CVE-2025-13819 is classified as a CWE-601 'URL Redirection to Untrusted Site' vulnerability found in the web server component of MiR Robot and Fleet software. This vulnerability enables a remote attacker to craft a malicious URL containing a redirect parameter that causes the application to redirect users to arbitrary external websites. The flaw arises because the software does not properly validate or restrict the redirect destination, allowing attackers to exploit this behavior for phishing or social engineering attacks by luring users into clicking on seemingly legitimate URLs that lead to malicious sites. The vulnerability is remotely exploitable over the network without requiring any authentication, but it does require user interaction, such as clicking on a crafted link. The CVSS v3.1 base score is 6.1, indicating a medium severity level, with attack vector network (AV:N), low attack complexity (AC:L), no privileges required (PR:N), user interaction required (UI:R), scope changed (S:C), and impacts on confidentiality and integrity rated low (C:L/I:L) but no impact on availability (A:N). Although no known exploits are currently reported in the wild, the vulnerability poses a risk especially in environments where MiR Robot and Fleet software are used to manage autonomous mobile robots in industrial or logistics settings. The open redirect can be leveraged to bypass security controls, trick users into divulging credentials, or deliver malware payloads through social engineering techniques. Since the affected product is specialized robotics software, the attack surface is limited to organizations deploying these systems. However, the impact on trust and potential for targeted phishing campaigns is significant, particularly in sectors relying heavily on automation and robotics.

For European organizations, the primary impact of CVE-2025-13819 lies in the increased risk of phishing and social engineering attacks that could compromise user credentials or lead to malware infections. Organizations using MiR Robot and Fleet software in logistics, manufacturing, or warehouse automation may see attackers exploit this vulnerability to redirect employees or partners to malicious websites. This could result in unauthorized access to internal systems if credentials are stolen or malware is introduced. While the vulnerability does not directly affect the availability or operational integrity of the robotic systems, the indirect consequences of successful phishing attacks could disrupt business processes or lead to data breaches. The medium severity rating reflects that the vulnerability does not allow direct system compromise but can facilitate attacks that degrade confidentiality and integrity. European companies with integrated robotic fleets may face reputational damage and operational risks if attackers leverage this vulnerability in targeted campaigns. Additionally, the cross-site redirection could be used to bypass some web filtering or security controls, increasing the attack surface.

To mitigate CVE-2025-13819, organizations should implement strict validation and sanitization of all URL redirect parameters within the MiR Robot and Fleet software environment. This includes whitelisting allowed redirect destinations or using relative paths instead of full URLs to prevent redirection to external sites. If vendor patches become available, they should be applied promptly. In the absence of patches, network-level controls such as web proxies or URL filtering can block access to known malicious domains and suspicious redirect URLs. Security awareness training should be enhanced to educate users about the risks of clicking on unexpected or suspicious links, especially those related to robotic fleet management interfaces. Monitoring and logging of web server access to detect unusual redirect patterns or spikes in redirect requests can help identify exploitation attempts. Additionally, organizations should consider isolating the robotic fleet management interfaces from general user networks to reduce exposure. Incident response plans should include procedures for phishing and social engineering attacks leveraging this vulnerability.