CVE-2025-49190 is a Server-Side Request Forgery (SSRF) vulnerability identified in all versions of SICK AG's SICK Field Analytics product. SSRF vulnerabilities occur when an attacker can abuse a server-side application to send crafted requests from the vulnerable server to internal or external systems. In this case, the vulnerability allows an attacker to leverage an exposed endpoint within the SICK Field Analytics application to initiate requests to arbitrary ports on internal network hosts. This can enable attackers to scan internal services, access sensitive internal resources, or potentially exploit other vulnerabilities on internal systems that are not directly accessible from the internet. The vulnerability has a CVSS 3.1 base score of 4.3, indicating a medium severity level. The vector string (AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N) shows that the attack can be performed remotely over the network with low attack complexity, requires low privileges (authenticated user), does not require user interaction, and impacts confidentiality with limited impact on integrity and availability. No known exploits are currently reported in the wild, and no patches have been published yet. The vulnerability is classified under CWE-918, which specifically relates to SSRF issues. Given that SICK Field Analytics is an industrial analytics platform often used in manufacturing and industrial automation environments, the SSRF vulnerability could be leveraged to pivot into internal operational technology (OT) networks or to access sensitive analytics data, potentially leading to information disclosure or further compromise within industrial control systems (ICS).

For European organizations, particularly those in manufacturing, industrial automation, and critical infrastructure sectors, this SSRF vulnerability poses a significant risk. SICK AG is a well-known German company specializing in sensor intelligence and industrial automation solutions, and its products are widely deployed across Europe, especially in Germany, France, Italy, and the Benelux countries. Exploitation of this vulnerability could allow attackers to bypass perimeter defenses and access internal networks that are otherwise isolated, potentially leading to unauthorized disclosure of sensitive operational data or reconnaissance for further attacks. While the immediate impact on integrity and availability is low, the confidentiality breach could expose proprietary analytics data or internal network topology. Additionally, SSRF can be a stepping stone for more severe attacks if combined with other vulnerabilities in internal systems. Given the strategic importance of industrial automation in European manufacturing and critical infrastructure, successful exploitation could disrupt production processes or compromise safety systems indirectly. The requirement for low privileges means that insider threats or compromised user credentials could be leveraged to exploit this vulnerability, increasing the attack surface. The lack of patches and absence of known exploits in the wild currently reduce immediate risk but also highlight the need for proactive mitigation before exploitation becomes widespread.

Implement strict input validation and sanitization on the vulnerable endpoint to ensure that only legitimate and authorized requests are processed, effectively blocking attempts to access internal IP ranges or non-approved ports. Apply network segmentation and firewall rules to restrict the SICK Field Analytics server's ability to initiate outbound connections to internal services that are not necessary for its operation, minimizing the SSRF attack surface. Enforce the principle of least privilege by limiting user roles and permissions within the SICK Field Analytics application, ensuring that only trusted users with a genuine need can access the vulnerable functionality. Monitor and log all outbound requests initiated by the SICK Field Analytics server to detect unusual or unauthorized internal network scanning or access attempts. Engage with SICK AG to obtain timely patches or updates addressing this vulnerability and plan for rapid deployment once available. Conduct internal security assessments and penetration tests focusing on SSRF and lateral movement risks within industrial networks to identify and remediate related weaknesses. Implement multi-factor authentication (MFA) for user access to reduce the risk of credential compromise that could facilitate exploitation. Use web application firewalls (WAFs) with custom rules to detect and block SSRF attack patterns targeting the vulnerable endpoint.