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

CVE-2025-15235 Overview

CVE-2025-15235 is a Missing Authorization vulnerability (CWE-862) affecting the QOCA aim AI Medical Cloud Platform developed by Quanta Computer. This security flaw allows authenticated remote attackers to modify specific network packet parameters, enabling certain system functions to access other users' files. The vulnerability represents a significant broken access control issue in a healthcare AI platform where unauthorized access to patient data could have severe privacy and compliance implications.

Critical Impact

Authenticated attackers can bypass authorization controls to access files belonging to other users in this medical cloud platform, potentially exposing sensitive healthcare data.

Affected Products

• QOCA aim AI Medical Cloud Platform (Quanta Computer)

Discovery Timeline

• 2026-01-05 - CVE-2025-15235 published to NVD
• 2026-01-08 - Last updated in NVD database

Technical Details for CVE-2025-15235

Vulnerability Analysis

This Missing Authorization vulnerability (CWE-862) exists within the QOCA aim AI Medical Cloud Platform's file access control mechanisms. The core issue stems from inadequate authorization checks when processing network requests that reference user files. An authenticated attacker can manipulate specific network packet parameters to circumvent the platform's access control logic and gain unauthorized access to files owned by other users.

The vulnerability is exploitable over the network without user interaction, though it requires the attacker to have valid authentication credentials to the platform. This reduces the attack surface somewhat but still presents a significant risk in multi-tenant healthcare environments where multiple organizations or practitioners may share the same platform infrastructure.

Root Cause

The root cause of CVE-2025-15235 is the absence of proper authorization validation when certain system functions process file access requests. The application fails to verify that the authenticated user has appropriate permissions to access the requested resources before fulfilling the request. This represents a classic Insecure Direct Object Reference (IDOR) pattern where user-controllable parameters directly reference internal objects without proper access control enforcement.

Attack Vector

The attack vector for this vulnerability involves an authenticated remote attacker manipulating network packet parameters during file access operations. By modifying identifiers or path references within API requests, the attacker can trick the system into returning files that belong to other users. The network-accessible nature of the platform means this attack can be executed remotely by any authenticated user with malicious intent.

The exploitation flow typically involves:

1. Authenticating to the QOCA aim platform with valid credentials
2. Initiating a legitimate file access request
3. Intercepting and modifying the request parameters to reference another user's file identifiers
4. Receiving unauthorized access to the target user's files

Detection Methods for CVE-2025-15235

Indicators of Compromise

• Unusual file access patterns where users are accessing resources outside their normal scope
• API requests with modified or sequential object identifiers attempting to enumerate user files
• Elevated volume of file access requests from a single authenticated session
• Access log entries showing successful file retrievals for resources not assigned to the requesting user

Detection Strategies

• Implement monitoring for authorization bypass attempts by correlating file access requests with user permission assignments
• Deploy web application firewall (WAF) rules to detect parameter manipulation patterns in file access APIs
• Enable detailed audit logging on file access operations with user context and requested resource identifiers
• Use behavioral analytics to identify anomalous file access patterns that deviate from normal user behavior

Monitoring Recommendations

• Monitor authentication logs for accounts making unusual volumes of file access requests
• Track API endpoint access patterns specifically for file retrieval operations
• Implement real-time alerting for access control violations or authorization failures
• Review audit logs regularly for evidence of horizontal privilege escalation attempts

How to Mitigate CVE-2025-15235

Immediate Actions Required

• Review the TWCert Security Announcement for official guidance from the security advisory source
• Audit current user file access patterns to identify any potential exploitation
• Implement additional authorization checks at the application layer for file access operations
• Consider temporarily restricting file sharing functionality until a patch is applied
• Notify affected users and compliance officers of the potential unauthorized access risk

Patch Information

Organizations using the QOCA aim AI Medical Cloud Platform should consult the official security advisories from TWCert for patch availability and remediation guidance. Contact Quanta Computer directly for specific patch information and updated software versions that address this authorization bypass vulnerability.

For additional details, refer to:

• TWCert Security Announcement (English)
• TWCert Security Notification (Chinese)

Workarounds

• Implement network segmentation to limit exposure of the affected platform
• Enable enhanced audit logging to detect and respond to unauthorized access attempts
• Apply the principle of least privilege to all user accounts on the platform
• Consider implementing additional authentication factors for sensitive file access operations
• Deploy application-level access control lists to supplement the platform's native authorization mechanisms