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CVE Vulnerability Database
Vulnerability Database/CVE-2025-15240

CVE-2025-15240: QOCA aim AI Medical Cloud Platform RCE

CVE-2025-15240 is a remote code execution vulnerability in QOCA aim AI Medical Cloud Platform that allows authenticated attackers to upload web shell backdoors. This post covers the technical details, impact, and mitigation.

Updated: January 22, 2026

CVE-2025-15240 Overview

CVE-2025-15240 is an Arbitrary File Upload vulnerability affecting the QOCA aim AI Medical Cloud Platform developed by Quanta Computer. This vulnerability allows authenticated remote attackers to upload and execute web shell backdoors on vulnerable servers, ultimately enabling arbitrary code execution. The flaw stems from improper validation of uploaded files (CWE-434), which permits malicious actors to bypass security controls and deploy persistent backdoors within the healthcare cloud infrastructure.

Critical Impact

Authenticated attackers can upload web shells to execute arbitrary code on servers hosting sensitive medical data, potentially compromising patient information and healthcare operations.

Affected Products

  • QOCA aim AI Medical Cloud Platform (Quanta Computer)

Discovery Timeline

  • 2026-01-05 - CVE-2025-15240 published to NVD
  • 2026-01-08 - Last updated in NVD database

Technical Details for CVE-2025-15240

Vulnerability Analysis

This vulnerability is classified as CWE-434: Unrestricted Upload of File with Dangerous Type. The QOCA aim AI Medical Cloud Platform fails to properly validate file types, extensions, or content during the upload process. When authenticated users submit files to the platform, the application does not enforce adequate restrictions on what file types can be uploaded or where they are stored.

The network-accessible attack vector combined with low attack complexity makes this vulnerability particularly concerning for healthcare environments. An attacker who has obtained valid credentials can exploit this flaw without requiring any user interaction, making it suitable for automated attacks once initial access is established.

Root Cause

The root cause of this vulnerability lies in insufficient input validation during the file upload process. The application fails to implement proper security controls including:

  • File type verification (both extension and MIME type checking)
  • Content validation to ensure uploaded files match their declared type
  • Proper storage location separation to prevent execution of uploaded files
  • Server-side validation that cannot be bypassed through client-side manipulation

Without these controls, the platform accepts potentially dangerous file types such as PHP, JSP, ASPX, or other server-side script files that can be executed directly by the web server.

Attack Vector

The attack leverages the network-accessible file upload functionality to deploy malicious web shells. An authenticated attacker can craft a request containing a web shell disguised with an innocuous filename or extension, bypassing any client-side validation. Once uploaded to a web-accessible directory, the attacker can directly access the web shell via its URL, gaining the ability to execute arbitrary commands on the underlying server.

This exploitation technique is particularly dangerous in medical cloud platforms where servers may contain sensitive patient health information (PHI), medical imaging data, and critical healthcare system configurations. The ability to execute arbitrary code can lead to data exfiltration, ransomware deployment, or lateral movement within the healthcare network.

Detection Methods for CVE-2025-15240

Indicators of Compromise

  • Unusual file uploads with executable extensions (.php, .jsp, .aspx, .sh) in web-accessible directories
  • Web shell signatures in uploaded files (common patterns include eval(), exec(), system(), passthru() functions)
  • Unexpected HTTP requests to newly created files in upload directories
  • Anomalous outbound connections from web servers following file upload activities

Detection Strategies

  • Implement file integrity monitoring (FIM) on web-accessible upload directories to detect unauthorized file additions
  • Deploy web application firewall (WAF) rules to inspect file upload requests for malicious content
  • Configure intrusion detection systems (IDS) to alert on known web shell signatures and suspicious file naming patterns
  • Monitor authentication logs for unusual login patterns that may indicate credential compromise preceding exploitation

Monitoring Recommendations

  • Enable verbose logging for all file upload operations including source IP, authenticated user, filename, and file size
  • Implement real-time alerting for any executable file uploads to production systems
  • Correlate file upload events with subsequent unusual process execution or network activity on web servers
  • Review access logs for direct requests to files in upload directories that should not normally be web-accessible

How to Mitigate CVE-2025-15240

Immediate Actions Required

  • Restrict file upload functionality to only explicitly allowed file types using server-side validation
  • Implement content-type verification that examines actual file content, not just extensions
  • Store uploaded files outside of web-accessible directories and serve them through a controlled handler
  • Apply principle of least privilege to ensure web server processes cannot execute files from upload directories
  • Review and audit all existing uploaded files for potential web shells

Patch Information

Organizations using the QOCA aim AI Medical Cloud Platform should consult the TWCERT Security Advisory (English) or the TWCERT Security Advisory (Chinese) for official vendor guidance and available patches. Contact Quanta Computer support directly to obtain the latest security updates addressing this vulnerability.

Workarounds

  • Disable or restrict file upload functionality until a patch is available
  • Implement strict web application firewall rules to block requests containing web shell patterns
  • Configure the web server to prevent execution of scripts in upload directories through .htaccess or equivalent configuration
  • Deploy application-level controls to whitelist only specific, validated file types (e.g., images, PDFs)
  • Implement additional authentication requirements for file upload functionality
bash
# Example Apache configuration to prevent script execution in upload directories
<Directory "/var/www/html/uploads">
    # Disable script execution
    Options -ExecCGI -Indexes
    
    # Prevent PHP execution
    php_admin_flag engine off
    
    # Only allow specific safe file types
    <FilesMatch "\.(?!(jpg|jpeg|png|gif|pdf)$)[^.]*$">
        Require all denied
    </FilesMatch>
</Directory>

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

  • Vulnerability Details
  • TypeRCE

  • Vendor/TechQuanta Computer

  • SeverityHIGH

  • CVSS Score8.7

  • EPSS Probability0.21%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityHigh
  • CWE References
  • CWE-434
  • Technical References
  • TWCERT Security Advisory

  • TWCERT Security Advisory
  • Related CVEs
  • CVE-2025-15239: QOCA aim AI Medical Cloud SQL Injection

  • CVE-2025-15238: QOCA aim AI Medical Cloud SQL Injection

  • CVE-2025-15235: QOCA aim AI Platform Auth Bypass Flaw

  • CVE-2025-15237: QOCA aim AI Medical Cloud Path Traversal
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