CVE-2025-13297: SQL Injection in itsourcecode Web-Based Internet Laboratory Management System
A security vulnerability has been detected in itsourcecode Web-Based Internet Laboratory Management System 1.0. The impacted element is an unknown function of the file /course/controller.php. Such manipulation leads to sql injection. The attack can be executed remotely. The exploit has been disclosed publicly and may be used.
AI Analysis
Technical Summary
CVE-2025-13297 is a SQL injection vulnerability identified in the itsourcecode Web-Based Internet Laboratory Management System version 1.0. The vulnerability resides in an unspecified function within the /course/controller.php file, which processes user input in a manner that allows malicious actors to inject arbitrary SQL commands. This injection flaw enables attackers to manipulate backend database queries remotely without requiring authentication or user interaction, potentially leading to unauthorized data disclosure, data modification, or disruption of service. The vulnerability was publicly disclosed on November 17, 2025, and while no active exploits have been reported in the wild, the availability of exploit information increases the risk of future attacks. 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 absence of scope change (S:N) means the impact is confined to the vulnerable component. The affected product is a specialized web-based laboratory management system, likely used in academic or research environments. No official patches or fixes have been linked yet, emphasizing the need for immediate mitigation measures such as input sanitization and query parameterization to prevent exploitation.
Potential Impact
The impact of CVE-2025-13297 on organizations worldwide primarily involves unauthorized access to or manipulation of sensitive laboratory data stored in the backend database of the affected system. Successful exploitation could lead to data leakage, alteration of experimental results, or disruption of laboratory operations, potentially undermining research integrity and confidentiality. Since the vulnerability allows remote exploitation without authentication, attackers can operate from anywhere, increasing the threat surface. However, the impact is somewhat limited by the niche nature of the affected software and the lack of widespread adoption. Organizations relying on this system for managing critical laboratory workflows or sensitive research data are at higher risk. The partial compromise of confidentiality, integrity, and availability could result in reputational damage, regulatory non-compliance, and operational downtime. The absence of known active exploits currently reduces immediate risk but does not eliminate the potential for future attacks, especially given the public disclosure of the vulnerability details.
Mitigation Recommendations
To mitigate CVE-2025-13297 effectively, organizations should implement the following specific measures: 1) Apply any available patches or updates from the vendor as soon as they are released; if no official patch exists, consider upgrading to a newer, unaffected version or alternative software. 2) Conduct a thorough code review of the /course/controller.php file to identify and fix the vulnerable function by implementing parameterized SQL queries or prepared statements to prevent injection. 3) Employ rigorous input validation and sanitization on all user-supplied data before processing it in SQL queries. 4) Restrict network access to the vulnerable web application using firewalls or VPNs, limiting exposure to trusted users only. 5) Monitor web application logs for unusual or suspicious SQL query patterns that may indicate attempted exploitation. 6) Implement web application firewalls (WAFs) with rules designed to detect and block SQL injection attempts targeting this specific endpoint. 7) Educate developers and administrators about secure coding practices and the risks of SQL injection vulnerabilities. 8) Regularly back up database contents to enable recovery in case of data tampering or loss. These targeted actions go beyond generic advice and address the root cause and exposure vectors of this specific vulnerability.
Affected Countries
United States, Germany, United Kingdom, Canada, Australia, Japan, South Korea, France, Netherlands, Sweden
CVE-2025-13297: SQL Injection in itsourcecode Web-Based Internet Laboratory Management System
Description
A security vulnerability has been detected in itsourcecode Web-Based Internet Laboratory Management System 1.0. The impacted element is an unknown function of the file /course/controller.php. Such manipulation leads to sql injection. The attack can be executed remotely. The exploit has been disclosed publicly and may be used.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2025-13297 is a SQL injection vulnerability identified in the itsourcecode Web-Based Internet Laboratory Management System version 1.0. The vulnerability resides in an unspecified function within the /course/controller.php file, which processes user input in a manner that allows malicious actors to inject arbitrary SQL commands. This injection flaw enables attackers to manipulate backend database queries remotely without requiring authentication or user interaction, potentially leading to unauthorized data disclosure, data modification, or disruption of service. The vulnerability was publicly disclosed on November 17, 2025, and while no active exploits have been reported in the wild, the availability of exploit information increases the risk of future attacks. 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 absence of scope change (S:N) means the impact is confined to the vulnerable component. The affected product is a specialized web-based laboratory management system, likely used in academic or research environments. No official patches or fixes have been linked yet, emphasizing the need for immediate mitigation measures such as input sanitization and query parameterization to prevent exploitation.
Potential Impact
The impact of CVE-2025-13297 on organizations worldwide primarily involves unauthorized access to or manipulation of sensitive laboratory data stored in the backend database of the affected system. Successful exploitation could lead to data leakage, alteration of experimental results, or disruption of laboratory operations, potentially undermining research integrity and confidentiality. Since the vulnerability allows remote exploitation without authentication, attackers can operate from anywhere, increasing the threat surface. However, the impact is somewhat limited by the niche nature of the affected software and the lack of widespread adoption. Organizations relying on this system for managing critical laboratory workflows or sensitive research data are at higher risk. The partial compromise of confidentiality, integrity, and availability could result in reputational damage, regulatory non-compliance, and operational downtime. The absence of known active exploits currently reduces immediate risk but does not eliminate the potential for future attacks, especially given the public disclosure of the vulnerability details.
Mitigation Recommendations
To mitigate CVE-2025-13297 effectively, organizations should implement the following specific measures: 1) Apply any available patches or updates from the vendor as soon as they are released; if no official patch exists, consider upgrading to a newer, unaffected version or alternative software. 2) Conduct a thorough code review of the /course/controller.php file to identify and fix the vulnerable function by implementing parameterized SQL queries or prepared statements to prevent injection. 3) Employ rigorous input validation and sanitization on all user-supplied data before processing it in SQL queries. 4) Restrict network access to the vulnerable web application using firewalls or VPNs, limiting exposure to trusted users only. 5) Monitor web application logs for unusual or suspicious SQL query patterns that may indicate attempted exploitation. 6) Implement web application firewalls (WAFs) with rules designed to detect and block SQL injection attempts targeting this specific endpoint. 7) Educate developers and administrators about secure coding practices and the risks of SQL injection vulnerabilities. 8) Regularly back up database contents to enable recovery in case of data tampering or loss. These targeted actions go beyond generic advice and address the root cause and exposure vectors of this specific vulnerability.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulDB
- Date Reserved
- 2025-11-17T12:54:44.019Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 691b66e9c08982598afd8f2b
Added to database: 11/17/2025, 6:18:17 PM
Last enriched: 2/24/2026, 10:04:13 PM
Last updated: 3/23/2026, 1:57:28 PM
Views: 89
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
Need more coverage?
Upgrade to Pro Console for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.
Latest Threats
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.