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VulnerabilityPublished

CVE-2025-15238: Quanta Computer QOCA aim AI Medical Cloud Platform · SQL Injection

Affects Quanta Computer QOCA aim AI Medical Cloud PlatformSource CVE Database V5

0

Not known to be exploited · CVSS 7.1 High.

Data as of 26 Oct 2026, 10:12 UTC

CVSS 4.0 base score
7.1High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.3% chance of exploitation in 30 days – higher than 25% 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:N/VA:N/SC:N/SI:N/SA:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 5 Jan 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq 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 26 Oct 2026.

What to do

Affected software

ProductAffectedFixed in
Quanta ComputerQOCA aim AI Medical Cloud PlatformAffected
  • <=2.7.5
Fixed in–

AI-suggested

  1. Immediate implementation of strict input validation and sanitization on all SQL query parameters within the QOCA platform to prevent injection of malicious SQL commands.
  2. Enforce the principle of least privilege by restricting user roles and permissions to the minimum necessary, reducing the risk posed by compromised or malicious authenticated users.
  3. Deploy Web Application Firewalls (WAFs) with custom rules to detect and block SQL injection patterns targeting the platform.
  4. Monitor authentication logs and database query logs for unusual or suspicious activities indicative of exploitation attempts.
  5. Segregate the medical cloud platform’s database access from other network segments to limit lateral movement in case of compromise.
  6. Engage with Quanta Computer for timely patches or updates addressing this vulnerability and apply them as soon as they become available.
  7. Conduct regular security assessments and penetration testing focused on injection flaws to identify and remediate similar vulnerabilities proactively.
  8. Educate administrators and users about secure credential management to prevent unauthorized access.
  9. Implement multi-factor authentication (MFA) to strengthen access controls and reduce the risk of credential misuse.
  10. Prepare incident response plans specifically addressing potential data breaches involving medical data to ensure rapid containment and notification compliance.

Description

CVE-2025-15238 is a high-severity SQL Injection vulnerability in the QOCA aim AI Medical Cloud Platform by Quanta Computer. It allows authenticated remote attackers with low privileges to inject arbitrary SQL commands, enabling unauthorized reading of database contents. The vulnerability requires no user interaction and can be exploited over the network. Although no known exploits are currently in the wild, the flaw poses a significant risk to the confidentiality of sensitive medical data. The vulnerability affects version 0 of the platform and has a CVSS 4.0 base score of 7.1. European healthcare organizations using this platform could face data breaches and compliance violations. Mitigation requires immediate patching once available, strict input validation, and enhanced access controls. Countries with high adoption of Quanta Computer medical solutions and strong healthcare sectors, such as Germany, France, and the UK, are most at risk.

References

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