CVE-2025-14203: SQL Injection in code-projects Question Paper Generator
A flaw has been found in code-projects Question Paper Generator up to 1.0. This vulnerability affects unknown code of the file /selectquestionuser.php. This manipulation of the argument subid causes sql injection. Remote exploitation of the attack is possible. The exploit has been published and may be used.
AI Analysis
Technical Summary
CVE-2025-14203 identifies a SQL injection vulnerability in the code-projects Question Paper Generator software, specifically affecting version 1.0. The vulnerability resides in the /selectquestionuser.php file, where the 'subid' parameter is not properly sanitized, allowing an attacker to inject arbitrary SQL commands. This injection flaw can be exploited remotely without requiring authentication or user interaction, making it a significant risk for exposed installations. The vulnerability's CVSS 4.0 vector indicates network attack vector (AV:N), low attack complexity (AC:L), no privileges required (PR:L - low privileges required), no user interaction (UI:N), and low impact on confidentiality, integrity, and availability (VC:L, VI:L, VA:L). The partial impact suggests that while the attacker can manipulate some data or extract limited information, full database compromise is unlikely without further chaining. No official patches have been released yet, and no active exploitation has been reported, but a public exploit is available, increasing the urgency for mitigation. The flaw primarily threatens organizations using this software for generating question papers, potentially exposing sensitive educational data or enabling unauthorized data manipulation. The vulnerability underscores the importance of input validation and the use of parameterized queries in web applications handling database inputs.
Potential Impact
For European organizations, especially educational institutions, testing centers, and academic software providers using the code-projects Question Paper Generator, this vulnerability could lead to unauthorized access to sensitive data such as exam questions, user information, or grading data. The SQL injection could allow attackers to extract confidential information, modify or delete data, or disrupt service availability. This could result in data breaches, loss of trust, regulatory non-compliance (e.g., GDPR violations), and operational disruptions during critical examination periods. The medium severity reflects a moderate but tangible risk, particularly if the software is internet-facing or poorly segmented within internal networks. The availability of a public exploit increases the likelihood of opportunistic attacks targeting vulnerable European entities. Organizations relying on this software without timely mitigation may face reputational damage and potential legal consequences due to compromised data integrity and confidentiality.
Mitigation Recommendations
1. Immediately audit all instances of code-projects Question Paper Generator version 1.0 for exposure of the /selectquestionuser.php endpoint. 2. Implement input validation and sanitization on the 'subid' parameter to ensure only expected data types and values are accepted. 3. Refactor the code to use parameterized queries or prepared statements to prevent SQL injection attacks. 4. Restrict network access to the application, limiting exposure to trusted internal networks or VPNs where possible. 5. Monitor logs for suspicious SQL query patterns or unusual database access attempts targeting the vulnerable parameter. 6. If possible, isolate the database with strict access controls and least privilege principles to minimize damage scope. 7. Engage with the vendor or community to obtain or develop official patches or updated versions addressing this vulnerability. 8. Educate developers and administrators on secure coding practices and the importance of input validation. 9. Consider deploying Web Application Firewalls (WAFs) with custom rules to detect and block SQL injection attempts targeting this endpoint. 10. Prepare incident response plans to quickly address any exploitation attempts.
Affected Countries
Germany, France, United Kingdom, Italy, Spain, Netherlands, Poland
CVE-2025-14203: SQL Injection in code-projects Question Paper Generator
Description
A flaw has been found in code-projects Question Paper Generator up to 1.0. This vulnerability affects unknown code of the file /selectquestionuser.php. This manipulation of the argument subid causes sql injection. Remote exploitation of the attack is possible. The exploit has been published and may be used.
AI-Powered Analysis
Technical Analysis
CVE-2025-14203 identifies a SQL injection vulnerability in the code-projects Question Paper Generator software, specifically affecting version 1.0. The vulnerability resides in the /selectquestionuser.php file, where the 'subid' parameter is not properly sanitized, allowing an attacker to inject arbitrary SQL commands. This injection flaw can be exploited remotely without requiring authentication or user interaction, making it a significant risk for exposed installations. The vulnerability's CVSS 4.0 vector indicates network attack vector (AV:N), low attack complexity (AC:L), no privileges required (PR:L - low privileges required), no user interaction (UI:N), and low impact on confidentiality, integrity, and availability (VC:L, VI:L, VA:L). The partial impact suggests that while the attacker can manipulate some data or extract limited information, full database compromise is unlikely without further chaining. No official patches have been released yet, and no active exploitation has been reported, but a public exploit is available, increasing the urgency for mitigation. The flaw primarily threatens organizations using this software for generating question papers, potentially exposing sensitive educational data or enabling unauthorized data manipulation. The vulnerability underscores the importance of input validation and the use of parameterized queries in web applications handling database inputs.
Potential Impact
For European organizations, especially educational institutions, testing centers, and academic software providers using the code-projects Question Paper Generator, this vulnerability could lead to unauthorized access to sensitive data such as exam questions, user information, or grading data. The SQL injection could allow attackers to extract confidential information, modify or delete data, or disrupt service availability. This could result in data breaches, loss of trust, regulatory non-compliance (e.g., GDPR violations), and operational disruptions during critical examination periods. The medium severity reflects a moderate but tangible risk, particularly if the software is internet-facing or poorly segmented within internal networks. The availability of a public exploit increases the likelihood of opportunistic attacks targeting vulnerable European entities. Organizations relying on this software without timely mitigation may face reputational damage and potential legal consequences due to compromised data integrity and confidentiality.
Mitigation Recommendations
1. Immediately audit all instances of code-projects Question Paper Generator version 1.0 for exposure of the /selectquestionuser.php endpoint. 2. Implement input validation and sanitization on the 'subid' parameter to ensure only expected data types and values are accepted. 3. Refactor the code to use parameterized queries or prepared statements to prevent SQL injection attacks. 4. Restrict network access to the application, limiting exposure to trusted internal networks or VPNs where possible. 5. Monitor logs for suspicious SQL query patterns or unusual database access attempts targeting the vulnerable parameter. 6. If possible, isolate the database with strict access controls and least privilege principles to minimize damage scope. 7. Engage with the vendor or community to obtain or develop official patches or updated versions addressing this vulnerability. 8. Educate developers and administrators on secure coding practices and the importance of input validation. 9. Consider deploying Web Application Firewalls (WAFs) with custom rules to detect and block SQL injection attempts targeting this endpoint. 10. Prepare incident response plans to quickly address any exploitation attempts.
Affected Countries
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Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulDB
- Date Reserved
- 2025-12-07T07:54:47.365Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 6935f4ac4dfbcbe9ef77b262
Added to database: 12/7/2025, 9:42:04 PM
Last enriched: 12/7/2025, 9:57:06 PM
Last updated: 12/8/2025, 2:55:01 AM
Views: 11
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