CVE-2025-58582 is a vulnerability classified under CWE-770, which involves allocation of resources without proper limits or throttling. The issue exists in SICK AG's Enterprise Analytics product across all versions. When a user attempts to log in with incorrect credentials, the system logs the POST request data. However, the application fails to validate or limit the size of this data, allowing an attacker to send extremely large payloads. These oversized payloads are then logged, potentially consuming excessive disk space, memory, or CPU resources. This can degrade system performance or cause denial of service conditions by exhausting logging infrastructure or related resources. The vulnerability is remotely exploitable without authentication or user interaction, as it occurs during login attempts. The CVSS v3.1 base score is 5.3 (medium severity), reflecting the network attack vector, low complexity, no privileges required, no user interaction, and impact limited to availability (no confidentiality or integrity impact). No patches or known exploits have been reported at the time of publication. This vulnerability highlights the importance of input validation and resource management in logging mechanisms to prevent resource exhaustion attacks.

For European organizations deploying SICK AG's Enterprise Analytics, this vulnerability poses a risk of denial of service through resource exhaustion. Attackers can remotely send large payloads during failed login attempts, causing excessive logging and potential system slowdown or crashes. This can disrupt analytics operations critical for industrial automation, manufacturing, or logistics sectors where SICK products are commonly used. The impact is primarily on availability, potentially leading to downtime or degraded service quality. While no direct confidentiality or integrity compromise is indicated, operational disruptions can have cascading effects on business processes and safety monitoring. Organizations with high reliance on SICK analytics for real-time decision-making or compliance reporting may face significant operational risks. Additionally, the lack of authentication requirement broadens the attack surface, allowing external threat actors to exploit the vulnerability without insider access.

To mitigate CVE-2025-58582, organizations should implement strict input validation on all login-related POST requests to enforce size limits on payloads before logging. Configuring logging systems to impose maximum log entry sizes and employing log rotation and archival policies can prevent resource exhaustion. Network-level protections such as rate limiting and web application firewalls (WAFs) can help detect and block abnormal login attempts with oversized payloads. Monitoring logs for unusual patterns of failed login attempts with large payloads can provide early warning of exploitation attempts. If possible, update or patch the SICK Enterprise Analytics product once vendor fixes become available. Until patches are released, consider isolating the affected service or limiting access to trusted networks. Regularly review and test logging infrastructure capacity and resilience to ensure it can handle unexpected input volumes without impacting system availability.