CVE-2025-15239VulnerabilityPublished 5 Jan 2026

CVE-2025-15239: Quanta Computer QOCA aim AI Medical Cloud Platform · SQL Injection

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

Not known to be exploited · CVSS 7.1 High.

Data as of 26 Oct 2026, 06:26 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

Attack Vector: Network
Attack Complexity: Low
Attack Requirements: None
Privileges Required: Low
User Interaction: None
Vulnerable system confidentiality: High
Vulnerable system integrity: None
Vulnerable system availability: None
Subsequent system confidentiality: None
Subsequent system integrity: None
Subsequent system availability: None

Bold values are the worst case: easiest to exploit or largest impact.

Attack Vector: Network: The vulnerable system is bound to the network stack and the set of possible attackers extends beyond the other options listed below, up to and including the entire Internet. Such a vulnerability is often termed “remotely exploitable” and can be thought of as an attack being exploitable at the protocol level one or more network hops away (e.g., across one or more routers).
Attack Complexity: Low: The attacker must take no measurable action to exploit the vulnerability. The attack requires no target-specific circumvention to exploit the vulnerability. An attacker can expect repeatable success against the vulnerable system.
Attack Requirements: None: The successful attack does not depend on the deployment and execution conditions of the vulnerable system. The attacker can expect to be able to reach the vulnerability and execute the exploit under all or most instances of the vulnerability.
Privileges Required: Low: The attacker requires privileges that provide basic capabilities that are typically limited to settings and resources owned by a single low-privileged user. Alternatively, an attacker with Low privileges has the ability to access only non-sensitive resources.
User Interaction: None: The vulnerable system can be exploited without interaction from any human user, other than the attacker.
Vulnerable system confidentiality: High: There is a total loss of confidentiality, resulting in all information within the Vulnerable System being divulged to the attacker. Alternatively, access to only some restricted information is obtained, but the disclosed information presents a direct, serious impact. For example, an attacker steals the administrator's password, or private encryption keys of a web server.
Vulnerable system integrity: None: There is no loss of integrity within the Vulnerable System.
Vulnerable system availability: None: There is no impact to availability within the Vulnerable System.
Subsequent system confidentiality: None: There is no loss of confidentiality within the Subsequent System or all confidentiality impact is constrained to the Vulnerable System.
Subsequent system integrity: None: There is no loss of integrity within the Subsequent System or all integrity impact is constrained to the Vulnerable System.
Subsequent system availability: None: There is no impact to availability within the Subsequent System or all availability impact is constrained to the Vulnerable System.

Definitions: FIRST CVSS v4.0 specification.

Exploitation 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.

Disclosed: The CVE record is public on cve.org. Its publication is t = 0.
Detectable: A public nuclei template can find exposed instances, for defenders and attackers alike.
Weaponised: Public exploit code exists in Metasploit or Exploit-DB, or CISA SSVC reports a public proof of concept.
Exploited in the wild: CISA KEV lists it, CISA SSVC rates exploitation active, or a source reports attacks.
Observed by OffSeq Mirage: OffSeq Mirage honeypot sensors recorded attack traffic for this CVE, or found exposed hosts without attack traffic.

Moments are spaced evenly, not to scale; a dashed line marks a gap of six months or more. Deltas count from t = 0. Sources that give only a date (CISA KEV, Exploit-DB, or a time of exactly 00:00Z) read “same day” rather than hours. Metasploit modules carry the flaw’s disclosure date, not their release date, and nuclei templates carry no date, so both appear above but not on the timeline.

What to do

Affected software

Product	Affected	Fixed in
Quanta ComputerQOCA aim AI Medical Cloud Platform	Affected <=2.7.5	Fixed in–

AI-suggested

European organizations should immediately audit and restrict access to the QOCA aim AI Medical Cloud Platform, ensuring that only necessary personnel have authenticated access. Implement strict input validation and sanitization on all user inputs to the platform, employing parameterized queries or prepared statements to prevent SQL injection. Network segmentation and monitoring should be enhanced to detect anomalous database queries or unusual access patterns. Multi-factor authentication (MFA) should be enforced to reduce the risk of credential compromise. Organizations should also conduct thorough code reviews and penetration testing focused on SQL injection vectors within the platform. Until an official patch is released, consider deploying Web Application Firewalls (WAFs) with custom rules to block suspicious SQL payloads. Regularly back up sensitive data and have an incident response plan tailored to data breaches involving medical information. Engage with Quanta Computer for updates and patches, and monitor threat intelligence feeds for emerging exploits.

