CVE-2025-3466 is a critical vulnerability affecting langgenius/dify versions 1.1.0 through 1.1.2. The root cause lies in insufficient isolation of system-dependent functions within the JavaScript execution environment of the product's code node. Specifically, the vulnerability allows an attacker to override global JavaScript functions such as parseInt before sandbox security restrictions are applied. This flaw enables execution of arbitrary code with full root privileges, bypassing intended sandbox protections. An attacker exploiting this vulnerability can gain unauthorized access to sensitive information including secret keys and internal network servers. Furthermore, the attacker can perform lateral movement within the dify.ai infrastructure, potentially compromising additional systems and escalating the scope of the breach. The vulnerability is categorized under CWE-1100, which relates to insufficient isolation of system-dependent functions, highlighting a failure to properly segregate and secure critical runtime components. The issue has been addressed in langgenius/dify version 1.1.3, which implements appropriate sandboxing and input sanitization to prevent function overrides prior to security enforcement. The CVSS v3.0 score of 9.8 reflects the vulnerability's high impact on confidentiality, integrity, and availability, combined with its ease of remote exploitation without authentication or user interaction.

For European organizations using langgenius/dify versions 1.1.0 to 1.1.2, this vulnerability poses a severe risk. The ability to execute arbitrary code with root privileges can lead to full system compromise, data exfiltration, and disruption of services. Organizations handling sensitive data, including personal data protected under GDPR, intellectual property, or critical infrastructure information, face significant confidentiality breaches. The lateral movement capability increases the risk of widespread network compromise, potentially affecting multiple departments or subsidiaries. Additionally, unauthorized access to secret keys could undermine cryptographic protections and secure communications. The disruption of availability through root-level control could lead to operational downtime, impacting business continuity. Given the critical severity and the lack of required authentication or user interaction, attackers can remotely exploit this vulnerability at scale, increasing the threat landscape for European enterprises relying on this software.

European organizations should immediately assess their use of langgenius/dify and identify any deployments running vulnerable versions (1.1.0 to 1.1.2). The primary mitigation is to upgrade all instances to version 1.1.3 or later, where the vulnerability is patched. Until upgrades can be completed, organizations should restrict network access to the affected services, applying strict firewall rules and network segmentation to limit exposure. Employ runtime application self-protection (RASP) or host-based intrusion detection systems (HIDS) to monitor for anomalous code execution or privilege escalations. Conduct thorough code audits and penetration testing focused on sandbox escape attempts and function override exploits. Additionally, rotate any secret keys or credentials that may have been exposed due to this vulnerability. Implement strict input validation and sandboxing policies for any custom code nodes or scripts integrated with langgenius/dify. Finally, maintain vigilant monitoring of logs and network traffic for signs of lateral movement or unauthorized access within the dify.ai environment.