CVE-2025-15240: Quanta Computer QOCA aim AI Medical Cloud Platform · Unrestricted File Upload
Affects Quanta Computer QOCA aim AI Medical Cloud PlatformSource CVE Database V5
Not known to be exploited · CVSS 8.7 High.
Data as of 26 Oct 2026, 06:26 UTC
- EPSS
- 0.5% chance of exploitation in 30 days – higher than 43% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:NExploitation evidence
Disclosed: evidence found.
CVE published 5 Jan 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 2026-10-26.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| Quanta ComputerQOCA aim AI Medical Cloud Platform | Affected
| Fixed in– |
AI-suggested
To mitigate CVE-2025-15240, organizations should implement strict file upload validation controls, including whitelisting allowed file types and enforcing server-side checks to prevent dangerous file extensions. Employing content inspection and sandboxing of uploaded files can further reduce risk. Access controls should be tightened to limit upload permissions only to necessary users and roles, combined with multi-factor authentication to reduce credential compromise risk. Monitoring and logging upload activities with alerting on anomalous behavior can enable early detection of exploitation attempts. Network segmentation should isolate the medical cloud platform from other critical systems to contain potential breaches. Since no official patches are currently available, organizations should engage with Quanta Computer for updates and consider temporary compensating controls such as disabling file upload features if feasible. Regular security assessments and penetration testing focused on file upload functionality are recommended to identify weaknesses proactively.
Description
CVE-2025-15240 is a high-severity vulnerability in the QOCA aim AI Medical Cloud Platform by Quanta Computer. It allows authenticated attackers to upload arbitrary files, including web shells, leading to remote code execution on the server. The flaw stems from unrestricted file upload handling (CWE-434), enabling attackers to bypass file type restrictions. Exploitation requires authentication but no user interaction, and the vulnerability has a CVSS 4.0 score of 8.7, indicating a significant risk. No public exploits are currently known. European healthcare organizations using this platform could face data breaches, service disruption, and regulatory penalties. Mitigation involves implementing strict file validation, restricting upload permissions, and monitoring for suspicious activity. Countries with advanced healthcare IT infrastructure and known deployment of Quanta Computer products, such as Germany, France, and the UK, are most at risk.