CVE-2025-8249 Overview
A critical SQL injection vulnerability has been discovered in code-projects Exam Form Submission version 1.0. This security flaw affects the file /admin/update_s3.php, where improper handling of the credits parameter allows attackers to inject malicious SQL commands. The vulnerability can be exploited remotely without authentication, potentially enabling unauthorized database access, data manipulation, and information disclosure.
Critical Impact
Remote attackers can exploit this SQL injection vulnerability to extract sensitive data, modify database records, or potentially compromise the underlying database server through the vulnerable credits parameter in the admin panel.
Affected Products
- code-projects Exam Form Submission 1.0
Discovery Timeline
- 2025-07-28 - CVE-2025-8249 published to NVD
- 2025-07-30 - Last updated in NVD database
Technical Details for CVE-2025-8249
Vulnerability Analysis
This SQL injection vulnerability exists in the administrative component of the Exam Form Submission application. The vulnerable endpoint /admin/update_s3.php fails to properly sanitize user-supplied input in the credits parameter before incorporating it into SQL queries. This classic injection flaw allows attackers to manipulate the intended SQL logic, potentially bypassing authentication mechanisms, extracting sensitive student and examination data, or modifying database contents.
The vulnerability is network-accessible with low attack complexity, requiring no special privileges or user interaction to exploit. The public disclosure of this exploit increases the risk of active exploitation against unpatched installations.
Root Cause
The root cause of this vulnerability is insufficient input validation and the lack of parameterized queries in the update_s3.php file. The application directly concatenates user-supplied data from the credits parameter into SQL statements without proper sanitization or the use of prepared statements. This violates secure coding practices (CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component) and allows attackers to inject arbitrary SQL syntax.
Attack Vector
The attack can be initiated remotely over the network by sending specially crafted HTTP requests to the vulnerable /admin/update_s3.php endpoint. An attacker can manipulate the credits parameter value to include SQL metacharacters and commands. Typical exploitation techniques include UNION-based injection to extract data from other tables, blind SQL injection to infer database contents, or stacked queries to execute additional commands depending on the database configuration.
The vulnerability manifests when malicious input is passed through the credits parameter to the database layer. Attackers can craft payloads that modify query logic to bypass authentication, dump database contents, or potentially execute system commands if database permissions allow. For technical exploitation details, refer to the GitHub CVE Issue Tracker where the vulnerability has been publicly documented.
Detection Methods for CVE-2025-8249
Indicators of Compromise
- Unusual or malformed HTTP requests to /admin/update_s3.php containing SQL syntax in the credits parameter
- Database error messages appearing in application logs indicating SQL syntax errors
- Unexpected database queries or data exfiltration patterns in database audit logs
- Evidence of automated SQL injection scanning tools targeting the application
Detection Strategies
- Implement Web Application Firewall (WAF) rules to detect and block common SQL injection patterns in HTTP parameters
- Monitor web server access logs for requests to /admin/update_s3.php with suspicious payloads containing SQL keywords such as UNION, SELECT, OR 1=1, or comment sequences
- Enable database query logging to identify anomalous queries originating from the web application
- Deploy intrusion detection systems (IDS) with signatures for SQL injection attack patterns
Monitoring Recommendations
- Configure real-time alerting for repeated failed or malformed requests to administrative endpoints
- Implement database activity monitoring to detect unauthorized data access or schema enumeration attempts
- Review application and database logs regularly for evidence of injection attempts or successful exploitation
How to Mitigate CVE-2025-8249
Immediate Actions Required
- Restrict access to the /admin/ directory using IP whitelisting or VPN requirements
- Consider temporarily disabling the affected update_s3.php functionality until a patch is applied
- Implement input validation at the web application firewall level to block SQL injection payloads
- Review database permissions to ensure the application account has minimal necessary privileges
Patch Information
As of the last modification date, no official vendor patch has been released for this vulnerability. Organizations using code-projects Exam Form Submission 1.0 should monitor the Code Projects Resource for security updates. The vulnerability details have been submitted to VulDB for tracking purposes.
Workarounds
- Implement prepared statements or parameterized queries in the update_s3.php file to prevent SQL injection
- Apply server-side input validation to ensure the credits parameter only accepts expected numeric values
- Deploy a Web Application Firewall (WAF) with SQL injection protection rules enabled
- Restrict network access to administrative functions using firewall rules or authentication requirements
For environments requiring continued operation, consider applying manual code fixes to implement parameterized queries:
# Configuration example - Restrict access to admin directory via .htaccess
# Place this file in the /admin/ directory
<Files "update_s3.php">
Order Deny,Allow
Deny from all
Allow from 192.168.1.0/24
</Files>
# Enable mod_security rules for SQL injection protection
SecRuleEngine On
SecRule ARGS "(\%27)|(\')|(\-\-)|(\%23)|(#)" "id:1,phase:2,deny,status:403,msg:'SQL Injection Attempt'"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

