A 1-Click Remote Code Execution (RCE) vulnerability, CVE-2026–25253, was recently disclosed in the AI agent platform OpenClaw, drawing attention from the security community.
In a previous blog post, we analyzed the security risks and potential attack scenarios associated with autonomous AI agents exposed to the internet through the earlier OpenClaw project name Clawdbot (later renamed Moltbot). That analysis demonstrated that even management interface exposure and weak authentication structures alone could turn AI agents into an exploitable attack surface.
Building on that discussion, this article examines a real-world vulnerability case rather than a simple exposure scenario. Specifically, we review the OpenClaw CVE-2026–25253 1-Click RCE vulnerability. Because the attack can succeed simply by tricking a user into clicking a malicious link or visiting a crafted web page, the issue highlights how AI agent platform security and AI agent attack surface management are becoming increasingly significant security concerns.
Overview of the CVE-2026–25253 Vulnerability
ItemDetailsVulnerability TypeRemote Code Execution (RCE)Vulnerability IDCVE-2026–25253Core ImpactPotential agent control through authentication token theftAffected ProductOpenClaw
CVE-2026–25253 is associated with a vulnerability in the OpenClaw Control interface, where external input can be abused to manipulate the connection configuration workflow. An attacker can lure a victim into accessing a crafted URL, potentially causing the victim's authentication token to be transmitted to the attacker-controlled server during the connection process.
The vulnerability was publicly disclosed by Depthfirst on February 1, 2026, although OpenClaw reported that the issue had already been patched in version 2026.1.29, released on January 29, 2026.
Attack Process and Scenario Analysis
In vulnerabilities such as CVE-2026–25253, an attack can succeed through a relatively simple sequence. An attacker first creates a malicious URL containing a manipulated gatewayUrl parameter. The victim is then encouraged to click the link via phishing emails or malicious web pages. When the user accesses the link, the OpenClaw Control UI attempts to establish a WebSocket connection to the server specified by the attacker. During this process, the authentication token may be transmitted externally, allowing the attacker to attempt access to the OpenClaw instance.
If access is successfully established, the attacker could abuse the agent's permission scope to perform additional malicious activities, including:
- Command execution
- File access
- External API calls
OpenClaw Exposure Insights from Criminal IP Data
In vulnerability management, understanding the vulnerability itself is only part of the picture. Equally important is the scale of internet-accessible infrastructure running the vulnerable service. AI agent platforms such as OpenClaw are often deployed rapidly in development or testing environments, which increases the risk that some instances may be unintentionally exposed to the public internet.
To investigate this, we conducted favicon-based service identification searches using Criminal IP Asset Search.
Search Query: favicon: -53f5ed23
As of March 9, 2026, the analysis identified over 5,600 assets believed to be OpenClaw Control interfaces.
Many of the observed assets were directly accessible via HTTPS (port 443) from the public internet. In several cases, the management interface was hosted on common web server environments such as nginx or Apache. Additionally, many instances were found using Let's Encrypt SSL certificates, suggesting that OpenClaw services are sometimes deployed in relatively simple environments and left publicly accessible.
The geographic distribution analysis revealed exposed OpenClaw interfaces across multiple countries, with a large concentration in the United States. In such environments, attackers may first check whether the management interface responds. They may then analyze service banners or static resources to estimate the version and prioritize environments running vulnerable versions or publicly exposed management interfaces.
Management interfaces for AI agents often possess higher privileges than standard web services. Therefore, if vulnerabilities exist or authentication controls are insufficient, the potential attack impact can expand significantly.
One asset report identified via Criminal IP Asset Search showed an OpenClaw Control interface operating as an HTTPS service on TCP port 443. The service was running on an Apache 2.4.52 (Ubuntu) web server and returned HTTP 200 responses, indicating that the management interface was publicly accessible. Response header analysis revealed standard web security headers alongside server information. The Apache server version was also exposed in the banner, which may reveal configuration details to external observers.
When management interfaces are directly accessible from the internet, such information exposure can further expand the attack surface.
Recommended Mitigations and Security Measures
Mitigating OpenClaw vulnerabilities requires both patch management and exposure monitoring.
Recommended actions include:
- Update OpenClaw to the latest version containing the security patch
- Restrict external access to the OpenClaw Control interface
- Review whether development or testing environments are publicly exposed
- Continuously monitor exposed assets using tools such as Criminal IP Asset Search
Conclusion
The OpenClaw case demonstrates how AI agent security and AI agent platform security are becoming increasingly critical as AI agent attack surfaces emerge as new attack vectors. As AI-driven automation systems continue to expand, agent services should be treated like any other critical IT infrastructure. This means organizations must manage external exposure and vulnerability remediation with the same level of attention applied to traditional systems.
In relation to this, you can refer to Clawdbot / Moltbot: Security Analysis of an Autonomous AI Agent Exposure Risk.