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Vulnerability Database/CVE-2025-55168

CVE-2025-55168: Wegia Wegia SQL Injection Vulnerability

CVE-2025-55168 is a SQL injection flaw in Wegia Wegia affecting the aplicar_medicamento.php endpoint that allows attackers to execute arbitrary SQL commands. This article covers technical details, affected versions, and mitigation.

Published:

CVE-2025-55168 Overview

CVE-2025-55168 is a critical SQL Injection vulnerability discovered in WeGIA, an open source web manager designed with a focus on the Portuguese language and charitable institutions. The vulnerability exists in the /html/saude/aplicar_medicamento.php endpoint, specifically in the id_fichamedica parameter. This flaw allows attackers to execute arbitrary SQL commands, compromising the confidentiality, integrity, and availability of the database. The vulnerability has been addressed in version 3.4.8.

Critical Impact

This SQL Injection vulnerability enables attackers to execute arbitrary SQL commands through the id_fichamedica parameter, potentially leading to complete database compromise including data theft, modification, and destruction.

Affected Products

  • WeGIA versions prior to 3.4.8
  • WeGIA /html/saude/aplicar_medicamento.php endpoint
  • WeGIA health module (saude) functionality

Discovery Timeline

  • August 12, 2025 - CVE-2025-55168 published to NVD
  • August 14, 2025 - Last updated in NVD database

Technical Details for CVE-2025-55168

Vulnerability Analysis

This SQL Injection vulnerability (CWE-89) exists in the WeGIA web management application, specifically affecting the health records module. The vulnerable endpoint /html/saude/aplicar_medicamento.php accepts user input through the id_fichamedica parameter without proper sanitization or parameterization. This allows attackers to inject malicious SQL statements that are directly executed against the backend database.

The attack can be conducted over the network and requires low privileges to exploit. Given the application's purpose in managing data for charitable institutions, successful exploitation could expose sensitive healthcare and personal information stored within the system.

Root Cause

The root cause of this vulnerability is improper input validation and the lack of parameterized queries in the aplicar_medicamento.php file. The id_fichamedica parameter is directly concatenated into SQL queries without proper sanitization, allowing attackers to break out of the intended query structure and inject their own SQL commands.

Attack Vector

The vulnerability is exploitable over the network by authenticated users with low privileges. An attacker can craft a malicious request to the /html/saude/aplicar_medicamento.php endpoint, injecting SQL commands through the id_fichamedica parameter. Due to the lack of input validation, these commands are executed directly against the database.

The SQL Injection attack can be used to extract sensitive data, modify database contents, delete records, or potentially gain further access to the underlying system depending on database configuration and privileges. Given the application manages healthcare-related data for charitable institutions, the potential for sensitive data exposure is significant.

For technical details and the specific fix implementation, see the GitHub Security Advisory.

Detection Methods for CVE-2025-55168

Indicators of Compromise

  • Unusual or malformed requests to /html/saude/aplicar_medicamento.php containing SQL syntax in the id_fichamedica parameter
  • Database query logs showing unexpected SQL commands or error messages related to the medical records module
  • Anomalous database read/write patterns or unauthorized data exports from tables associated with medical records
  • Web server access logs with suspicious payloads containing SQL keywords like UNION, SELECT, INSERT, DELETE, or comment sequences

Detection Strategies

  • Implement Web Application Firewall (WAF) rules to detect and block SQL injection patterns targeting the id_fichamedica parameter
  • Deploy database activity monitoring to identify anomalous query patterns or unauthorized data access attempts
  • Enable detailed logging on the WeGIA application and correlate with SIEM for real-time alerting on suspicious requests
  • Conduct regular vulnerability scans targeting the WeGIA application to identify unpatched instances

Monitoring Recommendations

  • Monitor web server logs for requests to /html/saude/aplicar_medicamento.php with encoded or obfuscated parameters
  • Set up alerts for database errors or failed query attempts that may indicate exploitation attempts
  • Track application version deployments to ensure all instances are running version 3.4.8 or later

How to Mitigate CVE-2025-55168

Immediate Actions Required

  • Upgrade WeGIA to version 3.4.8 or later immediately to patch this vulnerability
  • Review access logs for any signs of previous exploitation attempts against the vulnerable endpoint
  • Implement network-level restrictions to limit access to the WeGIA application to trusted users only
  • Deploy a Web Application Firewall with SQL injection protection as an additional layer of defense

Patch Information

The vulnerability has been patched in WeGIA version 3.4.8. Organizations should upgrade to this version or later to remediate the SQL Injection vulnerability. The fix can be tracked through the GitHub Issue Discussion and the official GitHub Security Advisory GHSA-6wjm-c879-pjf6.

Workarounds

  • Restrict network access to the /html/saude/aplicar_medicamento.php endpoint until patching is complete
  • Implement strict input validation at the web server or reverse proxy level to block suspicious characters in the id_fichamedica parameter
  • Use a Web Application Firewall configured to block SQL injection attack patterns targeting the vulnerable endpoint
bash
# Example: Apache mod_rewrite rule to block suspicious requests to vulnerable endpoint
# Add to .htaccess or Apache configuration
RewriteEngine On
RewriteCond %{QUERY_STRING} id_fichamedica=.*[\'\"\;\-\-\#]
RewriteRule ^html/saude/aplicar_medicamento\.php$ - [F,L]

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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