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
QOCA aim AI Medical Cloud Platform developed by Quanta Computer has a SQL Injection vulnerability, allowing authenticated remote attackers to inject arbitrary SQL commands to read database contents.
AI Analysis
Technical Summary
CVE-2025-15238 is a SQL Injection vulnerability classified under CWE-89 affecting the QOCA aim AI Medical Cloud Platform developed by Quanta Computer. This platform is used in medical environments to provide AI-driven cloud services. The vulnerability arises from improper neutralization of special elements in SQL commands, allowing authenticated remote attackers to inject arbitrary SQL code. The attack vector is network-based (AV:N), with low attack complexity (AC:L), no privileges required beyond authentication (PR:L), and no user interaction needed (UI:N). The vulnerability impacts confidentiality (VC:H) but not integrity or availability. Exploiting this flaw enables attackers to read sensitive database contents, potentially exposing patient records and other confidential medical information. Although no known exploits are currently in the wild, the vulnerability is publicly disclosed and rated with a CVSS 4.0 score of 7.1, indicating a high severity. The lack of available patches at the time of disclosure increases the urgency for organizations to implement compensating controls. Given the critical nature of medical data and regulatory requirements such as GDPR, this vulnerability poses a significant risk to healthcare providers using this platform.
Potential Impact
The primary impact is unauthorized disclosure of sensitive medical data, which can compromise patient privacy and violate data protection laws like GDPR. This can lead to reputational damage, legal penalties, and loss of trust in healthcare providers. Since the vulnerability allows reading database contents, attackers could harvest large volumes of confidential information. The AI medical platform’s role in clinical decision-making could also be indirectly affected if attackers manipulate or exfiltrate data. European healthcare organizations are particularly vulnerable due to the widespread adoption of AI cloud platforms and stringent regulatory environments. The breach of medical data can have severe consequences including identity theft, insurance fraud, and targeted attacks on individuals. Additionally, the lack of known exploits currently does not preclude future active exploitation, especially as threat actors often weaponize disclosed vulnerabilities rapidly. The impact extends beyond individual organizations to national healthcare infrastructure and patient safety.
Mitigation Recommendations
1. Immediate implementation of strict access controls to limit authenticated user privileges to the minimum necessary. 2. Monitor and analyze database query logs for unusual or suspicious SQL commands indicative of injection attempts. 3. Employ Web Application Firewalls (WAFs) with custom rules to detect and block SQL injection patterns targeting the QOCA platform. 4. Segregate the medical cloud platform’s database from other critical systems to contain potential breaches. 5. Conduct thorough code reviews and penetration testing focused on input validation and SQL query construction. 6. Prepare for rapid deployment of vendor patches once available and subscribe to Quanta Computer’s security advisories. 7. Encrypt sensitive data at rest and in transit to mitigate data exposure if extraction occurs. 8. Educate administrators and users about the risks of SQL injection and the importance of secure authentication practices. 9. Implement multi-factor authentication to reduce risk of credential compromise. 10. Collaborate with incident response teams to develop and test response plans specific to database breaches.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Switzerland, Belgium
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
QOCA aim AI Medical Cloud Platform developed by Quanta Computer has a SQL Injection vulnerability, allowing authenticated remote attackers to inject arbitrary SQL commands to read database contents.
AI-Powered Analysis
Technical Analysis
CVE-2025-15238 is a SQL Injection vulnerability classified under CWE-89 affecting the QOCA aim AI Medical Cloud Platform developed by Quanta Computer. This platform is used in medical environments to provide AI-driven cloud services. The vulnerability arises from improper neutralization of special elements in SQL commands, allowing authenticated remote attackers to inject arbitrary SQL code. The attack vector is network-based (AV:N), with low attack complexity (AC:L), no privileges required beyond authentication (PR:L), and no user interaction needed (UI:N). The vulnerability impacts confidentiality (VC:H) but not integrity or availability. Exploiting this flaw enables attackers to read sensitive database contents, potentially exposing patient records and other confidential medical information. Although no known exploits are currently in the wild, the vulnerability is publicly disclosed and rated with a CVSS 4.0 score of 7.1, indicating a high severity. The lack of available patches at the time of disclosure increases the urgency for organizations to implement compensating controls. Given the critical nature of medical data and regulatory requirements such as GDPR, this vulnerability poses a significant risk to healthcare providers using this platform.
Potential Impact
The primary impact is unauthorized disclosure of sensitive medical data, which can compromise patient privacy and violate data protection laws like GDPR. This can lead to reputational damage, legal penalties, and loss of trust in healthcare providers. Since the vulnerability allows reading database contents, attackers could harvest large volumes of confidential information. The AI medical platform’s role in clinical decision-making could also be indirectly affected if attackers manipulate or exfiltrate data. European healthcare organizations are particularly vulnerable due to the widespread adoption of AI cloud platforms and stringent regulatory environments. The breach of medical data can have severe consequences including identity theft, insurance fraud, and targeted attacks on individuals. Additionally, the lack of known exploits currently does not preclude future active exploitation, especially as threat actors often weaponize disclosed vulnerabilities rapidly. The impact extends beyond individual organizations to national healthcare infrastructure and patient safety.
Mitigation Recommendations
1. Immediate implementation of strict access controls to limit authenticated user privileges to the minimum necessary. 2. Monitor and analyze database query logs for unusual or suspicious SQL commands indicative of injection attempts. 3. Employ Web Application Firewalls (WAFs) with custom rules to detect and block SQL injection patterns targeting the QOCA platform. 4. Segregate the medical cloud platform’s database from other critical systems to contain potential breaches. 5. Conduct thorough code reviews and penetration testing focused on input validation and SQL query construction. 6. Prepare for rapid deployment of vendor patches once available and subscribe to Quanta Computer’s security advisories. 7. Encrypt sensitive data at rest and in transit to mitigate data exposure if extraction occurs. 8. Educate administrators and users about the risks of SQL injection and the importance of secure authentication practices. 9. Implement multi-factor authentication to reduce risk of credential compromise. 10. Collaborate with incident response teams to develop and test response plans specific to database breaches.
Affected Countries
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: 1/5/2026, 8:28:50 AM
Last updated: 1/7/2026, 4:46:48 AM
Views: 12
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