CVE-2019-25475 in SQL Server Password Changer
Summary
by MITRE • 03/11/2026
SQL Server Password Changer 1.90 contains a buffer overflow vulnerability that allows local attackers to crash the application by supplying an oversized payload. Attackers can inject 6000 bytes of data into the User Name and Registration Code field to trigger a denial of service condition.
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Analysis
by VulDB Data Team • 03/14/2026
The vulnerability identified as CVE-2019-25475 resides within SQL Server Password Changer version 1.90, representing a critical buffer overflow flaw that fundamentally compromises application stability and security. This issue manifests when the application processes user input through the User Name and Registration Code fields, which are susceptible to oversized data injection attacks. The vulnerability operates at the core of memory management practices within the software, where insufficient bounds checking allows malicious input to overflow allocated buffer space. The specific trigger involves injecting 6000 bytes of data into these input fields, which exceeds the application's intended buffer capacity and subsequently causes unpredictable behavior. This type of vulnerability directly maps to CWE-121, which describes stack-based buffer overflow conditions where insufficient bounds checking permits data to overwrite adjacent memory locations. The attack vector is classified as local since it requires physical access or execution privileges within the target system environment, making it particularly concerning for scenarios where untrusted input might be processed by privileged applications.
The operational impact of this buffer overflow vulnerability extends beyond simple application instability, creating potential pathways for more sophisticated attacks within the system. When the application crashes due to buffer overflow conditions, it may leave behind inconsistent states or corrupted memory segments that could be exploited further by determined attackers. The denial of service condition effectively prevents legitimate users from accessing the password management functionality, disrupting business operations and potentially creating security gaps where users might be forced to seek alternative, potentially less secure methods for password management. From a security perspective, this vulnerability demonstrates poor input validation practices and inadequate memory management protocols within the application's codebase. The specific buffer size of 6000 bytes suggests that the developers either underestimated the potential input lengths or failed to implement proper input sanitization mechanisms, which aligns with ATT&CK technique T1499.3 for denial of service attacks through resource exhaustion or memory corruption.
Mitigation strategies for CVE-2019-25475 should prioritize immediate software updates from the vendor, as the most effective solution involves applying the patched version that implements proper buffer size validation and input sanitization. Organizations should implement comprehensive input validation measures that enforce strict length limitations on all user-supplied data, particularly for fields that interact with database operations or system functions. The implementation of address space layout randomization and stack canaries could provide additional defense-in-depth measures against potential exploitation attempts. Security teams should also conduct thorough code reviews focusing on buffer handling practices and ensure that all input fields undergo proper bounds checking before processing. Network segmentation and privilege separation can help limit the potential impact of successful exploitation attempts, while monitoring systems should be configured to detect unusual application crash patterns or memory access violations. The vulnerability also highlights the importance of secure coding practices and adherence to industry standards such as those outlined in the OWASP Secure Coding Practices, which emphasize the critical need for proper input validation and memory management to prevent buffer overflow conditions that can lead to system instability and potential privilege escalation opportunities.