral changes after specific interactions
• Actions that don’t match user intent

Prevention:

• Context sanitization
• Session isolation
• Regular context clearing
• Input validation before context storage

Scenario 5: SANDWORM Worm Propagation

How it works:

1. One OpenClaw instance gets infected
2. Worm identifies other connected instances
3. Worm uses legitimate communication channels to spread
4. Each new infection repeats the process
5. Entire network of agents compromised rapidly

What the monitor sees:

• Unexpected inter-instance communication
• Identical malicious payloads across instances
• Temporal correlation of infections
• Network scanning behavior

Prevention:

• Strict network segmentation
• Authentication between instances
• Rate limiting on inter-instance communication
• Behavioral anomaly detection

OpenClaw Vulnerability Scanning: Deployment and Host Security

Your OpenClaw security is only as strong as the host it runs on. Let’s cover the deployment and host trust considerations.

Secure File Operations

File operations are a common attack vector. The OpenClaw documentation includes specific guidance:

Workspace Isolation:

• All file operations should be restricted to the workspace directory
• No access to parent directories
• No following of symlinks outside workspace
• No access to system files

The Symlink Trap:

CVE-2026-32013 showed how symlink traversal could escape the workspace. An attacker creates a symlink pointing outside the workspace, and file operations follow it. The fix requires:

• Canonical path resolution before any operation
• Symlink target validation
• Rejection of paths that escape the workspace after resolution

Credential Storage Best Practices

Gartner called out plaintext credential storage as a major risk. Here’s what good credential handling looks like:

Don’t:

• Store credentials in config files
• Keep tokens in environment variables that get logged
• Use the same credentials across environments
• Store credentials in git repositories

Do:

• Use a secrets manager (HashiCorp Vault, AWS Secrets Manager, etc.)
• Rotate credentials regularly
• Use short-lived tokens where possible
• Audit credential access

The credential storage map in OpenClaw’s security audit shows exactly where credentials live in your deployment. Run openclaw security audit --deep to see this map.

Docker Sandboxing Configuration

Docker is the default sandboxing backend for OpenClaw. Proper configuration matters:

Basic Security Settings:

• Run containers as non-root user
• Drop all capabilities except required ones
• Use read-only root filesystem
• Limit memory and CPU
• Disable network unless needed

Advanced Hardening:

• Use seccomp profiles to limit syscalls
• Apply AppArmor or SELinux policies
• Use user namespaces for additional isolation
• Mount workspace as read-only if possible

Reverse Proxy Configuration

If you’re exposing OpenClaw through a reverse proxy (nginx, Caddy, etc.), additional configuration is needed:

Required Headers:

• Strict-Transport-Security (HSTS)
• Content-Security-Policy
• X-Content-Type-Options: nosniff
• X-Frame-Options: DENY

WebSocket Considerations:

• Proxy must support WebSocket upgrades
• Timeout settings need adjustment for long connections
• Origin validation at proxy level adds defense in depth

Local Session Logs: Hidden Risk

The documentation notes that “local session logs live on disk.” This creates risks:

• Sensitive information may appear in logs
• Logs may contain credentials passed in messages
• Old logs may retain data after credential rotation
• Attackers with disk access can read historical sessions

Mitigation:

• Implement log rotation with secure deletion
• Encrypt logs at rest
• Filter sensitive data before logging
• Set appropriate file permissions
• Consider ephemeral storage for sensitive deployments

OpenClaw Security Audit: Complete Checklist and Process

Regular auditing catches configuration drift and new vulnerabilities. Here’s the complete audit process.

Step 1: Run the Built-in Audit

Start with openclaw security audit --deep. This checks:

• Configuration security: Validates settings against security baselines
• Credential storage: Identifies plaintext credentials and suggests fixes
• Network exposure: Checks what ports and interfaces are bound
• Permission settings: Reviews tool and file permissions
• Skill integrity: Verifies installed skills against known good hashes
• Session data: Looks for sensitive data in active sessions

Address everything the audit flags before moving on.

Step 2: External Vulnerability Scanning

The internal audit doesn’t catch everything. Run external scans to find:

• Exposed ports that shouldn’t be accessible
• SSL/TLS configuration issues
• HTTP security headers
• Known CVEs in dependencies

Tools like nmap, sslyze, and nuclei can help here.

Step 3: Review the Trust Boundary Matrix

Walk through each integration and ask:

• What trust level does this integration have?
• Is that trust level appropriate?
• What could go wrong if this integration was compromised?
• Are there compensating controls?

Document any gaps and create remediation plans.

Step 4: Check the Insecure Flags Summary

Review your startup configuration and flags:

• Search config files for dangerous flags
• Check systemd units or container definitions
• Review any wrapper scripts
• Verify environment variables

Step 5: Validate Logging and Monitoring

Confirm that your security monitoring is actually working:

• Generate test events and verify they’re logged
• Check that alerts are delivered
• Review log retention policies
• Verify log integrity protections

Security Audit Checklist Summary

Advanced OpenClaw Security Monitoring Techniques

Beyond basic configuration, advanced monitoring techniques help catch sophisticated attacks.

