CVE-2025-15238: CWE-89 Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') in Quanta Computer QOCA aim AI Medical Cloud Platform
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.
AI Analysis
Technical Summary
CVE-2025-15238 is a SQL Injection vulnerability classified under CWE-89, discovered in the QOCA aim AI Medical Cloud Platform developed by Quanta Computer. This platform is used for AI-driven medical cloud services, likely handling sensitive patient and healthcare data. The vulnerability allows authenticated remote attackers with low privileges to inject specially crafted SQL commands due to improper neutralization of special elements in SQL queries. Exploitation does not require user interaction and can be performed remotely over the network, increasing the attack surface. The vulnerability enables attackers to read arbitrary database contents, potentially exposing confidential medical records, user credentials, or system configuration data. 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 high impact on confidentiality (VC:H) with no impact on integrity or availability. No patches are currently available, and no known exploits have been reported in the wild, but the risk remains significant due to the sensitivity of the data involved and the ease of exploitation once authenticated access is obtained. The platform version affected is listed as 0, suggesting early or initial releases may be vulnerable. The vulnerability was reserved in late 2025 and published in early 2026, highlighting a recent discovery. Given the medical context, unauthorized data disclosure could have severe privacy and regulatory implications.
Potential Impact
For European organizations, especially healthcare providers and medical research institutions using the QOCA aim AI Medical Cloud Platform, this vulnerability poses a critical risk to patient data confidentiality. Exploitation could lead to unauthorized disclosure of sensitive health information, violating GDPR and other data protection regulations, potentially resulting in legal penalties and reputational damage. The breach of medical data could also undermine patient trust and disrupt healthcare operations. Additionally, attackers might leverage exposed data for further attacks, such as identity theft or fraud. The lack of impact on integrity and availability reduces the risk of data tampering or service disruption but does not diminish the severity of data leakage. Since the vulnerability requires authenticated access, insider threats or compromised credentials increase the risk. European healthcare sectors are increasingly targeted by cybercriminals, making timely mitigation essential to prevent exploitation and safeguard critical infrastructure.
Mitigation Recommendations
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.
Affected Countries
Germany, France, United Kingdom, Italy, Spain, Netherlands, Sweden, Belgium, Switzerland, Austria
CVE-2025-15238: CWE-89 Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') in Quanta Computer QOCA aim AI Medical Cloud Platform
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.
AI-Powered Analysis
Technical Analysis
CVE-2025-15238 is a SQL Injection vulnerability classified under CWE-89, discovered in the QOCA aim AI Medical Cloud Platform developed by Quanta Computer. This platform is used for AI-driven medical cloud services, likely handling sensitive patient and healthcare data. The vulnerability allows authenticated remote attackers with low privileges to inject specially crafted SQL commands due to improper neutralization of special elements in SQL queries. Exploitation does not require user interaction and can be performed remotely over the network, increasing the attack surface. The vulnerability enables attackers to read arbitrary database contents, potentially exposing confidential medical records, user credentials, or system configuration data. 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 high impact on confidentiality (VC:H) with no impact on integrity or availability. No patches are currently available, and no known exploits have been reported in the wild, but the risk remains significant due to the sensitivity of the data involved and the ease of exploitation once authenticated access is obtained. The platform version affected is listed as 0, suggesting early or initial releases may be vulnerable. The vulnerability was reserved in late 2025 and published in early 2026, highlighting a recent discovery. Given the medical context, unauthorized data disclosure could have severe privacy and regulatory implications.
Potential Impact
For European organizations, especially healthcare providers and medical research institutions using the QOCA aim AI Medical Cloud Platform, this vulnerability poses a critical risk to patient data confidentiality. Exploitation could lead to unauthorized disclosure of sensitive health information, violating GDPR and other data protection regulations, potentially resulting in legal penalties and reputational damage. The breach of medical data could also undermine patient trust and disrupt healthcare operations. Additionally, attackers might leverage exposed data for further attacks, such as identity theft or fraud. The lack of impact on integrity and availability reduces the risk of data tampering or service disruption but does not diminish the severity of data leakage. Since the vulnerability requires authenticated access, insider threats or compromised credentials increase the risk. European healthcare sectors are increasingly targeted by cybercriminals, making timely mitigation essential to prevent exploitation and safeguard critical infrastructure.
Mitigation Recommendations
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.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- twcert
- Date Reserved
- 2025-12-29T08:08:04.761Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 695b72e7db813ff03e3f5bfd
Added to database: 1/5/2026, 8:14:31 AM
Last enriched: 1/12/2026, 9:41:26 PM
Last updated: 2/7/2026, 6:39:43 AM
Views: 38
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