CVE-2025-5669: SQL Injection in PHPGurukul Medical Card Generation System
A vulnerability classified as critical was found in PHPGurukul Medical Card Generation System 1.0. This vulnerability affects unknown code of the file /admin/unreadenq.php. The manipulation of the argument ID leads to sql injection. The attack can be initiated remotely. The exploit has been disclosed to the public and may be used.
AI Analysis
Technical Summary
CVE-2025-5669 is a SQL Injection vulnerability identified in version 1.0 of the PHPGurukul Medical Card Generation System, specifically within the /admin/unreadenq.php file. The vulnerability arises due to improper sanitization or validation of the 'ID' parameter, which is directly used in SQL queries. An attacker can remotely manipulate this parameter to inject malicious SQL code, potentially altering the intended database queries. This can lead to unauthorized data access, data modification, or even deletion within the backend database. The vulnerability does not require user interaction and can be exploited remotely without authentication, increasing its risk profile. Despite being classified as critical in the description, the CVSS 4.0 score is 5.3 (medium severity), reflecting limited impact on confidentiality, integrity, and availability, and the requirement of low privileges (PR:L) to exploit. The vulnerability has been publicly disclosed, but no known exploits are currently reported in the wild. The affected system is a specialized medical card generation platform, which likely manages sensitive patient and administrative data, making the exploitation of this vulnerability a significant concern for healthcare providers using this software.
Potential Impact
For European organizations, particularly healthcare providers and medical administrative bodies using PHPGurukul Medical Card Generation System 1.0, this vulnerability poses a risk of unauthorized access to sensitive patient data, including personal health information. Exploitation could lead to data breaches, violating GDPR regulations and resulting in legal and financial penalties. Additionally, attackers could manipulate or delete medical card records, disrupting healthcare services and patient care continuity. The medium CVSS score suggests limited scope of impact, but given the sensitivity of healthcare data, even moderate breaches can have severe reputational and operational consequences. The remote and unauthenticated nature of the exploit increases the risk of automated attacks or mass exploitation attempts, especially if the system is exposed to the internet without adequate network protections.
Mitigation Recommendations
Organizations should immediately audit their use of PHPGurukul Medical Card Generation System 1.0 and restrict access to the /admin/unreadenq.php endpoint to trusted internal networks only. Implementing Web Application Firewalls (WAFs) with SQL injection detection rules can help block malicious payloads targeting the 'ID' parameter. Since no official patch is currently available, organizations should apply manual input validation and parameterized queries or prepared statements in the affected code to prevent injection. Additionally, monitoring database logs for unusual query patterns and implementing strict least-privilege database access controls can limit potential damage. Regular backups of the database should be maintained to enable recovery in case of data tampering. Finally, organizations should consider upgrading or migrating to a more secure and actively maintained medical card management system.
Affected Countries
Germany, France, United Kingdom, Italy, Spain, Netherlands, Belgium, Sweden
CVE-2025-5669: SQL Injection in PHPGurukul Medical Card Generation System
Description
A vulnerability classified as critical was found in PHPGurukul Medical Card Generation System 1.0. This vulnerability affects unknown code of the file /admin/unreadenq.php. The manipulation of the argument ID leads to sql injection. The attack can be initiated remotely. The exploit has been disclosed to the public and may be used.
AI-Powered Analysis
Technical Analysis
CVE-2025-5669 is a SQL Injection vulnerability identified in version 1.0 of the PHPGurukul Medical Card Generation System, specifically within the /admin/unreadenq.php file. The vulnerability arises due to improper sanitization or validation of the 'ID' parameter, which is directly used in SQL queries. An attacker can remotely manipulate this parameter to inject malicious SQL code, potentially altering the intended database queries. This can lead to unauthorized data access, data modification, or even deletion within the backend database. The vulnerability does not require user interaction and can be exploited remotely without authentication, increasing its risk profile. Despite being classified as critical in the description, the CVSS 4.0 score is 5.3 (medium severity), reflecting limited impact on confidentiality, integrity, and availability, and the requirement of low privileges (PR:L) to exploit. The vulnerability has been publicly disclosed, but no known exploits are currently reported in the wild. The affected system is a specialized medical card generation platform, which likely manages sensitive patient and administrative data, making the exploitation of this vulnerability a significant concern for healthcare providers using this software.
Potential Impact
For European organizations, particularly healthcare providers and medical administrative bodies using PHPGurukul Medical Card Generation System 1.0, this vulnerability poses a risk of unauthorized access to sensitive patient data, including personal health information. Exploitation could lead to data breaches, violating GDPR regulations and resulting in legal and financial penalties. Additionally, attackers could manipulate or delete medical card records, disrupting healthcare services and patient care continuity. The medium CVSS score suggests limited scope of impact, but given the sensitivity of healthcare data, even moderate breaches can have severe reputational and operational consequences. The remote and unauthenticated nature of the exploit increases the risk of automated attacks or mass exploitation attempts, especially if the system is exposed to the internet without adequate network protections.
Mitigation Recommendations
Organizations should immediately audit their use of PHPGurukul Medical Card Generation System 1.0 and restrict access to the /admin/unreadenq.php endpoint to trusted internal networks only. Implementing Web Application Firewalls (WAFs) with SQL injection detection rules can help block malicious payloads targeting the 'ID' parameter. Since no official patch is currently available, organizations should apply manual input validation and parameterized queries or prepared statements in the affected code to prevent injection. Additionally, monitoring database logs for unusual query patterns and implementing strict least-privilege database access controls can limit potential damage. Regular backups of the database should be maintained to enable recovery in case of data tampering. Finally, organizations should consider upgrading or migrating to a more secure and actively maintained medical card management system.
Affected Countries
For access to advanced analysis and higher rate limits, contact root@offseq.com
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- VulDB
- Date Reserved
- 2025-06-04T12:52:03.807Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 6841d76c182aa0cae2e986d7
Added to database: 6/5/2025, 5:44:12 PM
Last enriched: 7/7/2025, 4:42:30 PM
Last updated: 8/4/2025, 8:34:42 AM
Views: 14
Related Threats
CVE-2025-52621: CWE-346 Origin Validation Error in HCL Software BigFix SaaS Remediate
MediumCVE-2025-52620: CWE-20 Improper Input Validation in HCL Software BigFix SaaS Remediate
MediumCVE-2025-52619: CWE-209 Generation of Error Message Containing Sensitive Information in HCL Software BigFix SaaS Remediate
MediumCVE-2025-52618: CWE-89 Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') in HCL Software BigFix SaaS Remediate
MediumCVE-2025-43201: An app may be able to unexpectedly leak a user's credentials in Apple Apple Music Classical for Android
HighActions
Updates to AI analysis are available only with a Pro account. Contact root@offseq.com for access.
Need enhanced features?
Contact root@offseq.com for Pro access with improved analysis and higher rate limits.