CVE-2025-58580 is a vulnerability identified in SICK AG's Enterprise Analytics product affecting all versions. The issue stems from improper output neutralization for logs (CWE-117), where an API endpoint accepts POST requests that allow arbitrary log entries to be created without sufficient input validation or sanitization. This flaw enables an attacker to inject manipulated log entries, which can falsify or dilute the logs. Such manipulation can hinder incident response and forensic investigations by obscuring malicious activities or generating misleading log data. The vulnerability has a CVSS 3.1 base score of 6.5, indicating a medium severity level. It is remotely exploitable without requiring authentication or user interaction, increasing its risk profile. Although no exploits have been reported in the wild, the vulnerability poses a significant threat to the integrity and availability of logging mechanisms. Since logging is crucial for security monitoring, this vulnerability could indirectly facilitate further attacks by impairing detection capabilities. The lack of patches at the time of publication necessitates immediate mitigation through input validation and monitoring.

For European organizations, especially those in industrial automation, manufacturing, and critical infrastructure sectors that rely on SICK AG's Enterprise Analytics, this vulnerability can compromise the integrity and reliability of security logs. Manipulated logs can lead to missed detection of intrusions or operational anomalies, increasing the risk of prolonged undetected attacks or operational failures. The dilution or falsification of logs can also undermine compliance with regulatory requirements such as GDPR and NIS Directive, which mandate accurate logging and incident reporting. Additionally, the availability of logging services could be impacted if log injection leads to log flooding or resource exhaustion. This can degrade operational visibility and delay incident response, potentially causing financial and reputational damage. The vulnerability's remote exploitability without authentication further elevates the risk for organizations with exposed or poorly segmented Enterprise Analytics API endpoints.

European organizations using SICK Enterprise Analytics should implement strict input validation and sanitization on all API endpoints that accept log data to prevent injection of malicious entries. Employing allowlists for expected input formats and escaping or encoding special characters before logging can mitigate CWE-117 risks. Network segmentation and restricting API access to trusted internal networks can reduce exposure. Continuous monitoring and alerting on anomalous log patterns or unexpected log entries can help detect exploitation attempts early. Organizations should engage with SICK AG for patches or updates and apply them promptly once available. Additionally, implementing immutable or append-only logging mechanisms and integrating logs with centralized security information and event management (SIEM) systems can enhance log integrity. Regular audits of log data and validation of logging infrastructure should be part of security hygiene. Finally, documenting and rehearsing incident response plans that consider log manipulation scenarios will improve resilience.