CVE-2026-1472 in Evaluación de Desempeño
Summary
by MITRE • 01/27/2026
An out-of-band SQL injection vulnerability (OOB SQLi) has been detected in the Performance Evaluation (EDD) application developed by Gabinete Técnico de Programación. Exploiting this vulnerability in the parameter 'txAny' in '/evaluacion_competencias_autoeval_list.aspx', could allow an attacker to extract sensitive information from the database through external channels, without the affected application returning the data directly, compromising the confidentiality of the stored information.
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Analysis
by VulDB Data Team • 02/11/2026
The CVE-2026-1472 vulnerability represents a critical out-of-band sql injection flaw within the Performance Evaluation application developed by Gabinete Técnico de Programación. This vulnerability specifically targets the txAny parameter within the /evaluacion_competencias_autoeval_list.aspx endpoint, creating a significant security risk that directly violates the principles of data confidentiality and integrity. The vulnerability's classification as an out-of-band sql injection attack indicates that attackers can extract database information through external communication channels rather than relying on direct data return mechanisms, making detection and mitigation more challenging. This type of vulnerability falls under CWE-648, which specifically addresses improper access to remote resources, and represents a sophisticated attack vector that leverages the application's interaction with external systems to exfiltrate sensitive data without triggering traditional injection detection mechanisms. The affected application's architecture appears to lack proper input validation and sanitization measures, allowing malicious payloads to traverse through the parameter validation process and establish unauthorized communication channels with external systems. The vulnerability's exploitation potential is particularly concerning as it enables attackers to bypass standard database query result interception methods, making it more difficult for security monitoring systems to detect malicious activity. This attack vector aligns with ATT&CK technique T1071.004, which covers application layer protocol manipulation, and represents a sophisticated approach to data exfiltration that can be used to extract sensitive information from the database through external DNS or HTTP requests.
The technical implementation of this vulnerability stems from inadequate parameter validation within the txAny input field, which fails to properly sanitize user-supplied data before processing. When an attacker submits malicious input through this parameter, the application processes the data without sufficient security controls, creating opportunities for external data extraction through out-of-band communication channels. The vulnerability's impact extends beyond simple information disclosure, as it can potentially allow attackers to enumerate database schemas, extract user credentials, and access sensitive performance evaluation data that may contain personal information, confidential assessments, and institutional data. The out-of-band nature of this attack means that the malicious SQL payloads are designed to trigger external requests to attacker-controlled systems, which can be monitored to extract database contents. This approach makes the vulnerability particularly dangerous because it can bypass traditional web application firewalls and intrusion detection systems that typically monitor for direct sql injection patterns. The attack methodology relies on the application's inability to properly validate and sanitize input, allowing crafted sql commands to be executed in the database context, with the results being transmitted through external channels rather than being returned directly to the application's response.
The operational impact of CVE-2026-1472 extends far beyond immediate data exposure, potentially compromising the entire security posture of the organization using the Performance Evaluation application. Successful exploitation could lead to unauthorized access to sensitive personnel data, performance evaluation records, and potentially institutional assessment information that may contain confidential business intelligence or personal identifiers. The vulnerability creates a persistent threat vector that can be exploited repeatedly without detection, as the out-of-band communication pattern makes it difficult for security teams to identify malicious activity through standard log analysis. This type of vulnerability directly affects the confidentiality aspect of the CIA triad and can result in compliance violations, regulatory penalties, and significant reputational damage. Organizations relying on this application may face legal consequences if sensitive data is compromised, particularly if the data contains personally identifiable information or protected health information. The vulnerability's impact is amplified by the fact that it affects a performance evaluation system, which likely contains sensitive employee assessments, personal development plans, and confidential organizational data that could be used for competitive advantage or malicious purposes. The attack's stealth nature makes it particularly dangerous for long-term monitoring and incident response, as the external communication patterns can be easily concealed within normal network traffic.
Mitigation strategies for CVE-2026-1472 must address both immediate remediation and long-term security hardening measures to prevent exploitation of this out-of-band sql injection vulnerability. The primary recommendation involves implementing proper input validation and parameterized queries throughout the application, specifically targeting the txAny parameter in the affected endpoint. Organizations should deploy web application firewalls with rules specifically designed to detect and block out-of-band sql injection attempts, including monitoring for external DNS requests or HTTP communications triggered by sql injection payloads. The implementation of proper output encoding and content security policies can help prevent malicious payloads from being executed in the database context, while regular security audits should be conducted to identify similar vulnerabilities throughout the application codebase. Network-level monitoring should be enhanced to detect unusual external communication patterns that may indicate exploitation attempts, particularly focusing on DNS queries or HTTP requests that originate from the application server. Additionally, organizations should implement database activity monitoring solutions that can detect unauthorized database access patterns and alert security teams to potential exploitation attempts. The remediation process should include comprehensive code review to identify similar input validation weaknesses, along with regular security training for development teams to prevent future vulnerabilities of this nature. The solution must also incorporate proper error handling mechanisms that prevent information leakage through error messages, which could provide attackers with additional information about the database structure and application functionality. Regular penetration testing and vulnerability assessments should be conducted to ensure that the implemented mitigations remain effective against evolving attack techniques.