CVE-2025-15235 identifies a missing authorization vulnerability (CWE-862) in the QOCA aim AI Medical Cloud Platform developed by Quanta Computer. This flaw allows authenticated remote attackers to manipulate specific network packet parameters that control system functions, thereby bypassing authorization checks and gaining access to files belonging to other users. The vulnerability arises from insufficient enforcement of authorization policies within the platform's network packet handling logic. Attackers with valid credentials can exploit this to escalate privileges or access sensitive patient data stored in the cloud environment. The vulnerability has a CVSS 4.0 base score of 7.1, indicating a high severity level. It requires no user interaction and has low attack complexity, but does require privileges (authenticated access). The impact is primarily on confidentiality, as unauthorized file access compromises sensitive medical information. The platform is used in medical cloud deployments, where data integrity and confidentiality are critical. No patches or public exploits are currently available, but the vulnerability is published and recognized by the Taiwan Cybersecurity Incident Response Team (twcert). The lack of authorization checks in network packet processing suggests a design or implementation flaw that must be addressed to prevent lateral movement and data breaches within the platform.

For European organizations, particularly those in the healthcare sector using the QOCA aim AI Medical Cloud Platform, this vulnerability poses a significant risk to patient data confidentiality. Unauthorized access to files could lead to exposure of sensitive medical records, violating GDPR and other data protection regulations, resulting in legal and financial penalties. The ability for attackers to modify network packet parameters and bypass authorization could also facilitate further attacks within the cloud environment, potentially impacting system integrity and availability indirectly. Given the critical nature of healthcare data and the reliance on cloud platforms for AI-driven medical services, exploitation could undermine trust in digital health solutions and disrupt healthcare delivery. The vulnerability's exploitation could also affect compliance with EU cybersecurity directives such as NIS2, increasing regulatory scrutiny. Organizations may face reputational damage and operational disruptions if sensitive data is leaked or manipulated.

To mitigate CVE-2025-15235, organizations should implement strict access control policies ensuring that all network packet parameters affecting system functions are validated against user permissions. Deploy network segmentation to isolate the medical cloud platform from other critical infrastructure, limiting lateral movement opportunities. Enable detailed logging and monitoring of network packet modifications and access attempts to detect anomalous behavior early. Conduct thorough code reviews and security testing focused on authorization logic within the platform. Engage with Quanta Computer for timely patches or updates addressing this vulnerability once available. Until patches are released, consider deploying compensating controls such as multi-factor authentication to reduce risk from compromised credentials. Additionally, restrict administrative privileges to the minimum necessary and regularly audit user access rights. Employ intrusion detection systems tuned to detect unusual packet manipulation patterns. Finally, ensure incident response plans are updated to address potential exploitation scenarios involving unauthorized file access.