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VulnerabilityPublished

CVE-2025-58583: SICK Enterprise Analytics · Exposure of Sensitive System Information to an Unauthorized Control Sphere

Affects SICK Enterprise AnalyticsSource CVE Database V5

0

Not known to be exploited · CVSS 5.3 Medium.

Data as of 26 Oct 2026, 10:12 UTC

CVSS 3.1 base score
5.3Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.3% chance of exploitation in 30 days – higher than 29% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 6 Oct 2025

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

What to do

Affected software

ProductAffectedFixed in
SICK AG Enterprise AnalyticsAffected
  • *
Fixed in–

AI-suggested

To mitigate this vulnerability, European organizations should immediately restrict network access to the H2 database interface used by Enterprise Analytics, ensuring it is accessible only from trusted internal systems. Implement strict firewall rules and network segmentation to isolate the database from external or less trusted networks. Monitor logs for any unauthorized access attempts to the H2 database login interface. Disable or remove any unnecessary services or interfaces that expose sensitive information. Engage with SICK AG to obtain updates on patches or security advisories and apply them promptly once available. Additionally, conduct regular security assessments of the Enterprise Analytics deployment to identify and remediate any other potential information disclosure issues. Employ intrusion detection systems to alert on anomalous access patterns targeting the database interface. Finally, educate relevant personnel about the risks associated with exposed system information and enforce strong credential management policies.

Description

The application provides access to a login protected H2 database for caching purposes. The username is prefilled.

References

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