CVE-2025-6830 in Studio
Summary
by MITRE • 02/09/2026
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Xpoda Türkiye Information Technology Inc. Password Module allows SQL Injection.
This issue affects Password Module: through 11022026.
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Analysis
by VulDB Data Team • 06/06/2026
This vulnerability represents a critical sql injection flaw within the password module of a software system developed by Xpoda Türkiye Information Technology Inc. The weakness stems from inadequate input sanitization mechanisms that fail to properly neutralize special characters and control sequences before incorporating them into sql commands. The vulnerability specifically impacts versions of the password module up to and including build 11022026, indicating a potential regression or design flaw that has persisted through multiple iterations of the software lifecycle. The improper handling of user inputs allows malicious actors to inject sql commands that can manipulate database operations, potentially leading to unauthorized data access, modification, or deletion.
The technical implementation of this vulnerability aligns with common sql injection attack patterns where user-supplied data is directly concatenated into sql query strings without proper escaping or parameterization. This flaw creates an environment where attackers can exploit the lack of input validation to execute arbitrary sql commands against the underlying database system. The vulnerability exists at the application level where user inputs are processed and transformed into database queries, making it particularly dangerous as it bypasses normal authentication and authorization mechanisms. This type of vulnerability falls under the category of cwe-89 sql injection as defined by the common weakness enumeration, which specifically addresses the improper handling of sql command structures.
The operational impact of this vulnerability extends beyond simple data theft to encompass potential complete system compromise. An attacker could leverage this weakness to extract sensitive user credentials, personal information, or other confidential data stored within the password module's database. The attack surface is particularly concerning given that the vulnerability affects a password management system, which typically handles highly sensitive authentication data. Successful exploitation could result in privilege escalation, data corruption, or even complete database compromise, potentially affecting all users of the system. The vulnerability also aligns with several attack techniques documented in the attack tactic and technique knowledge base, particularly those related to credential access and data extraction through sql injection methods.
Mitigation strategies should focus on implementing proper input validation and parameterized queries to eliminate the possibility of sql command injection. The recommended approach involves adopting prepared statements or parameterized queries that separate sql command structure from data values, effectively neutralizing the threat of injection attacks. Additionally, implementing comprehensive input sanitization routines that filter or escape special characters before database processing will significantly reduce the attack surface. The system should also incorporate proper error handling to prevent information disclosure that could aid attackers in crafting more sophisticated attacks. Security measures should include regular code reviews, automated vulnerability scanning, and maintaining up-to-date security patches. Organizations should also implement database access controls and monitoring systems to detect unusual sql query patterns that might indicate exploitation attempts, as outlined in various security frameworks and best practices for sql injection prevention.