CVE-2025-11311 is a SQL injection vulnerability identified in the Tipray Data Leakage Prevention System (version 1.0), specifically within the findTenantPage function of the findTenantPage.do file. The vulnerability arises from improper sanitization of the 'sort' parameter, which is directly used in SQL queries without adequate validation or parameterization. This flaw allows an unauthenticated remote attacker to inject arbitrary SQL commands, potentially leading to unauthorized data access, data modification, or disruption of service. The vulnerability is remotely exploitable without requiring user interaction or privileges, increasing its risk profile. The CVSS 4.0 base score is 6.9 (medium severity), reflecting the network attack vector, low complexity, and no required authentication, but limited impact scope and partial confidentiality, integrity, and availability loss. The vendor, Tipray 厦门天锐科技股份有限公司, was notified early but has not issued a patch or response, leaving systems exposed. Although no known exploits are reported in the wild, the public disclosure increases the risk of exploitation attempts. The affected product is a Data Leakage Prevention (DLP) system, which typically safeguards sensitive organizational data, making the vulnerability particularly concerning as it could undermine data protection controls and lead to leakage or manipulation of confidential information.

For European organizations, this vulnerability poses a significant risk to the confidentiality, integrity, and availability of sensitive data managed by the Tipray DLP system. Exploitation could allow attackers to extract sensitive tenant or organizational data, modify or delete records, or disrupt DLP operations, potentially leading to data breaches and compliance violations under regulations such as GDPR. The lack of vendor response and patch availability increases exposure time, raising the likelihood of targeted attacks. Organizations in sectors with stringent data protection requirements—such as finance, healthcare, and government—are particularly vulnerable. Compromise of the DLP system could also erode trust in data security measures and result in reputational damage and financial penalties. The remote, unauthenticated nature of the exploit means attackers can attempt exploitation from outside the network perimeter, emphasizing the need for robust perimeter defenses and monitoring.

1. Immediately implement strict input validation and sanitization on the 'sort' parameter within the findTenantPage function to prevent SQL injection. 2. Employ parameterized queries or prepared statements in the application code to eliminate direct concatenation of user input into SQL commands. 3. Deploy Web Application Firewalls (WAFs) with custom rules designed to detect and block SQL injection attempts targeting the vulnerable endpoint. 4. Restrict network access to the DLP system to trusted internal IP addresses and VPN connections to reduce exposure to remote attacks. 5. Monitor logs and network traffic for unusual query patterns or repeated access attempts to findTenantPage.do indicative of exploitation attempts. 6. Consider isolating the affected system within a segmented network zone to limit potential lateral movement if compromised. 7. Engage with the vendor for updates or patches and plan for timely application once available. 8. Conduct regular security assessments and penetration tests focusing on injection vulnerabilities in critical systems. 9. Educate development and security teams about secure coding practices and the importance of input validation in preventing injection flaws.