CVE-2025-65133: School Management System SQLi Vulnerability

CVE-2025-65133 Overview

A SQL injection vulnerability exists in the School Management System (version 1.0) developed by manikandan580. An unauthenticated or authenticated remote attacker can supply a crafted HTTP request to the affected endpoint to manipulate SQL query logic and extract sensitive database information. This vulnerability (CWE-89) allows attackers to bypass authentication mechanisms, extract confidential data, and potentially compromise the entire database backend.

Critical Impact

Unauthenticated remote attackers can exploit this SQL injection flaw to extract sensitive student, staff, and administrative data from the database without requiring any prior authentication.

Affected Products

• School Management System version 1.0 by manikandan580

Discovery Timeline

• April 14, 2026 - CVE-2025-65133 published to NVD
• April 16, 2026 - Last updated in NVD database

Technical Details for CVE-2025-65133

Vulnerability Analysis

This SQL injection vulnerability affects the School Management System's web application endpoint, where user-supplied input is directly concatenated into SQL queries without proper sanitization or parameterization. The flaw allows remote attackers to inject arbitrary SQL commands through maliciously crafted HTTP requests.

The vulnerability is particularly severe because it does not require authentication to exploit. An attacker can send specially crafted requests to the vulnerable endpoint and manipulate the underlying SQL query structure. This can lead to unauthorized data extraction, authentication bypass, data modification, and in some cases, complete database server compromise depending on the database privileges configured for the application.

Root Cause

The root cause of this vulnerability is improper input validation and the use of dynamic SQL query construction. User-controlled input parameters are directly interpolated into SQL statements without using prepared statements or parameterized queries. This classic SQL injection pattern occurs when developers trust user input and fail to implement proper input sanitization mechanisms.

Attack Vector

The attack vector for CVE-2025-65133 is network-based, requiring no user interaction or prior authentication. An attacker can exploit this vulnerability by sending crafted HTTP requests containing SQL injection payloads to the affected endpoint. The payloads can include UNION-based injection techniques to extract data from other tables, Boolean-based blind injection to infer database structure, time-based blind injection for environments where error messages are suppressed, and stacked queries to execute additional SQL commands if supported by the database driver.

Technical details and proof-of-concept information are available in the GitHub Security Advisory and the accompanying PoC documentation.

Detection Methods for CVE-2025-65133

Indicators of Compromise

• HTTP requests containing SQL syntax characters such as single quotes ('), double dashes (--), semicolons (;), or UNION/SELECT keywords in parameter values
• Unusual database errors appearing in application logs indicating SQL syntax errors
• Abnormal database query patterns or unexpectedly large result sets being returned
• Evidence of data exfiltration or unauthorized database access in audit logs

Detection Strategies

• Deploy Web Application Firewall (WAF) rules to detect and block common SQL injection patterns in HTTP request parameters
• Implement application-level logging to capture all database queries and monitor for anomalous SQL syntax
• Configure database auditing to detect unusual SELECT statements accessing sensitive tables
• Use SentinelOne's Singularity platform to monitor for suspicious process behavior and network anomalies associated with exploitation attempts

Monitoring Recommendations

• Enable verbose logging on the web application server to capture full HTTP request details including parameters
• Monitor database server logs for failed login attempts, syntax errors, and privilege escalation attempts
• Implement real-time alerting for requests containing known SQL injection signatures
• Regularly review access logs for repeated requests to the vulnerable endpoint with varying payloads

How to Mitigate CVE-2025-65133

Immediate Actions Required

• Immediately restrict public access to the School Management System until a patch is available or mitigations are in place
• Deploy a Web Application Firewall (WAF) with SQL injection detection rules in front of the application
• Review and audit all database access logs for signs of prior exploitation
• Consider taking the application offline if it contains sensitive student or staff data

Patch Information

No official patch information is available at this time. Users should monitor the GitHub Security Advisory for updates from the developer. If source code access is available, implement parameterized queries or prepared statements for all database interactions as a remediation measure.

Workarounds

• Implement input validation and sanitization on all user-supplied parameters at the application level
• Use a Web Application Firewall (WAF) to filter malicious SQL injection payloads before they reach the application
• Restrict database user privileges to minimum required permissions, limiting the impact of successful exploitation
• Enable database connection encryption and implement network segmentation to isolate the database server

For environments where the application source code is accessible, the recommended mitigation is to replace all dynamic SQL query construction with prepared statements or parameterized queries. Consult the security advisory documentation for specific technical guidance on implementing these fixes.