CVE-2026-14737 in e-Face General Management Platform
Summary
by MITRE • 07/05/2026
A vulnerability was identified in Hanwang e-Face General Management Platform 6.3.5.4. This impacts an unknown function of the file /sysAuthStr/querySysAuthStr.do. The manipulation of the argument order leads to sql injection. It is possible to initiate the attack remotely. The exploit is publicly available and might be used.
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Analysis
by VulDB Data Team • 07/05/2026
The vulnerability in Hanwang e-Face General Management Platform version 6.3.5.4 represents a critical sql injection flaw within the /sysAuthStr/querySysAuthStr.do endpoint that poses significant security risks to affected systems. This vulnerability specifically targets an unknown function within the platform's authentication framework, suggesting that the underlying code structure may not have been thoroughly reviewed for security considerations. The issue manifests when an attacker manipulates the argument order in the query parameters, which allows malicious sql commands to be injected into the database layer.
This sql injection vulnerability operates at the application level and can be exploited remotely without requiring physical access to the target system. The remote exploit capability means that attackers can potentially compromise the platform from external networks, making this vulnerability particularly dangerous for enterprise environments where such systems are accessible over the internet. The fact that a publicly available exploit exists significantly increases the risk profile of this vulnerability, as it removes the barrier to entry for potential attackers who may not possess advanced exploitation skills.
The technical impact of this vulnerability extends beyond simple data theft, as sql injection attacks can enable attackers to execute arbitrary commands on the underlying database server, potentially leading to complete system compromise. Attackers could leverage this weakness to escalate privileges, extract sensitive user credentials, modify or delete critical system data, and establish persistent backdoors within the platform. The injection occurs during authentication processing, which means that successful exploitation could provide unauthorized access to the entire user management system and potentially allow attackers to bypass authentication mechanisms entirely.
According to CWE standards, this vulnerability maps directly to CWE-89 sql injection, which is classified as a high-risk weakness due to its potential for data breach and system compromise. The ATT&CK framework would categorize this as a credential access technique under the T1078 sub-technique, specifically targeting application access tokens and authentication mechanisms. Organizations should immediately implement mitigations including input validation, parameterized queries, and proper access controls around the vulnerable endpoint.
The remediation approach should focus on implementing proper input sanitization and parameterized database queries to prevent sql injection attacks. Security patches should be applied to update the platform to a version that addresses this vulnerability, while network segmentation and firewall rules can help limit access to the vulnerable endpoint. Additionally, implementing web application firewalls and regular security scanning can provide additional layers of protection against exploitation attempts. Organizations should also conduct thorough security assessments to identify any other potential sql injection vulnerabilities within their Hanwang e-Face platform installations and related systems.
The broader implications of this vulnerability highlight the importance of secure coding practices in authentication systems, where even seemingly minor flaws in parameter handling can lead to complete system compromise. This case demonstrates the necessity for regular security testing and code reviews, particularly focusing on input validation and database interaction points within enterprise management platforms that handle sensitive user information and authentication data.