CVE-2025-7936 is a critical SQL Injection vulnerability identified in the fuyang_lipengjun platform, specifically affecting the function queryPage within the ScheduleJobLogController.java file. The vulnerability arises from improper sanitization or validation of the input parameters 'beanName' and 'methodName', which are directly used in SQL queries. This flaw allows an unauthenticated remote attacker to inject arbitrary SQL commands, potentially leading to unauthorized data access, data modification, or disruption of database operations. The platform uses a rolling release model, which complicates precise version tracking for affected and patched releases. The vulnerability has a CVSS 4.0 base score of 5.3 (medium severity), with attack vector being network-based and no user interaction required. The exploit has been publicly disclosed but no known active exploitation in the wild has been reported yet. The vulnerability impacts confidentiality, integrity, and availability to a limited extent due to partial impact metrics (low confidentiality, integrity, and availability impacts). The attack requires no authentication and can be performed remotely, increasing the risk profile. However, the partial impact scores and lack of known exploits suggest moderate risk at present. The vulnerability is significant because SQL Injection remains one of the most dangerous web application vulnerabilities, often leading to severe breaches if exploited effectively. Given the public disclosure, organizations using this platform should prioritize remediation to prevent potential exploitation.

For European organizations using the fuyang_lipengjun platform, this vulnerability poses a risk of unauthorized access to sensitive data stored in backend databases, potential data corruption, and service disruption. The ability to execute arbitrary SQL commands remotely without authentication could lead to data breaches, loss of data integrity, and denial of service conditions. This is particularly concerning for organizations handling personal data under GDPR, as exploitation could result in regulatory penalties and reputational damage. The medium CVSS score reflects a moderate risk, but the critical nature of SQL Injection vulnerabilities means that even moderate vulnerabilities can escalate if chained with other weaknesses. The rolling release nature of the platform may delay patch deployment, increasing exposure time. European entities in sectors such as finance, healthcare, and public administration, which often rely on robust data integrity and confidentiality, could face significant operational and compliance impacts if this vulnerability is exploited.

1. Immediate code review and sanitization: Developers should audit the queryPage function and ensure that all inputs, especially 'beanName' and 'methodName', are properly sanitized and validated against a whitelist of allowed values. 2. Use of parameterized queries or prepared statements: Refactor the affected SQL queries to use parameterized queries to prevent injection. 3. Implement Web Application Firewalls (WAF): Deploy WAFs with rules to detect and block SQL Injection attempts targeting the affected endpoints. 4. Monitor logs and network traffic: Set up enhanced monitoring to detect unusual query patterns or spikes in errors related to ScheduleJobLogController endpoints. 5. Accelerate patching: Engage with the vendor or development team to obtain and deploy patches or mitigations as soon as they become available, despite the rolling release model. 6. Restrict access: Where possible, limit network exposure of the vulnerable service to trusted networks or VPNs to reduce attack surface. 7. Conduct penetration testing: Perform targeted security testing to verify the effectiveness of mitigations and detect any residual vulnerabilities. 8. Educate developers and administrators on secure coding practices to prevent similar issues in future releases.