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Vulnerability Database/CVE-2026-33134

CVE-2026-33134: Wegia Wegia SQL Injection Vulnerability

CVE-2026-33134 is an authenticated SQL injection flaw in Wegia Wegia that allows attackers to execute arbitrary SQL commands and compromise the database. This article covers technical details, affected versions, and mitigation.

Published:

CVE-2026-33134 Overview

CVE-2026-33134 is an authenticated SQL Injection vulnerability affecting WeGIA, a web manager application designed for charitable institutions. The vulnerability exists in versions 3.6.5 and below within the html/matPat/restaurar_produto.php endpoint. An authenticated attacker can inject arbitrary SQL commands through the id_produto GET parameter, potentially leading to full database compromise.

Critical Impact

This SQL Injection vulnerability enables authenticated attackers to execute arbitrary SQL commands, potentially resulting in unauthorized data access, data manipulation, and complete database compromise affecting sensitive charitable institution data.

Affected Products

  • WeGIA versions 3.6.5 and below
  • WeGIA web manager installations with access to html/matPat/restaurar_produto.php
  • Charitable institution management systems using vulnerable WeGIA deployments

Discovery Timeline

  • 2026-03-20 - CVE-2026-33134 published to NVD
  • 2026-03-20 - Last updated in NVD database

Technical Details for CVE-2026-33134

Vulnerability Analysis

This SQL Injection vulnerability represents a classic web application security flaw where user-supplied input is directly incorporated into SQL queries without proper sanitization. The vulnerable script restaurar_produto.php retrieves the id_produto parameter directly from the $_GET global array and interpolates it into two SQL query strings without any protective measures. The lack of input validation allows attackers with valid authentication credentials to manipulate database queries by crafting malicious parameter values. This could enable extraction of sensitive data from the database, modification of existing records, or complete database compromise depending on the database user's privilege level.

Root Cause

The root cause of this vulnerability is improper input validation (CWE-89: SQL Injection). The application fails to sanitize, type-cast, or parameterize the id_produto parameter before using it in SQL queries. Specifically, the vulnerable code does not implement:

  • Type-casting (e.g., (int) conversion)
  • Input sanitization or escaping
  • Parameterized queries using prepare/execute statements

This allows user-controlled input to break out of the intended SQL query context and inject arbitrary SQL commands.

Attack Vector

The attack is network-based and requires low-privilege authenticated access to the WeGIA application. An attacker can exploit this vulnerability by:

  1. Authenticating to the WeGIA application with valid credentials
  2. Navigating to or sending a crafted request to /html/matPat/restaurar_produto.php
  3. Injecting malicious SQL syntax through the id_produto GET parameter
  4. Manipulating the resulting SQL queries to extract data, modify records, or perform other database operations

The vulnerability can be exploited through standard HTTP GET requests, making it accessible through any web browser or HTTP client once authenticated. See the GitHub Security Advisory for additional technical details.

Detection Methods for CVE-2026-33134

Indicators of Compromise

  • Unusual or malformed requests to /html/matPat/restaurar_produto.php containing SQL syntax characters (quotes, semicolons, UNION keywords)
  • Web access logs showing the id_produto parameter with non-numeric values or SQL command syntax
  • Database logs indicating unexpected queries or errors originating from the restaurar_produto.php endpoint
  • Anomalous database read/write patterns or data exfiltration attempts

Detection Strategies

  • Implement Web Application Firewall (WAF) rules to detect SQL injection patterns in the id_produto parameter
  • Monitor application logs for requests to restaurar_produto.php with suspicious parameter values
  • Deploy database activity monitoring to detect unauthorized queries or data access patterns
  • Use intrusion detection systems (IDS) with SQL injection signature detection

Monitoring Recommendations

  • Enable detailed logging for the /html/matPat/ directory and related endpoints
  • Configure alerts for SQL error messages in application logs that may indicate injection attempts
  • Monitor database query logs for malformed or unexpected SQL statements
  • Review authentication logs for accounts accessing the vulnerable endpoint with unusual frequency

How to Mitigate CVE-2026-33134

Immediate Actions Required

  • Upgrade WeGIA to version 3.6.6 or later immediately
  • If immediate patching is not possible, restrict access to the html/matPat/restaurar_produto.php endpoint
  • Review database access logs for potential prior exploitation
  • Consider implementing additional input validation at the web server or WAF level as a defense-in-depth measure

Patch Information

The vulnerability has been fixed in WeGIA version 3.6.6. Organizations should upgrade to this version or later to remediate the vulnerability. The fix is available through the official GitHub release. The patch implementation can be reviewed in the associated pull request.

Workarounds

  • Implement network-level access controls to restrict access to the vulnerable endpoint until patching is complete
  • Deploy a Web Application Firewall (WAF) rule to block requests containing SQL injection patterns in the id_produto parameter
  • Temporarily disable or remove access to the restaurar_produto.php script if the functionality is not critical
  • Apply principle of least privilege to database accounts used by the WeGIA application to limit potential damage
bash
# Example: Restrict access to vulnerable endpoint via Apache .htaccess
<Files "restaurar_produto.php">
    Order deny,allow
    Deny from all
    # Allow only from trusted admin IPs
    Allow from 10.0.0.0/8
</Files>

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

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