Behavioral Baseline Analysis

Establish what “normal” looks like for your deployment:

• Network patterns: Which hosts does your agent normally connect to?
• File access patterns: Which files are typically read or written?
• Tool usage: Which tools are invoked and how often?
• Time patterns: When is the agent typically active?
• User patterns: Who typically interacts with the agent?

Deviations from baseline trigger investigation. An agent suddenly connecting to a new external host at 3 AM is suspicious.

Correlation Rules for Detection

Single events often look innocent. Correlation catches attacks that hide in noise:

Example correlation rules:

• Failed auth + successful auth from new IP = potential credential theft
• Skill update + new network connection = supply chain risk
• Multiple permission denied errors + successful operation = probing followed by exploit
• WebSocket connection from browser origin + rapid commands = WebSocket hijacking

Integration with SIEM Systems

For enterprise deployments, OpenClaw logs should feed into your SIEM:

• Configure log forwarding (syslog, HTTP, or file-based)
• Create custom parsers for OpenClaw log format
• Build correlation rules specific to OpenClaw threats
• Set up dashboards for visibility
• Configure alerts for high-priority events

MCP Server Security Monitoring

Model Context Protocol (MCP) servers extend OpenClaw’s capabilities. Bitsight’s research on exposed MCP servers shows they’re a growing attack surface.

Monitor MCP connections for:

• Connections to unknown MCP servers
• MCP tool invocations outside normal patterns
• Data exfiltration through MCP channels
• MCP server authentication failures

Dynamic Skills and Remote Nodes

The documentation mentions “dynamic skills (watcher / remote nodes)” as a security consideration. These add flexibility but also risk:

Watcher mode risks:

• Auto-loading of new skills without review
• Directory traversal to inject skills
• Race conditions during skill loading

Remote node risks:

• Network interception between gateway and node
• Node compromise spreading to gateway
• Authentication bypass between components

Monitor these components with additional scrutiny.

OpenClaw Incident Response: When Things Go Wrong

Even with monitoring, incidents happen. Here’s how to respond.

Immediate Containment Steps

When you detect a potential compromise:

1. Isolate the affected instance – Kill network connections immediately
2. Preserve evidence – Copy logs before they rotate or get deleted
3. Stop the agent – Prevent further damage
4. Rotate credentials – Assume all stored credentials are compromised
5. Alert affected parties – If the agent had access to other systems, notify those teams

Investigation Process

Once contained, investigate:

Timeline reconstruction:

• When did the compromise begin?
• What was the initial access vector?
• What actions did the attacker take?
• What data was accessed or exfiltrated?
• Are other systems affected?

Log analysis:

• Review session logs for suspicious commands
• Check network logs for external connections
• Examine file access logs for unauthorized access
• Look for privilege escalation attempts

Recovery and Hardening

After investigation:

1. Clean reinstall – Don’t trust the compromised instance
2. Apply all updates – Patch known vulnerabilities
3. Harden configuration – Use the security settings discussed earlier
4. Verify skill integrity – Remove any suspicious skills
5. Test monitoring – Confirm detection capabilities work
6. Document lessons – Update procedures based on what you learned

Post-Incident Monitoring

Attackers often return. After an incident:

• Increase monitoring sensitivity temporarily
• Watch for similar attack patterns
• Monitor for persistent access attempts
• Review related systems for compromise

The Future of OpenClaw Security: What’s Coming

The OpenClaw security landscape will keep evolving. Here’s what to watch.

Growing Sophistication of Attacks

The ClawHavoc campaign showed coordinated, sophisticated attacks. Future attacks will likely include:

• More targeted campaigns against specific organizations
• Better evasion of detection mechanisms
• Exploitation of zero-day vulnerabilities
• Social engineering combined with technical exploits

AI-Powered Attack Tools

Attackers will use AI to:

• Generate convincing phishing messages to bypass mention requirements
• Create malicious skills that pass automated review
• Adapt attacks based on defender responses
• Find vulnerabilities in OpenClaw code automatically

Regulatory Attention

As agentic AI becomes more common, expect:

• New compliance requirements for AI agents
• Industry standards for agent security
• Liability frameworks for agent actions
• Audit requirements for enterprise deployments

Improved Security Tools

The security community is responding with:

• Better skill vetting and signing processes
• Improved sandboxing technologies
• More sophisticated behavioral detection
• Standardized security configuration profiles

OpenClaw’s Security Roadmap

The OpenClaw team is addressing security with:

• Faster patching of reported vulnerabilities
• Improved default security settings
• Better documentation and security guidance
• Built-in monitoring capabilities

Stay updated on releases and apply security updates promptly.

Conclusion

OpenClaw security monitoring isn’t optional anymore. With 824+ malicious skills, 60+ CVEs, and attackers actively targeting this platform, proper security is a requirement. Start with the hardened baseline configuration. Run regular audits with openclaw security audit --deep. Set up continuous monitoring with tools like the OpenClaw Security Monitor. Lock down trust boundaries, especially for shared workspaces. And always keep your deployment updated. The threats are real, but they’re manageable with the right approach.

Frequently Asked Questions About OpenClaw Security Monitoring