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CVE Vulnerability Database
Vulnerability Database/CVE-2025-13235

CVE-2025-13235: Janobe Inventory System SQLi Vulnerability

CVE-2025-13235 is a SQL injection vulnerability in Janobe Inventory Management System that allows remote attackers to manipulate database queries via the login page. This article covers technical details, impact, and mitigation.

Published: March 25, 2026

CVE-2025-13235 Overview

CVE-2025-13235 is a SQL Injection vulnerability affecting the Janobe Inventory Management System version 1.0. The vulnerability exists in the /admin/login.php file, where improper handling of the user_email parameter allows attackers to inject malicious SQL statements. This flaw can be exploited remotely without authentication, potentially allowing unauthorized access to the database, data exfiltration, or manipulation of stored information.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to bypass authentication, extract sensitive data, or modify database contents in the Inventory Management System without requiring prior authentication.

Affected Products

  • Janobe Inventory Management System 1.0

Discovery Timeline

  • 2025-11-16 - CVE-2025-13235 published to NVD
  • 2025-11-18 - Last updated in NVD database

Technical Details for CVE-2025-13235

Vulnerability Analysis

This SQL Injection vulnerability (CWE-89) stems from insufficient input validation in the authentication mechanism of the Inventory Management System. The user_email parameter in the /admin/login.php endpoint is directly concatenated into SQL queries without proper sanitization or parameterized queries. This classic injection flaw allows attackers to manipulate the underlying SQL logic, potentially bypassing authentication entirely or extracting data from the database.

The vulnerability is classified under both CWE-89 (Improper Neutralization of Special Elements used in an SQL Command) and CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component), indicating that user-supplied input is being passed unsanitized to the database query engine.

Root Cause

The root cause is improper input validation and the lack of parameterized queries in the authentication logic. The user_email parameter is directly incorporated into SQL statements without escaping special characters or using prepared statements. This allows attackers to inject SQL syntax that alters the intended query logic.

Attack Vector

The attack can be executed remotely over the network without requiring any authentication. An attacker can craft malicious input containing SQL metacharacters (such as single quotes, semicolons, or SQL keywords) in the user_email field of the login form. When submitted, this input is processed by the PHP script and executed against the database, allowing the attacker to:

  • Bypass authentication by injecting always-true conditions
  • Extract sensitive user credentials and business data
  • Modify or delete database records
  • Potentially escalate to command execution depending on database configuration

The vulnerability has been publicly disclosed, and exploitation details are available through GitHub CVE Issue Tracking. Attackers typically target the login form by submitting specially crafted payloads in the email field that terminate the original query and append malicious SQL commands.

Detection Methods for CVE-2025-13235

Indicators of Compromise

  • Unusual login attempts with special characters (', ", ;, --, OR, UNION) in the email field
  • Database error messages appearing in application logs or responses
  • Unexpected database queries or access patterns in database audit logs
  • Authentication bypasses from unknown IP addresses

Detection Strategies

  • Implement Web Application Firewall (WAF) rules to detect SQL injection patterns in POST parameters
  • Monitor application logs for SQL syntax errors or database exceptions
  • Review access logs for repeated failed login attempts followed by successful authentication
  • Deploy database activity monitoring to detect anomalous query patterns

Monitoring Recommendations

  • Enable detailed logging for the /admin/login.php endpoint
  • Configure alerts for database error messages in application responses
  • Monitor for unusual data access patterns in the inventory database
  • Implement rate limiting on authentication endpoints to slow automated attacks

How to Mitigate CVE-2025-13235

Immediate Actions Required

  • Remove the Inventory Management System from public internet access until patched
  • Implement input validation and sanitization for all user-supplied parameters
  • Deploy a Web Application Firewall (WAF) with SQL injection detection rules
  • Audit database logs for signs of previous exploitation

Patch Information

No official vendor patch has been identified at this time. The software is distributed by itsourcecode and details are available at the IT Source Code Resource. Organizations using this system should implement the workarounds below and monitor for vendor updates. Additional vulnerability tracking information is available via VulDB #332561.

Workarounds

  • Implement prepared statements/parameterized queries in the authentication code
  • Apply strict input validation to reject SQL metacharacters in the user_email field
  • Restrict database user privileges to minimum required permissions
  • Place the application behind a reverse proxy with WAF capabilities
  • Consider migrating to a more actively maintained inventory management solution
bash
# Example WAF rule for ModSecurity to block SQL injection attempts
SecRule ARGS:user_email "@detectSQLi" \
    "id:100001,\
    phase:2,\
    deny,\
    status:403,\
    log,\
    msg:'SQL Injection attempt detected in user_email parameter',\
    tag:'attack-sqli',\
    tag:'CVE-2025-13235'"

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

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechJanobe Inventory Management System

  • SeverityMEDIUM

  • CVSS Score6.9

  • EPSS Probability0.05%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityLow
  • CWE References
  • CWE-74

  • CWE-89
  • Technical References
  • GitHub CVE Issue Tracking

  • IT Source Code Resource

  • VulDB CTI ID #332561

  • VulDB #332561

  • VulDB Submission #686701
  • Related CVEs
  • CVE-2025-13257: Janobe Inventory System SQLi Vulnerability

  • CVE-2025-13210: Janobe Inventory System SQLi Vulnerability

  • CVE-2025-13233: Janobe Inventory Management SQLI Vulnerability

  • CVE-2025-13234: Janobe Inventory System SQLi Vulnerability
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