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CVE Vulnerability Database
Vulnerability Database/CVE-2025-13819

CVE-2025-13819: MiR Robot Open Redirect Vulnerability

CVE-2025-13819 is an open redirect flaw in MiR Robot and Fleet software's web server that enables attackers to redirect users to malicious sites for phishing attacks. This article covers technical details, impact, and mitigation.

Updated: January 22, 2026

CVE-2025-13819 Overview

CVE-2025-13819 is a medium-severity open redirect vulnerability (CWE-601) affecting the web server component of MiR Robot and Fleet software. This vulnerability allows a remote attacker to redirect users to arbitrary external websites via a crafted URL parameter, facilitating phishing or social engineering attacks against users interacting with the MiR robot management interface.

Open redirect vulnerabilities occur when an application accepts user-controlled input that specifies a link to an external site, and uses that link in a redirect without proper validation. In the context of industrial robotics systems like MiR, this poses significant risks as operators and administrators may trust URLs originating from their robot fleet management systems.

Critical Impact

Attackers can leverage trusted MiR Robot URLs to redirect users to malicious websites, enabling credential theft, malware distribution, and social engineering attacks against industrial operations personnel.

Affected Products

  • MiR Robot Software (Web Server Component)
  • MiR Fleet Software (Web Server Component)

Discovery Timeline

  • 2025-12-01 - CVE-2025-13819 published to NVD
  • 2025-12-01 - Last updated in NVD database

Technical Details for CVE-2025-13819

Vulnerability Analysis

This vulnerability is classified as CWE-601: URL Redirection to Untrusted Site ('Open Redirect'). The web server component of MiR Robot and Fleet software fails to properly validate URL parameters used in redirect operations, allowing attackers to craft malicious links that abuse the legitimate domain to redirect users to attacker-controlled websites.

The CVSS 3.1 score is 6.1 (Medium) with vector string CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N. This indicates:

  • Attack Vector (AV:N): Network-based exploitation
  • Attack Complexity (AC:L): Low complexity to exploit
  • Privileges Required (PR:N): No authentication required
  • User Interaction (UI:R): Requires user to click malicious link
  • Scope (S:C): Can impact resources beyond the vulnerable component
  • Confidentiality Impact (C:L): Low confidentiality impact
  • Integrity Impact (I:L): Low integrity impact
  • Availability Impact (A:N): No availability impact

The EPSS (Exploit Prediction Scoring System) data indicates a probability of 0.036% with a percentile ranking of 10.37%, suggesting relatively low current exploitation activity.

Root Cause

The root cause of this vulnerability lies in insufficient input validation within the web server's URL handling logic. When the application processes redirect requests, it does not adequately verify that the destination URL belongs to a trusted domain or follows an expected pattern. This allows attackers to inject arbitrary external URLs into redirect parameters.

The web server component likely implements redirect functionality for legitimate purposes such as authentication flows, session management, or navigation between different sections of the management interface. However, the absence of a strict allowlist or proper URL validation enables abuse of this mechanism.

Attack Vector

The attack vector is network-based and requires user interaction. An attacker crafts a URL that points to the legitimate MiR Robot or Fleet software web interface but includes a malicious redirect parameter. When a user clicks this link—perhaps received via email, embedded in a document, or posted in a communication channel—they initially connect to the trusted MiR system but are then redirected to an attacker-controlled website.

This attack is particularly effective because:

  1. The initial URL appears legitimate, originating from a trusted internal system
  2. Users may not notice the redirect, especially if the malicious site mimics the MiR interface
  3. Industrial environments often have operators who trust communications related to their robot systems
  4. The malicious site could harvest credentials by presenting a fake login page

The vulnerability is exploited by manipulating URL parameters in the web server requests. Attackers typically target redirect parameters such as url, redirect, next, return, or similar parameter names commonly used in web applications. The malicious payload would contain an external URL that the server accepts without validation. For detailed technical information, refer to the MiR Security Advisory.

