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CVE-2025-9229: CWE-209 Generation of Error Message Containing Sensitive Information in Mobile Industrial Robots MiR Robots

0
Medium
VulnerabilityCVE-2025-9229cvecve-2025-9229cwe-209
Published: Wed Aug 20 2025 (08/20/2025, 08:36:57 UTC)
Source: CVE Database V5
Vendor/Project: Mobile Industrial Robots
Product: MiR Robots

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.

AI-Powered Analysis

AILast updated: 11/05/2025, 15:37:40 UTC

Technical Analysis

CVE-2025-9229 is an information disclosure vulnerability classified under CWE-209, which involves the generation of error messages containing sensitive information. This vulnerability exists in Mobile Industrial Robots (MiR) software versions prior to 3.0.0. Specifically, the issue arises from the error handling mechanism that produces verbose error pages accessible without authentication. These error pages expose detailed internal information such as file paths and potentially other sensitive data that could assist attackers in mapping the system or identifying further weaknesses. The vulnerability is remotely exploitable over the network without requiring any privileges or user interaction, as indicated by the CVSS vector (AV:N/AC:L/PR:N/UI:N). The CVSS score of 5.3 reflects a medium severity, primarily due to the confidentiality impact, while integrity and availability remain unaffected. Although no exploits have been reported in the wild, the disclosed information could facilitate reconnaissance and subsequent targeted attacks against MiR robots. MiR robots are widely used in industrial automation, logistics, and manufacturing settings, where they perform autonomous material handling tasks. The exposure of internal system details could enable attackers to craft more effective attacks, potentially leading to operational disruptions or unauthorized access in complex industrial environments.

Potential Impact

For European organizations, the impact of CVE-2025-9229 centers on the potential leakage of sensitive internal information from MiR robots used in industrial and logistics operations. While the vulnerability does not directly compromise system integrity or availability, the disclosed information such as file paths can help attackers identify system architecture, software versions, and potential further vulnerabilities. This reconnaissance advantage could lead to more sophisticated attacks, including unauthorized access or disruption of robotic operations. Given the increasing reliance on automation and robotics in European manufacturing and logistics sectors, exploitation could affect operational efficiency and safety. Additionally, organizations handling sensitive or proprietary manufacturing processes may face confidentiality risks. The lack of authentication requirements increases the risk surface, as attackers can probe exposed interfaces remotely. However, the absence of known exploits in the wild suggests that immediate risk is moderate but should not be underestimated, especially as attackers often leverage such information disclosures as initial steps in multi-stage attacks.

Mitigation Recommendations

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.

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Technical Details

Data Version
5.1
Assigner Short Name
TRO
Date Reserved
2025-08-20T08:29:15.175Z
Cvss Version
3.1
State
PUBLISHED

Threat ID: 68a58bb3ad5a09ad00033816

Added to database: 8/20/2025, 8:47:47 AM

Last enriched: 11/5/2025, 3:37:40 PM

Last updated: 11/21/2025, 8:48:34 AM

Views: 57

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