CVE-2025-8749 is a path traversal vulnerability identified in Mobile Industrial Robots (MiR) software versions prior to 3.0.0. This vulnerability exists in an API endpoint of the MiR Robots, which are autonomous mobile robots commonly used in industrial and manufacturing environments for material transport and logistics automation. The flaw is categorized under CWE-22, indicating improper limitation of a pathname to a restricted directory. Specifically, authenticated users can craft malicious API requests that exploit insufficient validation of file path inputs, allowing them to traverse directories outside the intended scope and extract arbitrary files from the robot's file system. The vulnerability does not require user interaction beyond authentication but does require valid credentials, which implies that an attacker must have some level of access to the robot's API. The CVSS v3.1 base score is 6.5 (medium severity), reflecting a network attack vector with low complexity, requiring privileges but no user interaction, and resulting in high confidentiality impact without affecting integrity or availability. No known exploits are currently reported in the wild, and no patches have been linked yet. However, the ability to read arbitrary files can expose sensitive configuration files, credentials, or operational data, potentially enabling further attacks or espionage within industrial environments.

For European organizations deploying MiR Robots in manufacturing, logistics, or warehouse automation, this vulnerability poses a significant risk to confidentiality. Unauthorized extraction of files could lead to exposure of sensitive operational data, intellectual property, or credentials used within the robotic systems or connected networks. Such data leakage could facilitate lateral movement or sabotage by adversaries, especially in critical infrastructure or high-value industrial sectors prevalent in Europe. While the vulnerability does not directly impact system integrity or availability, the confidentiality breach alone can have severe operational and reputational consequences. Given the increasing adoption of automation in European industries, exploitation could disrupt supply chains or compromise compliance with data protection regulations such as GDPR if personal or sensitive data is involved. The requirement for authentication limits exposure to insiders or attackers who have gained initial access, but this does not eliminate risk, as credential compromise or insider threats remain realistic scenarios.

European organizations should prioritize upgrading MiR Robots to version 3.0.0 or later once available, as this will likely include a fix for the vulnerability. Until patches are released, organizations should implement strict access controls on the robot API, ensuring that only trusted and minimal-privilege users can authenticate. Network segmentation should isolate MiR Robots from broader enterprise networks to reduce attack surface and prevent lateral movement. Monitoring and logging API access for unusual file access patterns can help detect exploitation attempts. Additionally, organizations should enforce strong credential management policies, including multi-factor authentication where possible, to reduce the risk of credential compromise. If feasible, deploying Web Application Firewalls (WAFs) or API gateways with input validation rules to block suspicious path traversal patterns can provide an additional layer of defense. Finally, conducting regular security assessments and penetration tests focused on robotic and IoT systems will help identify and remediate similar vulnerabilities proactively.