Detection Methods for CVE-2025-13819

Indicators of Compromise

  • Web server access logs containing redirect parameters pointing to external domains
  • HTTP 302/301 responses redirecting to unusual or suspicious external URLs
  • User reports of unexpected redirects when accessing MiR management interfaces
  • Phishing attempts referencing MiR Robot or Fleet management systems

Detection Strategies

Organizations can implement several detection strategies to identify exploitation attempts:

Log Analysis: Review web server access logs for requests containing redirect parameters with external URLs. Look for patterns where legitimate MiR endpoints are called with suspicious redirect, url, next, or return parameters containing external domains.

Network Monitoring: Monitor outbound connections from systems that typically only communicate with the MiR robot fleet. Unexpected connections to external websites following access to MiR management interfaces may indicate exploitation.

User Awareness: Train users to recognize and report unexpected redirects when interacting with the MiR management interface. Implement procedures for reporting suspected phishing attempts related to robot fleet management.

SentinelOne Detection: SentinelOne Singularity Platform can detect suspicious network activity patterns and potential phishing attempts through behavioral analysis. The platform's network visibility capabilities help identify unusual redirect patterns and connections to known malicious domains.

Monitoring Recommendations

Organizations should implement comprehensive monitoring for their MiR Robot and Fleet software deployments:

  1. Enable detailed access logging on the MiR web server component to capture all URL parameters
  2. Configure alerting for HTTP responses containing redirects to external domains
  3. Implement URL reputation checking for any external redirects originating from the MiR interface
  4. Deploy endpoint protection on systems used to access the MiR management interface to detect follow-on attacks from phishing sites
  5. Establish baseline network behavior for MiR-related systems to identify anomalous external connections

How to Mitigate CVE-2025-13819

Immediate Actions Required

  • Review the vendor security advisory at the MiR Security Advisories page
  • Consult the MiR Cybersecurity Guide for recommended security configurations
  • Restrict network access to MiR web interfaces to trusted internal networks only
  • Educate users about the risks of clicking links to MiR systems from external sources
  • Implement network segmentation to limit exposure of robot management interfaces

Patch Information

Organizations should refer to Mobile Industrial Robots' official security advisory for patch availability and update instructions. Visit the MiR Security Advisories page for the latest patch information and detailed remediation guidance.

Contact MiR support or consult the MiR Cybersecurity Guide for comprehensive security hardening recommendations.

Workarounds

While awaiting patches, organizations can implement the following workarounds to reduce risk:

Network Access Controls: Restrict access to the MiR web interface to internal trusted networks only. This limits the attack surface by preventing external attackers from distributing malicious links that would be accessible from the internet.

Web Application Firewall (WAF): Deploy a WAF in front of the MiR web interface configured to block or sanitize redirect parameters containing external URLs.

User Training: Implement security awareness training specifically covering the risks of open redirect attacks. Instruct users to manually navigate to the MiR interface rather than clicking links in emails or messages.

URL Validation Proxy: Consider implementing a reverse proxy that validates all redirect destinations against an allowlist of trusted internal domains before allowing the redirect to proceed.

bash
# Example: Restrict MiR web interface access using iptables
# Allow access only from trusted management network (e.g., 10.0.0.0/24)
iptables -A INPUT -p tcp --dport 80 -s 10.0.0.0/24 -j ACCEPT
iptables -A INPUT -p tcp --dport 443 -s 10.0.0.0/24 -j ACCEPT
iptables -A INPUT -p tcp --dport 80 -j DROP
iptables -A INPUT -p tcp --dport 443 -j DROP

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

  • Vulnerability Details
  • TypeOther

  • Vendor/TechMir Robot

  • SeverityMEDIUM

  • CVSS Score6.1

  • EPSS Probability0.04%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityLow
  • AvailabilityNone
  • CWE References
  • CWE-601
  • Technical References
  • Mobile-industrial-robots

  • Supportportal Mobile-industrial-robots
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