CVE-2025-11312: SQL Injection in Tipray 厦门天锐科技股份有限公司 Data Leakage Prevention System 天锐数据泄露防护系统
A vulnerability was detected in Tipray 厦门天锐科技股份有限公司 Data Leakage Prevention System 天锐数据泄露防护系统 1.0. This affects the function findModulePage of the file findModulePage.do. The manipulation of the argument sort results in sql injection. The attack can be launched remotely. The exploit is now public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.
AI Analysis
Technical Summary
CVE-2025-11312 identifies a SQL injection vulnerability in the Tipray Data Leakage Prevention System (DLP) version 1.0, developed by 厦门天锐科技股份有限公司. The flaw exists in the findModulePage function within the findModulePage.do endpoint, where the 'sort' parameter is not properly sanitized before being used in SQL queries. This lack of input validation allows an unauthenticated remote attacker to inject malicious SQL code, potentially manipulating database queries to retrieve, alter, or delete sensitive data. The vulnerability requires no authentication or user interaction, making it easier to exploit remotely over the network. The CVSS 4.0 base score is 6.9 (medium severity), reflecting the moderate impact on confidentiality, integrity, and availability, combined with the ease of exploitation. Although no active exploitation has been reported, the public availability of exploit code increases the risk of attacks. The vendor has not issued any patches or responded to disclosure efforts, leaving affected systems exposed. This vulnerability is particularly critical for organizations relying on this DLP system to protect sensitive information, as successful exploitation could lead to significant data leakage or system compromise.
Potential Impact
For European organizations, exploitation of CVE-2025-11312 could result in unauthorized access to sensitive data protected by the Tipray DLP system, undermining data confidentiality and potentially violating GDPR and other data protection regulations. The integrity of data could be compromised through unauthorized modifications, and availability might be affected if attackers manipulate database operations to disrupt system functionality. Given the role of DLP systems in preventing data exfiltration, a successful attack could facilitate large-scale data breaches, damaging organizational reputation and incurring regulatory penalties. The remote, unauthenticated nature of the vulnerability increases the attack surface, especially for organizations exposing the affected service to external networks. The lack of vendor response and patches exacerbates the risk, requiring organizations to implement compensating controls promptly. The threat is particularly relevant for sectors handling sensitive personal or corporate data, such as finance, healthcare, and government agencies within Europe.
Mitigation Recommendations
Since no official patches are available, European organizations should immediately implement network-level restrictions to limit access to the affected findModulePage.do endpoint, allowing only trusted internal IP addresses where possible. Deploy Web Application Firewalls (WAFs) with custom rules to detect and block SQL injection patterns targeting the 'sort' parameter. Conduct thorough input validation and sanitization on any interfacing systems or proxies to filter malicious payloads. Monitor logs for unusual query patterns or repeated access attempts to the vulnerable endpoint. Consider isolating or segmenting the affected DLP system from critical networks to reduce exposure. Engage in active threat hunting for signs of exploitation attempts. Plan for rapid patch deployment once the vendor releases an update, and evaluate alternative DLP solutions if the vendor remains unresponsive. Additionally, review and strengthen database user permissions to minimize the impact of potential SQL injection attacks.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Poland
CVE-2025-11312: SQL Injection in Tipray 厦门天锐科技股份有限公司 Data Leakage Prevention System 天锐数据泄露防护系统
Description
A vulnerability was detected in Tipray 厦门天锐科技股份有限公司 Data Leakage Prevention System 天锐数据泄露防护系统 1.0. This affects the function findModulePage of the file findModulePage.do. The manipulation of the argument sort results in sql injection. The attack can be launched remotely. The exploit is now public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.
AI-Powered Analysis
Technical Analysis
CVE-2025-11312 identifies a SQL injection vulnerability in the Tipray Data Leakage Prevention System (DLP) version 1.0, developed by 厦门天锐科技股份有限公司. The flaw exists in the findModulePage function within the findModulePage.do endpoint, where the 'sort' parameter is not properly sanitized before being used in SQL queries. This lack of input validation allows an unauthenticated remote attacker to inject malicious SQL code, potentially manipulating database queries to retrieve, alter, or delete sensitive data. The vulnerability requires no authentication or user interaction, making it easier to exploit remotely over the network. The CVSS 4.0 base score is 6.9 (medium severity), reflecting the moderate impact on confidentiality, integrity, and availability, combined with the ease of exploitation. Although no active exploitation has been reported, the public availability of exploit code increases the risk of attacks. The vendor has not issued any patches or responded to disclosure efforts, leaving affected systems exposed. This vulnerability is particularly critical for organizations relying on this DLP system to protect sensitive information, as successful exploitation could lead to significant data leakage or system compromise.
Potential Impact
For European organizations, exploitation of CVE-2025-11312 could result in unauthorized access to sensitive data protected by the Tipray DLP system, undermining data confidentiality and potentially violating GDPR and other data protection regulations. The integrity of data could be compromised through unauthorized modifications, and availability might be affected if attackers manipulate database operations to disrupt system functionality. Given the role of DLP systems in preventing data exfiltration, a successful attack could facilitate large-scale data breaches, damaging organizational reputation and incurring regulatory penalties. The remote, unauthenticated nature of the vulnerability increases the attack surface, especially for organizations exposing the affected service to external networks. The lack of vendor response and patches exacerbates the risk, requiring organizations to implement compensating controls promptly. The threat is particularly relevant for sectors handling sensitive personal or corporate data, such as finance, healthcare, and government agencies within Europe.
Mitigation Recommendations
Since no official patches are available, European organizations should immediately implement network-level restrictions to limit access to the affected findModulePage.do endpoint, allowing only trusted internal IP addresses where possible. Deploy Web Application Firewalls (WAFs) with custom rules to detect and block SQL injection patterns targeting the 'sort' parameter. Conduct thorough input validation and sanitization on any interfacing systems or proxies to filter malicious payloads. Monitor logs for unusual query patterns or repeated access attempts to the vulnerable endpoint. Consider isolating or segmenting the affected DLP system from critical networks to reduce exposure. Engage in active threat hunting for signs of exploitation attempts. Plan for rapid patch deployment once the vendor releases an update, and evaluate alternative DLP solutions if the vendor remains unresponsive. Additionally, review and strengthen database user permissions to minimize the impact of potential SQL injection attacks.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- VulDB
- Date Reserved
- 2025-10-05T06:06:44.503Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 68e3134894eb61166f9d7982
Added to database: 10/6/2025, 12:54:32 AM
Last enriched: 10/6/2025, 1:04:09 AM
Last updated: 10/7/2025, 11:51:21 AM
Views: 15
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