CVE-2025-15492 identifies a SQL injection vulnerability in RainyGao's DocSys product, specifically in versions up to 2.02.36. The vulnerability resides in an unspecified function within the XML mapping file src/com/DocSystem/mapping/GroupMemberMapper.xml, where the searchWord parameter is improperly sanitized. This allows an attacker to craft malicious input that alters the intended SQL query logic, enabling unauthorized database queries. The attack vector is remote and does not require authentication or user interaction, increasing the risk of exploitation. The vulnerability has a CVSS 4.0 base score of 5.3, indicating medium severity, with low complexity and no privileges required. The vendor has not issued a patch or responded to disclosure, and exploit code is publicly available, raising the likelihood of exploitation. The impact includes potential unauthorized data disclosure, data manipulation, or denial of service through database corruption or resource exhaustion. The vulnerability affects all listed versions from 2.02.0 through 2.02.36, which suggests a long-standing issue. Without vendor remediation, organizations must rely on mitigations such as input validation, query parameterization, and network controls to reduce exposure.

For European organizations, this vulnerability poses a significant risk to the confidentiality, integrity, and availability of data managed by DocSys. Given the remote and unauthenticated nature of the exploit, attackers could extract sensitive information, modify records, or disrupt document management workflows. This is particularly critical for sectors handling personal data under GDPR, such as healthcare, finance, and government agencies. Exploitation could lead to regulatory penalties, reputational damage, and operational downtime. The lack of vendor response and patch availability increases the window of exposure. Organizations relying heavily on DocSys for document management or collaboration may face increased risk of targeted attacks or opportunistic exploitation by cybercriminals. The medium severity score reflects moderate impact but ease of exploitation and broad affected versions elevate the threat level in practice.

1. Immediately implement strict input validation and sanitization on the searchWord parameter to block malicious SQL payloads. 2. Refactor or patch the affected function to use parameterized queries or prepared statements to prevent injection. 3. Employ Web Application Firewalls (WAFs) with custom rules to detect and block SQL injection attempts targeting DocSys endpoints. 4. Restrict network access to DocSys interfaces to trusted IP ranges and require VPN or zero-trust access controls. 5. Monitor logs for suspicious query patterns or anomalies indicative of injection attempts. 6. Engage with the vendor for updates and request a formal patch or mitigation guidance. 7. If possible, isolate the DocSys database with least privilege access and separate it from other critical systems. 8. Plan for an emergency patch deployment once vendor fixes are available. 9. Conduct internal security assessments and penetration tests focusing on SQL injection vectors in DocSys. 10. Train developers and administrators on secure coding and configuration practices to prevent similar vulnerabilities.