CVE-2025-15492 is a SQL injection vulnerability identified in the RainyGao DocSys product, specifically affecting all versions up to 2.02.36. The vulnerability resides in an unspecified function within the XML mapping file src/com/DocSystem/mapping/GroupMemberMapper.xml. Attackers can exploit the vulnerability by manipulating the 'searchWord' parameter, which is improperly sanitized, allowing malicious SQL statements to be injected and executed on the backend database. This injection flaw can be triggered remotely without requiring user interaction, though it requires low privileges (PR:L) on the system. The vulnerability impacts the confidentiality, integrity, and availability of the system to a limited extent, as indicated by the CVSS 4.0 vector (AV:N/AC:L/PR:L/UI:N/VC:L/VI:L/VA:L). The vendor has not responded to disclosure attempts, and no official patches have been released, although public exploit code is available, increasing the risk of exploitation. The vulnerability affects a wide range of versions, making many deployments vulnerable. The lack of authentication bypass means attackers need some level of access, but the ease of exploitation and remote attack vector make it a significant concern for organizations using this software.

The SQL injection vulnerability in RainyGao DocSys can allow attackers to execute arbitrary SQL commands on the backend database, potentially leading to unauthorized data access, data modification, or deletion. This can compromise sensitive organizational information, disrupt document management workflows, and degrade system availability. Given the remote attack vector and the availability of public exploits, attackers could leverage this vulnerability to escalate privileges, extract confidential data, or corrupt data integrity. Organizations relying on DocSys for critical document handling may face operational disruptions, reputational damage, and regulatory compliance issues if exploited. The medium severity reflects partial but meaningful impact on confidentiality, integrity, and availability, with exploitation requiring some privileges but no user interaction, increasing the risk in environments where low-privilege accounts exist.

Organizations should immediately audit their deployments of RainyGao DocSys to identify affected versions up to 2.02.36. Since no official patch is available, mitigation should focus on implementing strict input validation and sanitization for the 'searchWord' parameter at the application or database query layer to prevent injection. Employing Web Application Firewalls (WAFs) with custom rules to detect and block SQL injection patterns targeting this parameter can reduce risk. Restricting database user privileges to the minimum necessary can limit the impact of a successful injection. Monitoring logs for unusual database queries or errors related to 'searchWord' can help detect exploitation attempts. Organizations should also isolate DocSys instances from public networks or restrict access to trusted users only. Preparing for vendor updates and applying patches promptly once available is critical. Additionally, consider code review or third-party security assessments to identify and remediate similar injection points.