CVE-2025-11314: 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 has been found 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. Affected is the function findRolePage of the file findSingConfigPage.do. Such manipulation of the argument sort leads to sql injection. The attack may be launched remotely. The exploit has been disclosed to the 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-2025-11314 identifies a SQL injection vulnerability in version 1.0 of the Tipray Data Leakage Prevention System (天锐数据泄露防护系统), specifically in the findRolePage function within the findSingConfigPage.do endpoint. The vulnerability is caused by insufficient validation and sanitization of the 'sort' parameter, which is directly incorporated into SQL queries. This flaw allows an unauthenticated remote attacker to inject arbitrary SQL code, potentially enabling unauthorized data retrieval, modification, or deletion within the backend database. The vulnerability does not require user interaction or authentication, increasing its exploitability. The vendor was notified early but has not issued a patch or response, and while no known exploits are currently active in the wild, the public disclosure increases the risk of exploitation attempts. The CVSS 4.0 vector indicates network attack vector (AV:N), low attack complexity (AC:L), no privileges required (PR:N), no user interaction (UI:N), and partial impacts on confidentiality, integrity, and availability (VC:L, VI:L, VA:L). This vulnerability could be leveraged to bypass data protection controls, undermining the primary function of the affected system, which is designed to prevent data leakage. The lack of vendor response and patch availability necessitates immediate defensive measures by users of this product.
Potential Impact
For European organizations, exploitation of this vulnerability could lead to unauthorized access to sensitive corporate data, including intellectual property, personal data protected under GDPR, and other confidential information. The integrity of data could be compromised, leading to potential data manipulation or corruption, which may affect business operations and decision-making. Availability impacts, although partial, could disrupt the Data Leakage Prevention system’s functionality, increasing the risk of undetected data exfiltration. Given the system’s role in preventing data leaks, a successful attack could result in significant compliance violations, reputational damage, and financial penalties under European data protection regulations. Organizations relying on this product for critical data protection may face increased risk exposure until mitigations or patches are applied. The remote, unauthenticated nature of the exploit increases the likelihood of attacks, especially in environments with internet-facing management interfaces.
Mitigation Recommendations
Since no official patch or vendor response is available, European organizations should implement immediate compensating controls. Deploy Web Application Firewalls (WAFs) with custom rules to detect and block SQL injection attempts targeting the 'sort' parameter in the findSingConfigPage.do endpoint. Conduct thorough network segmentation to restrict access to the affected system, limiting exposure to trusted internal networks only. Enable detailed logging and monitoring of all database queries and web requests to detect anomalous activities indicative of injection attempts. Regularly audit and review application logs for suspicious parameter values. Consider deploying runtime application self-protection (RASP) solutions if feasible. If possible, perform code review or temporary input validation enhancements to sanitize the 'sort' parameter at the application level. Prepare incident response plans specific to potential data leakage incidents stemming from this vulnerability. Maintain heightened vigilance for any emerging exploit code or vendor updates and apply patches promptly once available.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Poland
CVE-2025-11314: 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 has been found 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. Affected is the function findRolePage of the file findSingConfigPage.do. Such manipulation of the argument sort leads to sql injection. The attack may be launched remotely. The exploit has been disclosed to the 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-2025-11314 identifies a SQL injection vulnerability in version 1.0 of the Tipray Data Leakage Prevention System (天锐数据泄露防护系统), specifically in the findRolePage function within the findSingConfigPage.do endpoint. The vulnerability is caused by insufficient validation and sanitization of the 'sort' parameter, which is directly incorporated into SQL queries. This flaw allows an unauthenticated remote attacker to inject arbitrary SQL code, potentially enabling unauthorized data retrieval, modification, or deletion within the backend database. The vulnerability does not require user interaction or authentication, increasing its exploitability. The vendor was notified early but has not issued a patch or response, and while no known exploits are currently active in the wild, the public disclosure increases the risk of exploitation attempts. The CVSS 4.0 vector indicates network attack vector (AV:N), low attack complexity (AC:L), no privileges required (PR:N), no user interaction (UI:N), and partial impacts on confidentiality, integrity, and availability (VC:L, VI:L, VA:L). This vulnerability could be leveraged to bypass data protection controls, undermining the primary function of the affected system, which is designed to prevent data leakage. The lack of vendor response and patch availability necessitates immediate defensive measures by users of this product.
Potential Impact
For European organizations, exploitation of this vulnerability could lead to unauthorized access to sensitive corporate data, including intellectual property, personal data protected under GDPR, and other confidential information. The integrity of data could be compromised, leading to potential data manipulation or corruption, which may affect business operations and decision-making. Availability impacts, although partial, could disrupt the Data Leakage Prevention system’s functionality, increasing the risk of undetected data exfiltration. Given the system’s role in preventing data leaks, a successful attack could result in significant compliance violations, reputational damage, and financial penalties under European data protection regulations. Organizations relying on this product for critical data protection may face increased risk exposure until mitigations or patches are applied. The remote, unauthenticated nature of the exploit increases the likelihood of attacks, especially in environments with internet-facing management interfaces.
Mitigation Recommendations
Since no official patch or vendor response is available, European organizations should implement immediate compensating controls. Deploy Web Application Firewalls (WAFs) with custom rules to detect and block SQL injection attempts targeting the 'sort' parameter in the findSingConfigPage.do endpoint. Conduct thorough network segmentation to restrict access to the affected system, limiting exposure to trusted internal networks only. Enable detailed logging and monitoring of all database queries and web requests to detect anomalous activities indicative of injection attempts. Regularly audit and review application logs for suspicious parameter values. Consider deploying runtime application self-protection (RASP) solutions if feasible. If possible, perform code review or temporary input validation enhancements to sanitize the 'sort' parameter at the application level. Prepare incident response plans specific to potential data leakage incidents stemming from this vulnerability. Maintain heightened vigilance for any emerging exploit code or vendor updates and apply patches promptly once available.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- VulDB
- Date Reserved
- 2025-10-05T06:06:49.829Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 68e3200d94eb61166fa26433
Added to database: 10/6/2025, 1:49:01 AM
Last enriched: 10/13/2025, 11:09:12 AM
Last updated: 11/21/2025, 9:40:50 AM
Views: 51
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