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CVE Vulnerability Database
Vulnerability Database/CVE-2026-36874

CVE-2026-36874: Basic Library System SQL Injection Flaw

CVE-2026-36874 is a SQL injection vulnerability in Basic Library System v1.0 affecting the load_student.php endpoint. Attackers can manipulate database queries to access sensitive data. This article covers technical details, impact, and mitigation.

Published: April 17, 2026

CVE-2026-36874 Overview

Sourcecodester Basic Library System v1.0 contains a SQL Injection vulnerability in the /librarysystem/load_student.php endpoint. This web application vulnerability allows authenticated attackers with high privileges to inject malicious SQL queries through improperly sanitized input parameters, potentially leading to unauthorized data access.

Critical Impact

Authenticated attackers with administrative privileges can exploit this SQL Injection flaw to extract sensitive information from the underlying database, compromising the confidentiality of library system data including student records.

Affected Products

  • Razormist Basic Library System v1.0
  • Systems running razormist:basic_library_system version 1.0

Discovery Timeline

  • 2026-04-13 - CVE-2026-36874 published to NVD
  • 2026-04-14 - Last updated in NVD database

Technical Details for CVE-2026-36874

Vulnerability Analysis

This SQL Injection vulnerability (CWE-89) exists in the load_student.php file of the Basic Library System. The vulnerability occurs when user-supplied input is directly incorporated into SQL queries without proper sanitization or parameterization. While the attack requires network access and high-level privileges, successful exploitation allows attackers to read confidential data from the database.

The vulnerability affects the data loading functionality within the library management system, specifically in operations related to student record retrieval. An attacker with administrative access could craft malicious SQL statements to bypass intended query logic and extract data beyond their authorization scope.

Root Cause

The root cause of this vulnerability is improper input validation and the failure to use parameterized queries or prepared statements in the load_student.php script. User-controlled input is directly concatenated into SQL query strings, creating an injection point that malicious actors can exploit to manipulate database queries.

Attack Vector

The attack vector is network-based, requiring an authenticated session with high privileges. An attacker must first gain administrative access to the Basic Library System before exploiting this vulnerability. Once authenticated, the attacker can inject SQL syntax through vulnerable parameters in the /librarysystem/load_student.php endpoint to manipulate query execution and retrieve unauthorized data.

The vulnerability exploitation involves sending crafted HTTP requests containing SQL injection payloads to the vulnerable endpoint. Due to the lack of input sanitization, these payloads are interpreted as part of the SQL query, allowing the attacker to modify query behavior. For detailed technical information, refer to the GitHub Bug Report.

Detection Methods for CVE-2026-36874

Indicators of Compromise

  • Unusual SQL error messages appearing in application logs from load_student.php
  • HTTP requests to /librarysystem/load_student.php containing SQL syntax characters such as single quotes, semicolons, or UNION statements
  • Database query logs showing unexpected SELECT statements or data extraction attempts
  • Abnormal administrative session activity targeting student data endpoints

Detection Strategies

  • Implement Web Application Firewall (WAF) rules to detect SQL injection patterns in requests to the Basic Library System
  • Monitor access logs for suspicious requests to load_student.php containing encoded or unencoded SQL keywords
  • Deploy database activity monitoring to alert on unusual query patterns or bulk data extraction attempts
  • Review authentication logs for compromised administrative accounts being used from unexpected locations

Monitoring Recommendations

  • Enable detailed logging for the /librarysystem/load_student.php endpoint
  • Configure alerts for database errors indicating malformed SQL queries
  • Monitor for large data transfers from the database server that may indicate data exfiltration
  • Implement network-level monitoring for unusual traffic patterns to database ports

How to Mitigate CVE-2026-36874

Immediate Actions Required

  • Restrict administrative access to the Basic Library System to trusted users only
  • Implement network-level access controls to limit exposure of the application
  • Review and audit all administrative accounts for unauthorized access
  • Consider taking the vulnerable endpoint offline until a patch is available

Patch Information

No official vendor patch has been released at this time. Organizations using Sourcecodester Basic Library System v1.0 should monitor the vendor's official channels for security updates. Given the nature of this open-source project, users may need to implement their own code-level fixes.

The recommended remediation approach is to modify the load_student.php file to use prepared statements with parameterized queries instead of direct string concatenation for SQL query construction.

Workarounds

  • Implement prepared statements and parameterized queries in the vulnerable load_student.php file
  • Deploy a Web Application Firewall (WAF) with SQL injection detection rules in front of the application
  • Restrict network access to the application using firewall rules or VPN requirements
  • Apply the principle of least privilege to minimize the number of users with high-privilege access
bash
# Example WAF rule configuration (ModSecurity)
# Block common SQL injection patterns for the vulnerable endpoint
SecRule REQUEST_URI "@contains /librarysystem/load_student.php" \
    "id:100001,phase:2,deny,status:403,\
    chain"
SecRule ARGS "@detectSQLi" \
    "t:none,t:urlDecodeUni,t:htmlEntityDecode,\
    msg:'SQL Injection Attempt Blocked'"

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechRazormist Basic Library System

  • SeverityLOW

  • CVSS Score2.7

  • EPSS Probability0.02%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:N/A:N
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityNone
  • CWE References
  • CWE-89
  • Technical References
  • GitHub Bug Report
  • Related CVEs
  • CVE-2026-36873: Basic Library System SQL Injection Flaw

  • CVE-2026-36872: Basic Library System SQL Injection Flaw
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