CVE-2025-51672: n/a
A time-based blind SQL injection vulnerability was identified in the PHPGurukul Dairy Farm Shop Management System 1.3. The vulnerability exists in the manage-companies.php file and allows remote attackers to execute arbitrary SQL code via the companyname parameter in a POST request.
AI Analysis
Technical Summary
CVE-2025-51672 is a time-based blind SQL injection vulnerability discovered in the PHPGurukul Dairy Farm Shop Management System version 1.3. The vulnerability resides specifically in the 'manage-companies.php' file, where the 'companyname' parameter in a POST request is not properly sanitized or validated. This flaw allows a remote attacker to inject arbitrary SQL code into the backend database queries. Because it is a time-based blind SQL injection, the attacker cannot directly see the results of the injected queries but can infer information by measuring the response time delays caused by the injected SQL commands. Exploiting this vulnerability enables an attacker to extract sensitive data, modify or delete database records, and potentially escalate privileges within the application or underlying database. The lack of authentication requirements or user interaction details is not explicitly stated, but given the nature of the vulnerability in a management system, it is likely accessible to unauthenticated remote attackers if the application is exposed. No patches or fixes have been linked yet, and no known exploits are reported in the wild as of the publication date (June 26, 2025). The absence of a CVSS score indicates that this vulnerability is newly disclosed and has not yet been fully assessed for severity by standard scoring systems.
Potential Impact
For European organizations using the PHPGurukul Dairy Farm Shop Management System, this vulnerability poses a significant risk to the confidentiality, integrity, and availability of their business-critical data. Dairy farm management systems typically store sensitive operational data including company details, supplier and customer information, inventory, and financial transactions. Exploitation could lead to unauthorized data disclosure, manipulation of company records, disruption of business operations, and potential financial losses. Given the agricultural sector's importance in many European countries, such a compromise could affect supply chains and local economies. Moreover, if attackers leverage this vulnerability to gain deeper access, it could serve as a foothold for lateral movement within the network, increasing the risk of broader organizational compromise. The time-based blind SQL injection nature makes exploitation more complex but still feasible for skilled attackers, especially if the system is internet-facing without proper network segmentation or firewall protections.
Mitigation Recommendations
European organizations should immediately conduct a thorough security assessment of any PHPGurukul Dairy Farm Shop Management System deployments. Specific mitigations include: 1) Implement strict input validation and parameterized queries or prepared statements in the 'manage-companies.php' file to prevent SQL injection. 2) Restrict access to the management system to trusted internal networks or VPNs to reduce exposure. 3) Monitor and analyze web server logs for unusual POST requests targeting the 'companyname' parameter to detect potential exploitation attempts. 4) Employ Web Application Firewalls (WAFs) with rules designed to detect and block SQL injection patterns, particularly time-based blind techniques. 5) Regularly back up databases and test restoration procedures to mitigate data loss risks. 6) Engage with PHPGurukul or the software vendor to obtain patches or updates addressing this vulnerability as soon as they become available. 7) Conduct user training to recognize and report suspicious system behavior. These steps go beyond generic advice by focusing on the specific vulnerable parameter and the operational context of the affected system.
Affected Countries
Germany, France, Netherlands, Poland, Italy, Spain, United Kingdom
CVE-2025-51672: n/a
Description
A time-based blind SQL injection vulnerability was identified in the PHPGurukul Dairy Farm Shop Management System 1.3. The vulnerability exists in the manage-companies.php file and allows remote attackers to execute arbitrary SQL code via the companyname parameter in a POST request.
AI-Powered Analysis
Technical Analysis
CVE-2025-51672 is a time-based blind SQL injection vulnerability discovered in the PHPGurukul Dairy Farm Shop Management System version 1.3. The vulnerability resides specifically in the 'manage-companies.php' file, where the 'companyname' parameter in a POST request is not properly sanitized or validated. This flaw allows a remote attacker to inject arbitrary SQL code into the backend database queries. Because it is a time-based blind SQL injection, the attacker cannot directly see the results of the injected queries but can infer information by measuring the response time delays caused by the injected SQL commands. Exploiting this vulnerability enables an attacker to extract sensitive data, modify or delete database records, and potentially escalate privileges within the application or underlying database. The lack of authentication requirements or user interaction details is not explicitly stated, but given the nature of the vulnerability in a management system, it is likely accessible to unauthenticated remote attackers if the application is exposed. No patches or fixes have been linked yet, and no known exploits are reported in the wild as of the publication date (June 26, 2025). The absence of a CVSS score indicates that this vulnerability is newly disclosed and has not yet been fully assessed for severity by standard scoring systems.
Potential Impact
For European organizations using the PHPGurukul Dairy Farm Shop Management System, this vulnerability poses a significant risk to the confidentiality, integrity, and availability of their business-critical data. Dairy farm management systems typically store sensitive operational data including company details, supplier and customer information, inventory, and financial transactions. Exploitation could lead to unauthorized data disclosure, manipulation of company records, disruption of business operations, and potential financial losses. Given the agricultural sector's importance in many European countries, such a compromise could affect supply chains and local economies. Moreover, if attackers leverage this vulnerability to gain deeper access, it could serve as a foothold for lateral movement within the network, increasing the risk of broader organizational compromise. The time-based blind SQL injection nature makes exploitation more complex but still feasible for skilled attackers, especially if the system is internet-facing without proper network segmentation or firewall protections.
Mitigation Recommendations
European organizations should immediately conduct a thorough security assessment of any PHPGurukul Dairy Farm Shop Management System deployments. Specific mitigations include: 1) Implement strict input validation and parameterized queries or prepared statements in the 'manage-companies.php' file to prevent SQL injection. 2) Restrict access to the management system to trusted internal networks or VPNs to reduce exposure. 3) Monitor and analyze web server logs for unusual POST requests targeting the 'companyname' parameter to detect potential exploitation attempts. 4) Employ Web Application Firewalls (WAFs) with rules designed to detect and block SQL injection patterns, particularly time-based blind techniques. 5) Regularly back up databases and test restoration procedures to mitigate data loss risks. 6) Engage with PHPGurukul or the software vendor to obtain patches or updates addressing this vulnerability as soon as they become available. 7) Conduct user training to recognize and report suspicious system behavior. These steps go beyond generic advice by focusing on the specific vulnerable parameter and the operational context of the affected system.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- mitre
- Date Reserved
- 2025-06-16T00:00:00.000Z
- Cvss Version
- null
- State
- PUBLISHED
Threat ID: 685d651dca1063fb874274d6
Added to database: 6/26/2025, 3:19:57 PM
Last enriched: 6/26/2025, 3:35:33 PM
Last updated: 8/17/2025, 12:17:26 PM
Views: 22
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