CVE-2025-40712 Overview
CVE-2025-40712 is a critical SQL injection vulnerability affecting Quiter Gateway versions prior to 4.7.0. This vulnerability allows an unauthenticated attacker to retrieve, create, update, and delete database contents through the id_concesion parameter in the /<Client>FacturaE/DescargarFactura endpoint. The flaw enables full database manipulation, potentially leading to complete compromise of sensitive data, unauthorized modifications, and data destruction.
Critical Impact
Unauthenticated attackers can fully manipulate the backend database through SQL injection, enabling data theft, unauthorized modifications, and complete database destruction without any prior authentication.
Affected Products
- Quiter Gateway versions prior to 4.7.0
Discovery Timeline
- 2025-07-08 - CVE-2025-40712 published to NVD
- 2025-10-15 - Last updated in NVD database
Technical Details for CVE-2025-40712
Vulnerability Analysis
This SQL injection vulnerability (CWE-89) exists in the invoice download functionality of Quiter Gateway. The application fails to properly sanitize user-supplied input in the id_concesion parameter before incorporating it into SQL queries. This classic injection flaw allows attackers to inject arbitrary SQL statements that are then executed against the backend database with the application's privileges.
The vulnerability is particularly severe because it requires no authentication and can be exploited remotely over the network. An attacker can craft malicious requests to the /<Client>FacturaE/DescargarFactura endpoint containing SQL payloads in the id_concesion parameter. The injected SQL commands execute within the context of the application's database connection, granting the attacker the same database privileges as the application itself.
Root Cause
The root cause of this vulnerability is improper input validation and lack of parameterized queries in the Quiter Gateway application. The id_concesion parameter value is directly concatenated into SQL query strings without proper sanitization or the use of prepared statements. This allows specially crafted input containing SQL syntax to be interpreted as part of the query rather than as literal data values.
Attack Vector
The attack is network-based and requires no authentication or user interaction. An attacker can exploit this vulnerability by sending crafted HTTP requests to the vulnerable endpoint with malicious SQL payloads injected into the id_concesion parameter.
The vulnerability allows attackers to:
- Extract sensitive data from database tables (data exfiltration)
- Modify existing database records (data manipulation)
- Insert new records into the database (unauthorized data creation)
- Delete database contents (data destruction)
- Potentially escalate to operating system command execution depending on database configuration
For detailed technical information about this vulnerability, refer to the INCIBE Security Notice.
Detection Methods for CVE-2025-40712
Indicators of Compromise
- Unusual HTTP requests to the /<Client>FacturaE/DescargarFactura endpoint containing SQL syntax characters such as single quotes, double dashes, semicolons, or UNION keywords
- Database error messages appearing in application logs indicating malformed SQL queries
- Unexpected database queries in database audit logs, particularly those involving system tables or bulk data extraction
- Anomalous data modifications or deletions in application databases without corresponding legitimate user activity
Detection Strategies
- Deploy Web Application Firewall (WAF) rules to detect and block common SQL injection patterns in the id_concesion parameter
- Implement database activity monitoring to alert on unusual query patterns such as UNION-based injection attempts or access to sensitive system tables
- Enable verbose application logging for the DescargarFactura endpoint and monitor for requests containing SQL metacharacters
- Configure intrusion detection systems (IDS) with signatures for SQL injection attack patterns targeting this specific endpoint
Monitoring Recommendations
- Continuously monitor HTTP access logs for the FacturaE/DescargarFactura endpoint for suspicious parameter values
- Set up real-time alerting on database audit logs for queries containing injection indicators like UNION SELECT, OR 1=1, or comment sequences
- Track and investigate any database errors or exceptions originating from the invoice download functionality
- Monitor for data exfiltration indicators such as large result sets or access to tables outside normal application scope
How to Mitigate CVE-2025-40712
Immediate Actions Required
- Upgrade Quiter Gateway to version 4.7.0 or later immediately
- If immediate patching is not possible, restrict network access to the vulnerable endpoint using firewall rules or access control lists
- Deploy WAF rules to filter SQL injection attempts targeting the id_concesion parameter as a temporary mitigation
- Conduct a database audit to identify any evidence of prior exploitation or unauthorized data access
Patch Information
The vulnerability has been addressed in Quiter Gateway version 4.7.0. Organizations should upgrade to this version or later to remediate the vulnerability. For additional details regarding the patch, consult the INCIBE Security Notice.
Workarounds
- Implement strict input validation on the id_concesion parameter at the application or reverse proxy level, allowing only expected alphanumeric values
- Use a Web Application Firewall (WAF) to block requests containing SQL injection patterns in query parameters
- Restrict access to the /<Client>FacturaE/DescargarFactura endpoint to trusted IP ranges or authenticated users only
- Consider temporarily disabling the vulnerable endpoint if the invoice download functionality is not business-critical until the patch can be applied
# Example WAF rule to block SQL injection attempts (ModSecurity syntax)
SecRule ARGS:id_concesion "@detectSQLi" \
"id:100001,\
phase:2,\
deny,\
status:403,\
log,\
msg:'SQL Injection attempt blocked in id_concesion parameter - CVE-2025-40712'"
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


