15,200 OpenClaw Control Panels with Full System Access Exposed to the Internet

By Published On: February 10, 2026

The burgeoning world of agentic AI promises transformative efficiency, yet a critical security oversight has left a staggering 15,200 OpenClaw control panels directly exposed to the public internet. This alarming discovery, unveiled by the SecurityScorecard STRIKE Threat Intelligence Team, exposes a significant vulnerability within a framework rapidly being adopted for personal and corporate AI assistants. This isn’t just about data breaches; it’s about full system access to intelligent agents that could potentially control critical operations.

The Rise of Agentic AI and OpenClaw’s Role

Agentic AI, an advanced form of artificial intelligence, empowers AI systems to act autonomously, make decisions, and achieve complex goals without constant human intervention. Frameworks like OpenClaw (formerly known Moltbot) are pivotal to this evolution, providing the underlying infrastructure for managing and interacting with these intelligent agents. From automating customer service to managing intricate financial systems, agentic AI is rapidly integrating into diverse sectors. However, this power comes with inherent risks, particularly when fundamental security measures are overlooked.

Understanding the Exposure: What “Full System Access” Really Means

The revelation that 15,200 OpenClaw instances are exposed isn’t merely a disclosure of publicly accessible interfaces. SecurityScorecard’s research indicates that these exposed control panels grant full system access. This means an attacker could:

  • Execute arbitrary commands: Directly control the underlying operating system running the OpenClaw instance.
  • Manipulate AI agent behavior: Alter or reprogram the AI assistant’s functions, leading to malicious actions or data exfiltration.
  • Steal sensitive data: Access any personal or corporate information processed or stored by the AI agent.
  • Establish persistence: Plant backdoors or other malicious software for long-term access.
  • Launch further attacks: Use the compromised OpenClaw instance as a pivot point into other internal networks.

The implications are profound, ranging from corporate espionage and intellectual property theft to system sabotage and reputational damage. This isn’t just an inconvenience; it’s a critical gateway for sophisticated cyberattacks.

The Unseen Threat: Why This Vulnerability is Critical

Unlike typical web application vulnerabilities that might require specific exploits, the OpenClaw exposure appears to be a misconfiguration issue – likely default installations or forgotten network configurations leaving administrative interfaces wide open. This significantly lowers the barrier for attackers, as no zero-day exploit or advanced hacking skills are necessarily required. Simple scans for public-facing OpenClaw instances could yield thousands of potential targets.

While a specific CVE number associated with this broad exposure has not yet been publicly disclosed, the fundamental issue lies in improper network hygiene and security best practices. Organizations deploying agentic AI solutions must understand that their intelligence layer is only as secure as its foundational infrastructure.

Remediation Actions: Securing Your OpenClaw Instances

Immediate action is imperative for any organization utilizing the OpenClaw framework. Proactive measures are the only way to mitigate the severe risks associated with exposed control panels.

  • Identify OpenClaw Instances: Conduct thorough network scans to identify all running OpenClaw instances within your infrastructure, paying close attention to any that are publicly accessible.
  • Restrict Network Access: Harden network configurations. Ensure that OpenClaw control panels are not directly exposed to the internet. Implement strict firewall rules to allow access only from authorized IP addresses or internal networks via VPN.
  • Implement Strong Authentication: If external access is absolutely necessary, enforce multi-factor authentication (MFA) and strong, unique passwords for all administrative accounts.
  • Review Default Configurations: Change all default usernames, passwords, and security settings immediately upon deployment.
  • Regular Security Audits: Perform frequent security audits and penetration testing on all AI agent infrastructure to identify and rectify vulnerabilities before they are exploited.
  • Apply Patches and Updates: Keep the OpenClaw framework and its underlying operating system fully patched and updated. While this specific issue may not be a software bug, maintaining a patched environment reduces overall attack surface.
  • Logging and Monitoring: Implement robust logging and monitoring for all access attempts to OpenClaw control panels. Set up alerts for unusual login patterns or failed authentication attempts.

Essential Tools for Detection and Mitigation

To help organizations assess their exposure and strengthen their defenses, several tools can be employed:

Tool Name Purpose Link
Shodan Internet-wide search engine for exposed devices and services. Can identify public-facing OpenClaw instances. https://www.shodan.io/
Nmap Network scanner to discover hosts and services on a computer network, including open ports. https://nmap.org/
Burp Suite Web vulnerability scanner for identifying security flaws in web applications and APIs. https://portswigger.net/burp
Firewall/WAF Solutions Security appliances/software to filter traffic and prevent unauthorized access (e.g., Palo Alto, Fortinet, Cloudflare). (Vendor Specific)

Conclusion

The exposure of 15,200 OpenClaw control panels is a stark reminder that even the most innovative technologies are vulnerable to fundamental security lapses. As agentic AI becomes more pervasive, the attack surface expands, and the potential impact of compromise escalates dramatically. Organizations must prioritize robust network hygiene, secure configurations, and continuous monitoring to safeguard these powerful systems. Ignoring these foundational security principles transforms cutting-edge AI into a critical liability.

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