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CVE-2025-13300: SQL Injection in itsourcecode Web-Based Internet Laboratory Management System

0
Medium
VulnerabilityCVE-2025-13300cvecve-2025-13300
Published: Mon Nov 17 2025 (11/17/2025, 20:32:05 UTC)
Source: CVE Database V5
Vendor/Project: itsourcecode
Product: Web-Based Internet Laboratory Management System

Description

A vulnerability has been found in itsourcecode Web-Based Internet Laboratory Management System 1.0. Affected is an unknown function of the file /settings/controller.php. The manipulation leads to sql injection. It is possible to initiate the attack remotely. The exploit has been disclosed to the public and may be used.

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 02/24/2026, 22:05:17 UTC

Technical Analysis

The vulnerability identified as CVE-2025-13300 affects the itsourcecode Web-Based Internet Laboratory Management System version 1.0. It is a SQL injection flaw located in an unspecified function within the /settings/controller.php file. SQL injection vulnerabilities occur when user-supplied input is improperly sanitized and directly included in SQL queries, allowing attackers to manipulate the database queries executed by the application. This particular vulnerability can be exploited remotely without any authentication or user interaction, making it highly accessible to attackers. The CVSS 4.0 vector indicates network attack vector (AV:N), low attack complexity (AC:L), no privileges required (PR:N), no user interaction (UI:N), and partial impacts on confidentiality, integrity, and availability (VC:L, VI:L, VA:L). The scope remains unchanged (S:N), and the exploitability is rated as probable (E:P). Although no known exploits are currently observed in the wild, the public disclosure of the vulnerability details increases the likelihood of exploitation attempts. The vulnerability could allow attackers to extract sensitive data, modify or delete database records, or disrupt the normal operation of the laboratory management system. The lack of vendor patches at the time of disclosure necessitates immediate interim mitigations such as input validation, parameterized queries, and deployment of web application firewalls to detect and block injection attempts. Organizations relying on this system, particularly those managing sensitive laboratory data, must prioritize addressing this vulnerability to prevent data breaches and operational disruptions.

Potential Impact

The impact of CVE-2025-13300 on organizations worldwide can be significant, especially for entities using the itsourcecode Web-Based Internet Laboratory Management System in academic, research, or clinical laboratory environments. Successful exploitation can lead to unauthorized access to sensitive laboratory data, including experimental results, personal information, or intellectual property. Attackers could alter or delete critical data, undermining data integrity and potentially causing erroneous research outcomes or operational failures. Availability may also be affected if attackers execute destructive queries or cause database crashes, disrupting laboratory workflows. The vulnerability’s remote and unauthenticated exploitation vector increases the risk profile, as attackers do not need valid credentials or user interaction to launch attacks. This can lead to widespread compromise if the system is exposed to the internet without adequate protections. Furthermore, the public disclosure of the vulnerability details may prompt opportunistic attackers to develop and deploy exploits, increasing the urgency for remediation. Organizations failing to address this vulnerability risk reputational damage, regulatory penalties for data breaches, and operational downtime.

Mitigation Recommendations

1. Apply official patches or updates from itsourcecode as soon as they become available to remediate the SQL injection vulnerability. 2. Until patches are released, implement strict input validation on all user-supplied data, especially inputs processed by /settings/controller.php, to reject or sanitize malicious SQL syntax. 3. Refactor the application code to use parameterized queries or prepared statements to prevent direct concatenation of user input into SQL commands. 4. Deploy a Web Application Firewall (WAF) with rules specifically designed to detect and block SQL injection attempts targeting the affected endpoint. 5. Restrict external network access to the laboratory management system, limiting it to trusted internal networks or VPNs to reduce exposure. 6. Conduct thorough security audits and penetration testing focused on injection flaws in the application. 7. Monitor database logs and application logs for unusual or suspicious query patterns indicative of injection attempts. 8. Educate development and operations teams on secure coding practices to prevent similar vulnerabilities in future releases.

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Technical Details

Data Version
5.2
Assigner Short Name
VulDB
Date Reserved
2025-11-17T12:54:52.204Z
Cvss Version
4.0
State
PUBLISHED

Threat ID: 691b891926779d9a5eb241ee

Added to database: 11/17/2025, 8:44:09 PM

Last enriched: 2/24/2026, 10:05:17 PM

Last updated: 3/25/2026, 1:19:11 AM

Views: 112

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