CVE-2025-3168 Overview
A SQL injection vulnerability has been identified in PHPGurukul Time Table Generator System version 1.0. This vulnerability exists within the /admin/edit-class.php file, where improper handling of the editid parameter allows attackers to inject malicious SQL queries. The vulnerability can be exploited remotely without authentication, potentially enabling unauthorized access to sensitive database information, data manipulation, and compromise of the underlying system.
Critical Impact
Unauthenticated attackers can exploit this SQL injection vulnerability remotely to extract sensitive data, modify database contents, or potentially escalate to remote code execution depending on database configuration.
Affected Products
- PHPGurukul Time Table Generator System 1.0
- Installations using the vulnerable /admin/edit-class.php endpoint
- All deployments without input validation on the editid parameter
Discovery Timeline
- 2025-04-03 - CVE-2025-3168 published to NVD
- 2025-05-07 - Last updated in NVD database
Technical Details for CVE-2025-3168
Vulnerability Analysis
This SQL injection vulnerability (CWE-89) stems from improper neutralization of special elements used in SQL commands within the /admin/edit-class.php file. The application fails to properly sanitize user-supplied input in the editid parameter before incorporating it into SQL queries. This allows an attacker to inject arbitrary SQL syntax, breaking out of the intended query context and executing malicious database commands.
The vulnerability is classified under both CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component) and CWE-89 (SQL Injection), indicating that the fundamental issue is insufficient input validation and output encoding when constructing database queries.
Root Cause
The root cause of this vulnerability is the direct inclusion of user-controlled input (editid parameter) into SQL queries without proper sanitization, parameterization, or prepared statements. The application appears to concatenate user input directly into the SQL query string, allowing attackers to manipulate the query structure by injecting SQL metacharacters such as single quotes, semicolons, or UNION operators.
Attack Vector
The attack can be executed remotely over the network without requiring any authentication or user interaction. An attacker would craft a malicious HTTP request to the /admin/edit-class.php endpoint, manipulating the editid parameter to include SQL injection payloads.
Typical exploitation techniques for this type of vulnerability include:
- Union-based injection: Appending UNION SELECT statements to extract data from other database tables
- Boolean-based blind injection: Using conditional statements to infer database contents character by character
- Time-based blind injection: Employing database delay functions to extract information when direct output is not available
- Error-based injection: Triggering database error messages that reveal sensitive information
For detailed technical information and proof-of-concept details, refer to the GitHub CVE Issue Discussion and VulDB #303127.
Detection Methods for CVE-2025-3168
Indicators of Compromise
- Unusual HTTP requests to /admin/edit-class.php containing SQL metacharacters in the editid parameter
- Database error messages in application logs indicating malformed SQL queries
- Unexpected database query patterns including UNION SELECT, SLEEP(), or BENCHMARK() functions
- Evidence of data exfiltration or unauthorized database modifications
Detection Strategies
- Implement Web Application Firewall (WAF) rules to detect SQL injection patterns in request parameters
- Monitor application logs for requests containing suspicious characters such as single quotes, semicolons, or SQL keywords in the editid parameter
- Deploy database activity monitoring to identify anomalous queries originating from the web application
- Utilize SentinelOne Singularity platform to detect post-exploitation behaviors such as unauthorized data access or lateral movement
Monitoring Recommendations
- Enable verbose logging for the web application and database servers to capture all requests to administrative endpoints
- Configure alerts for failed SQL query attempts and database errors that may indicate injection attempts
- Implement rate limiting on the /admin/edit-class.php endpoint to slow down automated exploitation attempts
- Regularly review database access logs for queries that deviate from normal application behavior
How to Mitigate CVE-2025-3168
Immediate Actions Required
- Restrict access to the /admin/edit-class.php endpoint via IP whitelisting or VPN requirements
- Implement input validation to reject non-numeric values in the editid parameter
- Deploy a Web Application Firewall with SQL injection detection rules as a temporary protective measure
- Consider taking the application offline if it contains sensitive data until a proper fix can be implemented
Patch Information
As of the last update on 2025-05-07, no official vendor patch has been released for this vulnerability. Organizations using PHPGurukul Time Table Generator System should monitor the PHP Gurukul Security Resource for security updates. In the absence of an official patch, implementing the workarounds and mitigations described below is strongly recommended.
Workarounds
- Modify the /admin/edit-class.php source code to use prepared statements with parameterized queries instead of string concatenation
- Add input validation to ensure the editid parameter contains only numeric values using functions like intval() or is_numeric()
- Implement database user privilege restrictions to limit the impact of successful SQL injection (principle of least privilege)
- Deploy network segmentation to isolate the database server from direct internet access
# Example Apache configuration to restrict access to admin endpoints
<Directory /var/www/html/admin>
# Restrict access to specific IP addresses
Require ip 192.168.1.0/24
Require ip 10.0.0.0/8
# Enable mod_security rules for SQL injection
SecRuleEngine On
SecRule ARGS "@detectSQLi" "id:1,deny,status:403,msg:'SQL Injection Detected'"
</Directory>
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


