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If a user tries to login but the provided credentials are incorrect a log is created. The data for this POST requests is not validated and it’s possible to send giant payloads which are then logged.

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.

Detailed information about CVE-2025-58582: CWE-770 Allocation of Resources Without Limits or Throttling in SICK AG SICK affecting SICK AG SICK. Get real-time up

CVE-2025-58582: CWE-770 Allocation of Resources Without Limits or Throttling in SICK AG SICK - Live Threat Intelligence - Threat Radar | OffSeq.com

CVE-2025-58582: CWE-770 Allocation of Resources Without Limits or Throttling in SICK AG Enterprise Analytics

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