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CVE Vulnerability Database

CVE-2026-7072: Canteen Management System SQLi Vulnerability

CVE-2026-7072 is a SQL injection flaw in CodePanda Canteen Management System 1.0 affecting /api/login.php that allows remote attackers to manipulate database queries. This post covers technical details, affected versions, and mitigation.

Published:

CVE-2026-7072 Overview

A SQL injection vulnerability has been identified in CodePanda Source canteen_management_system version 1.0. The vulnerability exists in the /api/login.php file, where improper handling of the Username parameter allows attackers to inject malicious SQL queries. This flaw enables remote attackers to manipulate database queries without authentication, potentially leading to unauthorized data access, data modification, or complete database compromise.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to bypass authentication, extract sensitive data, modify database contents, or potentially gain further access to the underlying system through the vulnerable login endpoint.

Affected Products

  • CodePanda Source canteen_management_system 1.0

Discovery Timeline

  • 2026-04-27 - CVE-2026-7072 published to NVD
  • 2026-04-29 - Last updated in NVD database

Technical Details for CVE-2026-7072

Vulnerability Analysis

This SQL injection vulnerability (classified under CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component) affects the login functionality of the canteen management system. The vulnerable endpoint at /api/login.php fails to properly sanitize user input in the Username parameter before incorporating it into SQL queries. This allows attackers to craft malicious input that alters the intended SQL query structure, potentially bypassing authentication mechanisms or extracting sensitive information from the database.

The vulnerability is remotely exploitable without any authentication or user interaction required. This makes it particularly dangerous as it exposes the application to attacks from any network-connected adversary. The public availability of exploit information increases the risk of active exploitation.

Root Cause

The root cause of this vulnerability is insufficient input validation and sanitization in the login endpoint. The application directly incorporates user-supplied data from the Username parameter into SQL queries without using parameterized queries or prepared statements. This allows special SQL characters and commands to be interpreted as part of the query syntax rather than as literal data values.

Attack Vector

The attack vector is network-based, allowing remote exploitation without authentication. An attacker can send specially crafted HTTP requests to the /api/login.php endpoint with malicious SQL syntax embedded in the Username parameter. The injected SQL code is then executed by the database server, allowing the attacker to:

  • Bypass authentication and gain unauthorized access
  • Extract sensitive data from the database including user credentials
  • Modify or delete database records
  • Potentially escalate privileges or pivot to other system resources

Since the vulnerability is in the login endpoint, it represents a critical entry point that could be leveraged for initial access in a broader attack chain.

Detection Methods for CVE-2026-7072

Indicators of Compromise

  • Unusual SQL error messages in application logs originating from /api/login.php
  • HTTP requests to /api/login.php containing SQL keywords such as UNION, SELECT, OR 1=1, or comment sequences (--, #)
  • Multiple failed login attempts with suspicious username patterns containing special characters
  • Database query logs showing malformed or unexpected queries from the login function

Detection Strategies

  • Deploy web application firewall (WAF) rules to detect and block SQL injection patterns in the Username parameter
  • Monitor application logs for SQL syntax errors that may indicate injection attempts
  • Implement intrusion detection system (IDS) signatures for common SQL injection payloads targeting login endpoints
  • Use database activity monitoring to detect anomalous query patterns

Monitoring Recommendations

  • Enable detailed logging for the /api/login.php endpoint to capture full request parameters
  • Configure alerts for high volumes of failed authentication attempts
  • Monitor database logs for queries containing unusual operators or concatenated strings
  • Review access logs for requests with URL-encoded SQL injection characters

How to Mitigate CVE-2026-7072

Immediate Actions Required

  • Restrict network access to the affected canteen management system until patches can be applied
  • Implement WAF rules to filter SQL injection attempts targeting the login endpoint
  • Review database permissions to ensure the application uses least-privilege access
  • Consider disabling or restricting access to /api/login.php if the application is not critical

Patch Information

As of the last update, no official vendor patch has been identified. Organizations should monitor the GitHub Issue Report and VulDB entry for updates on remediation options. Contact the vendor (CodePanda Source) directly for patch availability information.

Workarounds

  • Implement input validation at the web server or reverse proxy level to reject requests with SQL injection patterns
  • Deploy a web application firewall configured with SQL injection detection rules
  • If source code access is available, modify the login.php file to use parameterized queries or prepared statements for all database operations
  • Consider isolating the affected system on a separate network segment with restricted access until a permanent fix is available

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

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