CVE-2025-37734 is a vulnerability identified in Elastic Kibana, specifically affecting versions 8.12.0, 9.1.0, and 9.2.0. The issue arises from improper origin validation (CWE-346) in the Observability AI Assistant component, which processes HTTP requests containing an Origin header. An attacker with low privileges can craft a malicious Origin header that bypasses validation checks, enabling Server-Side Request Forgery (SSRF). SSRF vulnerabilities allow attackers to make requests from the vulnerable server to internal or external resources that may not be directly accessible otherwise. In this case, the attacker can leverage Kibana’s AI assistant to send unauthorized requests, potentially accessing internal services or metadata endpoints. The vulnerability does not require user interaction and does not directly compromise confidentiality or availability but can affect data integrity by enabling unauthorized internal requests. The CVSS v3.1 score of 4.3 (medium severity) reflects the network attack vector, low attack complexity, required privileges, and no user interaction. No public exploits or active exploitation have been reported to date. The lack of available patches at the time of publication suggests that organizations should monitor Elastic’s advisories closely. The vulnerability highlights the importance of strict origin validation in web applications, especially those exposing AI or automation features that process HTTP headers.

For European organizations, the SSRF vulnerability in Kibana’s Observability AI Assistant could allow attackers to pivot from a compromised or low-privilege Kibana user account to internal network resources. This could lead to reconnaissance of internal services, access to sensitive metadata endpoints (e.g., cloud provider metadata), or indirect attacks on internal infrastructure. While it does not directly expose confidential data or cause service outages, the integrity of internal network communications and trust boundaries could be undermined. Organizations relying heavily on Kibana for monitoring and observability, especially in sectors like finance, energy, and critical infrastructure, could face increased risk of lateral movement or targeted internal attacks. The medium severity rating indicates that while the vulnerability is not immediately critical, it could be a stepping stone in a more complex attack chain. The absence of known exploits reduces immediate risk but should not lead to complacency.

1. Monitor Elastic’s official channels for patches addressing CVE-2025-37734 and apply updates promptly once available. 2. Implement strict validation and filtering of HTTP Origin headers at the application or reverse proxy level to prevent forged headers from reaching Kibana. 3. Restrict Kibana’s network access to only necessary internal resources, using network segmentation and firewall rules to limit SSRF impact. 4. Disable or restrict the Observability AI Assistant feature if it is not essential to reduce the attack surface. 5. Conduct internal security reviews and penetration tests focusing on SSRF vectors within Kibana deployments. 6. Employ runtime application self-protection (RASP) or web application firewalls (WAF) capable of detecting and blocking SSRF attempts. 7. Educate administrators and users about the risks of SSRF and the importance of least privilege access to Kibana. 8. Audit Kibana logs for suspicious requests containing unusual Origin headers or unexpected internal requests.