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CVE Vulnerability Database
Vulnerability Database/CVE-2025-15237

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

CVE-2025-15237 is a path traversal flaw in QOCA aim AI Medical Cloud Platform by Quanta Computer that allows authenticated attackers to read folder names. This article covers technical details, impact, and mitigation.

Updated: January 22, 2026

CVE-2025-15237 Overview

QOCA aim AI Medical Cloud Platform developed by Quanta Computer contains a Path Traversal vulnerability that allows authenticated remote attackers to read folder names under specified paths. This Absolute Path Traversal vulnerability (CWE-36) enables malicious actors with valid credentials to enumerate directory structures on the affected system, potentially exposing sensitive organizational information about the healthcare platform's file system architecture.

Critical Impact

Authenticated attackers can enumerate folder names and directory structures on the QOCA aim AI Medical Cloud Platform, potentially revealing sensitive organizational information and enabling further reconnaissance for more severe attacks against healthcare infrastructure.

Affected Products

  • QOCA aim AI Medical Cloud Platform (Quanta Computer)

Discovery Timeline

  • January 5, 2026 - CVE-2025-15237 published to NVD
  • January 8, 2026 - Last updated in NVD database

Technical Details for CVE-2025-15237

Vulnerability Analysis

This vulnerability is classified as an Absolute Path Traversal weakness (CWE-36). The QOCA aim AI Medical Cloud Platform fails to properly validate or sanitize user-supplied path input, allowing authenticated users to traverse the file system beyond intended directories. Rather than limiting access to application-specific folders, the vulnerable component accepts absolute path references that bypass directory restrictions.

The attack can be executed remotely over the network and requires low attack complexity. Authentication is required, meaning attackers must first obtain valid credentials to the platform. The vulnerability results in unauthorized disclosure of folder name information, which while limited in direct impact, can provide valuable reconnaissance data for subsequent attacks against the healthcare platform.

Root Cause

The root cause of CVE-2025-15237 is improper input validation of path parameters within the QOCA aim AI Medical Cloud Platform. The application fails to sanitize user-controlled input that specifies file system paths, allowing attackers to inject absolute path references. Without proper canonicalization and path boundary checks, the application processes traversal sequences or absolute paths that reference directories outside the intended scope.

Attack Vector

The vulnerability is exploitable over the network by authenticated remote attackers. An attacker with valid credentials to the QOCA aim AI Medical Cloud Platform can craft malicious requests containing absolute path references. When the application processes these requests, it reveals folder names present at the specified location on the server's file system.

The attack flow typically involves:

  1. Authenticating to the QOCA aim AI Medical Cloud Platform with valid credentials
  2. Identifying the vulnerable endpoint that accepts path parameters
  3. Submitting requests with absolute path values targeting directories of interest
  4. Analyzing responses to enumerate folder names at the specified path
  5. Using gathered information for further reconnaissance or targeted attacks

This path traversal technique bypasses intended access controls by providing absolute paths rather than relative paths within the application's designated directories. For detailed technical information, see the TW-CERT Security Advisory.

Detection Methods for CVE-2025-15237

Indicators of Compromise

  • Unusual access patterns to file system enumeration endpoints from authenticated users
  • HTTP requests containing absolute path references or path traversal sequences such as /, C:\, or encoded variants
  • Repeated requests probing different directory paths in rapid succession
  • Authentication followed by suspicious file system-related API calls

Detection Strategies

  • Monitor web application logs for requests containing absolute path patterns or directory traversal indicators
  • Implement Web Application Firewall (WAF) rules to detect and block path traversal attempts
  • Review application access logs for authenticated users accessing unusual or sensitive directory listings
  • Configure intrusion detection systems to alert on path traversal attack signatures

Monitoring Recommendations

  • Enable detailed logging for all authenticated API requests to the QOCA aim platform
  • Establish baseline behavior for file system access patterns and alert on anomalies
  • Implement real-time monitoring for path manipulation attempts in request parameters
  • Regularly audit authentication logs to identify potentially compromised accounts being used for exploitation

How to Mitigate CVE-2025-15237

Immediate Actions Required

  • Review TW-CERT advisories for official vendor patches and apply updates as soon as available
  • Implement additional authentication controls and restrict access to sensitive file system endpoints
  • Deploy Web Application Firewall rules to block path traversal patterns
  • Audit user accounts and review access logs for potential exploitation attempts

Patch Information

Organizations using the QOCA aim AI Medical Cloud Platform should consult the TW-CERT Security Advisory and TW-CERT Incident Report for official remediation guidance from Quanta Computer. Apply any vendor-provided security updates promptly to address this vulnerability.

Workarounds

  • Implement strict input validation on all path parameters, rejecting absolute paths and traversal sequences
  • Configure the application to use a whitelist approach for accessible directories
  • Deploy network segmentation to limit exposure of the QOCA aim platform to trusted networks only
  • Consider implementing additional access controls requiring multi-factor authentication for sensitive operations

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

  • Vulnerability Details
  • TypePath Traversal

  • Vendor/TechQuanta Computer

  • SeverityMEDIUM

  • CVSS Score5.3

  • EPSS Probability0.04%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:N/VA:N/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
  • AvailabilityNone
  • CWE References
  • CWE-36
  • Technical References
  • TW-CERT Security Advisory

  • TW-CERT Incident Report
  • Related CVEs
  • CVE-2025-15236: QOCA aim AI Medical Cloud Path Traversal

  • 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
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