CVE-2025-13237: SQL Injection in itsourcecode Inventory Management System
A security flaw has been discovered in itsourcecode Inventory Management System 1.0. Affected is an unknown function of the file /LogSignModal.PHP. The manipulation of the argument U_USERNAME results in sql injection. The attack can be launched remotely. The exploit has been released to the public and may be exploited.
AI Analysis
Technical Summary
CVE-2025-13237 identifies a SQL injection vulnerability in the itsourcecode Inventory Management System version 1.0. The vulnerability exists in the /LogSignModal.PHP file, where the U_USERNAME parameter is not properly sanitized before being used in SQL queries. This allows an unauthenticated remote attacker to inject arbitrary SQL commands, potentially manipulating the backend database. The vulnerability does not require any user interaction or privileges, making it remotely exploitable over the network. The CVSS 4.0 base score is 6.9 (medium severity), reflecting a network attack vector with low complexity and no required authentication, but with limited impact on confidentiality, integrity, and availability. The exploit code has been publicly released, increasing the risk of exploitation, although no active exploitation in the wild has been reported yet. The vulnerability could allow attackers to read, modify, or delete sensitive inventory data, disrupt inventory management operations, or escalate further attacks within the affected environment. The lack of available patches necessitates immediate mitigation efforts. Organizations using this software should audit their systems, apply input validation, and consider deploying web application firewalls to detect and block malicious SQL payloads. Continuous monitoring for unusual database activity is also recommended to detect potential exploitation attempts.
Potential Impact
For European organizations using the itsourcecode Inventory Management System 1.0, this vulnerability poses a risk of unauthorized access and manipulation of inventory data, which could disrupt supply chain operations, financial reporting, and business continuity. Confidential business information and customer data stored in the database could be exposed or altered, leading to reputational damage and regulatory compliance issues under GDPR. The remote and unauthenticated nature of the exploit increases the likelihood of attacks, especially in industries with high reliance on inventory management such as manufacturing, retail, and logistics. Disruption of inventory systems could cause operational delays and financial losses. Furthermore, attackers could leverage this vulnerability as a foothold for lateral movement within corporate networks, potentially escalating to more critical systems. The medium severity rating suggests a moderate but tangible threat that requires timely remediation to avoid exploitation and associated impacts.
Mitigation Recommendations
1. Implement strict input validation and sanitization for the U_USERNAME parameter and any other user-supplied inputs to prevent SQL injection. 2. Deploy a Web Application Firewall (WAF) configured to detect and block SQL injection attempts targeting the vulnerable endpoint. 3. Conduct a thorough code review of the /LogSignModal.PHP file and related components to identify and remediate similar injection flaws. 4. Monitor database logs and application logs for unusual queries or access patterns indicative of exploitation attempts. 5. Isolate the inventory management system within a segmented network zone to limit lateral movement in case of compromise. 6. Engage with the vendor or development team to obtain or develop patches or updates addressing this vulnerability. 7. Educate system administrators and developers about secure coding practices to prevent future injection vulnerabilities. 8. Regularly back up inventory data and verify backup integrity to enable recovery in case of data manipulation or loss.
Affected Countries
Germany, France, United Kingdom, Italy, Spain, Netherlands, Poland, Belgium
CVE-2025-13237: SQL Injection in itsourcecode Inventory Management System
Description
A security flaw has been discovered in itsourcecode Inventory Management System 1.0. Affected is an unknown function of the file /LogSignModal.PHP. The manipulation of the argument U_USERNAME results in sql injection. The attack can be launched remotely. The exploit has been released to the public and may be exploited.
AI-Powered Analysis
Technical Analysis
CVE-2025-13237 identifies a SQL injection vulnerability in the itsourcecode Inventory Management System version 1.0. The vulnerability exists in the /LogSignModal.PHP file, where the U_USERNAME parameter is not properly sanitized before being used in SQL queries. This allows an unauthenticated remote attacker to inject arbitrary SQL commands, potentially manipulating the backend database. The vulnerability does not require any user interaction or privileges, making it remotely exploitable over the network. The CVSS 4.0 base score is 6.9 (medium severity), reflecting a network attack vector with low complexity and no required authentication, but with limited impact on confidentiality, integrity, and availability. The exploit code has been publicly released, increasing the risk of exploitation, although no active exploitation in the wild has been reported yet. The vulnerability could allow attackers to read, modify, or delete sensitive inventory data, disrupt inventory management operations, or escalate further attacks within the affected environment. The lack of available patches necessitates immediate mitigation efforts. Organizations using this software should audit their systems, apply input validation, and consider deploying web application firewalls to detect and block malicious SQL payloads. Continuous monitoring for unusual database activity is also recommended to detect potential exploitation attempts.
Potential Impact
For European organizations using the itsourcecode Inventory Management System 1.0, this vulnerability poses a risk of unauthorized access and manipulation of inventory data, which could disrupt supply chain operations, financial reporting, and business continuity. Confidential business information and customer data stored in the database could be exposed or altered, leading to reputational damage and regulatory compliance issues under GDPR. The remote and unauthenticated nature of the exploit increases the likelihood of attacks, especially in industries with high reliance on inventory management such as manufacturing, retail, and logistics. Disruption of inventory systems could cause operational delays and financial losses. Furthermore, attackers could leverage this vulnerability as a foothold for lateral movement within corporate networks, potentially escalating to more critical systems. The medium severity rating suggests a moderate but tangible threat that requires timely remediation to avoid exploitation and associated impacts.
Mitigation Recommendations
1. Implement strict input validation and sanitization for the U_USERNAME parameter and any other user-supplied inputs to prevent SQL injection. 2. Deploy a Web Application Firewall (WAF) configured to detect and block SQL injection attempts targeting the vulnerable endpoint. 3. Conduct a thorough code review of the /LogSignModal.PHP file and related components to identify and remediate similar injection flaws. 4. Monitor database logs and application logs for unusual queries or access patterns indicative of exploitation attempts. 5. Isolate the inventory management system within a segmented network zone to limit lateral movement in case of compromise. 6. Engage with the vendor or development team to obtain or develop patches or updates addressing this vulnerability. 7. Educate system administrators and developers about secure coding practices to prevent future injection vulnerabilities. 8. Regularly back up inventory data and verify backup integrity to enable recovery in case of data manipulation or loss.
Affected Countries
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulDB
- Date Reserved
- 2025-11-15T06:29:39.595Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 69195fa0d6c6237fbda1960e
Added to database: 11/16/2025, 5:22:40 AM
Last enriched: 11/23/2025, 5:45:27 AM
Last updated: 1/7/2026, 6:08:06 AM
Views: 68
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