CVE-2025-9229 is an information disclosure vulnerability classified under CWE-209, which pertains to the generation of error messages containing sensitive information. This vulnerability affects Mobile Industrial Robots (MiR) software versions prior to 3.0.0. Specifically, the issue arises from the error handling mechanism within the MiR software, where verbose error pages reveal detailed internal information such as file paths and potentially other sensitive data. The vulnerability is exploitable remotely without any authentication or user interaction, as indicated by the CVSS vector (AV:N/AC:L/PR:N/UI:N). An unauthenticated attacker can trigger error conditions that cause the system to return verbose error messages, thereby gaining insights into the internal structure and configuration of the robot's software environment. Although the CVSS base score is 5.3, categorizing it as medium severity, the exposure of internal paths and data can aid attackers in crafting more targeted attacks or discovering additional vulnerabilities. The vulnerability does not impact integrity or availability directly but compromises confidentiality by leaking sensitive information. There are no known exploits in the wild at the time of publication, and no patches have been linked yet, indicating that affected organizations should be vigilant and consider mitigation strategies until official fixes are available.

For European organizations deploying MiR robots in industrial or logistics environments, this vulnerability poses a risk primarily related to information disclosure. The leaked error messages can reveal internal file paths and system details that could be leveraged by attackers to map the internal architecture of the robots' control software. This reconnaissance can facilitate subsequent attacks such as privilege escalation, unauthorized access, or disruption of robotic operations. Given the increasing reliance on automation and robotics in European manufacturing, warehousing, and logistics sectors, exposure of such information could lead to targeted cyberattacks that disrupt operational continuity or compromise sensitive production data. While the vulnerability itself does not allow direct control or disruption, the information gained can lower the barrier for attackers to exploit other weaknesses. Additionally, organizations subject to strict data protection regulations like GDPR must consider the potential compliance implications of any data leakage, even if indirect. The risk is heightened in environments where MiR robots are integrated with broader industrial control systems or enterprise networks without adequate segmentation.

To mitigate this vulnerability, European organizations should: 1) Immediately assess their MiR robot deployments to identify versions prior to 3.0.0 and plan for an upgrade to the latest software version once patches are released. 2) Until official patches are available, implement network-level controls to restrict access to the MiR robot management interfaces, limiting exposure to trusted internal networks only. 3) Employ web application firewalls (WAFs) or intrusion detection/prevention systems (IDS/IPS) to detect and block suspicious requests that might trigger verbose error messages. 4) Review and harden error handling configurations if customizable, ensuring that verbose error details are suppressed in production environments. 5) Conduct regular security audits and penetration tests focusing on the MiR robot interfaces to detect any information leakage or other vulnerabilities. 6) Segment robotic systems from critical enterprise networks to contain potential breaches and minimize lateral movement. 7) Maintain robust logging and monitoring to detect unusual access patterns or exploitation attempts related to error message retrieval. These steps go beyond generic advice by focusing on immediate containment, configuration hardening, and network segmentation tailored to the operational context of MiR robots in industrial settings.