Description

CVE-2025-15239 is a high-severity SQL Injection vulnerability in the QOCA aim AI Medical Cloud Platform by Quanta Computer. It allows authenticated remote attackers to inject arbitrary SQL commands to read sensitive database contents. The vulnerability requires low attack complexity and no user interaction but does require authentication with limited privileges. Exploitation could lead to unauthorized disclosure of confidential medical data, impacting patient privacy and healthcare operations. No public exploits are currently known, and no patches have been released yet. European healthcare organizations using this platform are at risk, especially those with significant deployments of Quanta Computer solutions. Mitigation involves strict input validation, parameterized queries, and enhanced authentication controls. Countries with advanced healthcare infrastructure and AI medical platform adoption, such as Germany, France, and the UK, are most likely to be affected. Immediate attention is needed to prevent data breaches and maintain compliance with data protection regulations like GDPR.

Impact

For European organizations, particularly those in the healthcare sector, this vulnerability poses a serious risk to patient data confidentiality and regulatory compliance. Unauthorized access to medical records could lead to privacy violations under GDPR, resulting in legal penalties and reputational damage. The AI medical cloud platform likely integrates with hospital information systems and electronic health records, so exploitation could disrupt clinical workflows and decision-making. Given the sensitivity of medical data, a breach could also undermine patient trust and impact public health outcomes. Additionally, healthcare providers may face operational challenges if data integrity is questioned or if forensic investigations are required. The high severity and ease of exploitation (network-based with low complexity) mean that attackers with valid credentials could leverage this vulnerability to conduct large-scale data exfiltration. The absence of patches increases the window of exposure, making proactive mitigation critical.

Summary

CVE-2025-15239 identifies a SQL Injection vulnerability (CWE-89) in the QOCA aim AI Medical Cloud Platform developed by Quanta Computer. This vulnerability allows authenticated remote attackers to inject malicious SQL commands due to improper neutralization of special elements in SQL queries. The flaw exists in the platform's handling of user-supplied input, which is not properly sanitized or parameterized before being incorporated into SQL commands. The vulnerability has a CVSS 4.0 base score of 7.1, indicating high severity, with attack vector being network-based and requiring low complexity. Although authentication with limited privileges is required, no user interaction is necessary, and the impact on confidentiality is high as attackers can read sensitive database contents. The vulnerability does not affect integrity or availability directly but poses a significant risk of data leakage, especially given the sensitive nature of medical data managed by the platform. No public exploits or patches are currently available, increasing the urgency for organizations to implement mitigations. The platform's use in AI-driven medical cloud services means that exploitation could compromise patient data confidentiality and trust in healthcare IT systems.

CWE-89Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') (opens in a new tab)
Base weaknessLikelihood of exploit: HighCWE Top 25 (2025): #2OWASP Top 10 A05:2025: Injection (opens in a new tab)
The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.
Architecture and Design · Libraries or Frameworks
Use a vetted library or framework that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid.
Architecture and Design · Parameterization
If available, use structured mechanisms that automatically enforce the separation between data and code. These mechanisms may be able to provide the relevant quoting, encoding, and validation automatically, instead of relying on the developer to provide this capability at every point where output is generated.
Architecture and Design · Operation · Environment Hardening
Run your code using the lowest privileges that are required to accomplish the necessary tasks. If possible, create isolated accounts with limited privileges that are only used for a single task. That way, a successful attack will not immediately give the attacker access to the rest of the software or its environment.
OWASP Cheat Sheets
Query Parameterization (opens in a new tab)
Unvalidated Redirects and Forwards (opens in a new tab)
XML Security (opens in a new tab)
XML External Entity Prevention (opens in a new tab)
File Upload (opens in a new tab)
OWASP ASVS 4.0.3
V5.3.4 (opens in a new tab)
V5.3.5 (opens in a new tab)
V1.5.1 (opens in a new tab)
Attack patterns
Command Line Execution through SQL Injection (opens in a new tab)
Object Relational Mapping Injection (opens in a new tab)
SQL Injection through SOAP Parameter Tampering (opens in a new tab)
Expanding Control over the Operating System from the Database (opens in a new tab)
SQL Injection (opens in a new tab)
From MITRE CWE, MITRE CAPEC and OWASP (Top 10, OpenCRE).

References

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Exploitation evidence

What to do

Affected software

Description

AI analysisMachine-generated, updated 12 Jan 2026, 21:41 UTC

WeaknessesCWE-89

Technical details

References

Community reviews

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