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CVE-2025-9229VulnerabilityPublished Updated

CVE-2025-9229: Mobile Industrial Robots MiR Robots · Generation of Error Message Containing Sensitive Information

Affects Mobile Industrial Robots MiR RobotsSource CVE Database V5

0

Not known to be exploited · CVSS 5.3 Medium.

Data as of 26 Oct 2026, 06:26 UTC

CVSS 3.1 base score
5.3Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.2% chance of exploitation in 30 days – higher than 20% 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 20 Aug 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 2026-10-26.

What to do

Affected software

ProductAffectedFixed in
Mobile Industrial Robots MiR RobotsAffected
  • =0
Fixed in–

AI-suggested

To mitigate CVE-2025-9229, European organizations using MiR robots should prioritize upgrading to MiR software version 3.0.0 or later once it becomes available, as this version addresses the vulnerability by improving error handling and suppressing sensitive information in error messages. Until the patch is applied, organizations should restrict network access to robot management interfaces by implementing network segmentation and firewall rules that limit access to trusted administrators only. Employing VPNs or secure tunnels for remote management can further reduce exposure. Monitoring network traffic for unusual access patterns to robot interfaces can help detect reconnaissance attempts. Additionally, reviewing and hardening error handling configurations, if possible, to minimize verbose error outputs is recommended. Organizations should also ensure that their incident response teams are aware of this vulnerability and prepared to investigate any suspicious activity related to MiR robots. Finally, maintaining an up-to-date asset inventory and vulnerability management program will help track affected devices and ensure timely remediation.

Description

Information disclosure vulnerability in error handling in MiR software prior to version 3.0.0 allows unauthenticated attackers to view detailed error information, such as file paths and other data, via access to verbose error pages.

References

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