CVE-2025-15236: CWE-36 Absolute Path Traversal in Quanta Computer QOCA aim AI Medical Cloud Platform
QOCA aim AI Medical Cloud Platform developed by Quanta Computer has a Path Traversal vulnerability, allowing authenticated remote attackers to read folder names under the specified path by exploiting an Absolute Path Traversal vulnerability.
AI Analysis
Technical Summary
CVE-2025-15236 identifies an Absolute Path Traversal vulnerability (CWE-36) in the QOCA aim AI Medical Cloud Platform developed by Quanta Computer. This vulnerability allows an authenticated remote attacker to manipulate file path inputs to access folder names outside the intended directory scope. The flaw arises due to insufficient validation or sanitization of user-supplied file path parameters, enabling traversal sequences (e.g., '../') to navigate the file system hierarchy. The attacker can enumerate folder names under arbitrary paths, potentially revealing sensitive directory structures or configuration files. The vulnerability requires valid user credentials (low privilege) but does not require additional user interaction, making exploitation feasible once authenticated. The CVSS 4.0 vector indicates network attack vector (AV:N), low attack complexity (AC:L), no privileges required (PR:L), no user interaction (UI:N), and low impact on confidentiality (VC:L), with no impact on integrity or availability. No patches or known exploits are currently available, and the affected version is listed as '0', possibly indicating an initial or early release version. This vulnerability is particularly concerning in a medical cloud platform context, where directory information disclosure can facilitate further targeted attacks or data exfiltration attempts.
Potential Impact
For European organizations, particularly healthcare providers and medical research institutions using the QOCA aim AI Medical Cloud Platform, this vulnerability poses a risk to confidentiality by exposing directory structures and potentially sensitive metadata. While the vulnerability does not directly allow data modification or system disruption, the disclosed folder information could be leveraged by attackers to identify critical files or configurations, increasing the risk of subsequent exploitation such as privilege escalation or data breaches. Given the sensitive nature of medical data and strict regulatory requirements under GDPR, even indirect information disclosure can have significant compliance and reputational consequences. The requirement for authentication limits exposure to internal or compromised users but does not eliminate risk, especially in environments with weak access controls or credential management. The medium severity rating reflects moderate risk but underscores the need for timely mitigation to prevent escalation.
Mitigation Recommendations
To mitigate this vulnerability, organizations should implement strict input validation and sanitization on all file path parameters to prevent traversal sequences. Employ allowlisting of acceptable file paths and reject any input containing '../' or absolute path indicators. Enforce the principle of least privilege by restricting user permissions to only necessary directories and files. Conduct thorough code reviews and security testing focusing on file system access controls within the platform. Monitor logs for unusual file access patterns indicative of traversal attempts. If patches become available from Quanta Computer, prioritize their deployment. In the absence of patches, consider deploying web application firewalls (WAFs) with custom rules to detect and block path traversal payloads. Additionally, strengthen authentication mechanisms and session management to reduce the risk of credential compromise. Regularly audit user access and conduct security awareness training for users with platform access.
Affected Countries
Germany, France, United Kingdom, Italy, Spain, Netherlands, Sweden, Belgium, Switzerland, Austria
CVE-2025-15236: CWE-36 Absolute Path Traversal in Quanta Computer QOCA aim AI Medical Cloud Platform
Description
QOCA aim AI Medical Cloud Platform developed by Quanta Computer has a Path Traversal vulnerability, allowing authenticated remote attackers to read folder names under the specified path by exploiting an Absolute Path Traversal vulnerability.
AI-Powered Analysis
Technical Analysis
CVE-2025-15236 identifies an Absolute Path Traversal vulnerability (CWE-36) in the QOCA aim AI Medical Cloud Platform developed by Quanta Computer. This vulnerability allows an authenticated remote attacker to manipulate file path inputs to access folder names outside the intended directory scope. The flaw arises due to insufficient validation or sanitization of user-supplied file path parameters, enabling traversal sequences (e.g., '../') to navigate the file system hierarchy. The attacker can enumerate folder names under arbitrary paths, potentially revealing sensitive directory structures or configuration files. The vulnerability requires valid user credentials (low privilege) but does not require additional user interaction, making exploitation feasible once authenticated. The CVSS 4.0 vector indicates network attack vector (AV:N), low attack complexity (AC:L), no privileges required (PR:L), no user interaction (UI:N), and low impact on confidentiality (VC:L), with no impact on integrity or availability. No patches or known exploits are currently available, and the affected version is listed as '0', possibly indicating an initial or early release version. This vulnerability is particularly concerning in a medical cloud platform context, where directory information disclosure can facilitate further targeted attacks or data exfiltration attempts.
Potential Impact
For European organizations, particularly healthcare providers and medical research institutions using the QOCA aim AI Medical Cloud Platform, this vulnerability poses a risk to confidentiality by exposing directory structures and potentially sensitive metadata. While the vulnerability does not directly allow data modification or system disruption, the disclosed folder information could be leveraged by attackers to identify critical files or configurations, increasing the risk of subsequent exploitation such as privilege escalation or data breaches. Given the sensitive nature of medical data and strict regulatory requirements under GDPR, even indirect information disclosure can have significant compliance and reputational consequences. The requirement for authentication limits exposure to internal or compromised users but does not eliminate risk, especially in environments with weak access controls or credential management. The medium severity rating reflects moderate risk but underscores the need for timely mitigation to prevent escalation.
Mitigation Recommendations
To mitigate this vulnerability, organizations should implement strict input validation and sanitization on all file path parameters to prevent traversal sequences. Employ allowlisting of acceptable file paths and reject any input containing '../' or absolute path indicators. Enforce the principle of least privilege by restricting user permissions to only necessary directories and files. Conduct thorough code reviews and security testing focusing on file system access controls within the platform. Monitor logs for unusual file access patterns indicative of traversal attempts. If patches become available from Quanta Computer, prioritize their deployment. In the absence of patches, consider deploying web application firewalls (WAFs) with custom rules to detect and block path traversal payloads. Additionally, strengthen authentication mechanisms and session management to reduce the risk of credential compromise. Regularly audit user access and conduct security awareness training for users with platform access.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- twcert
- Date Reserved
- 2025-12-29T08:08:02.198Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 695b6f63db813ff03e3e887c
Added to database: 1/5/2026, 7:59:31 AM
Last enriched: 1/5/2026, 8:14:20 AM
Last updated: 1/7/2026, 2:40:40 AM
Views: 16
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