CVE-2019-25328 in XnConvert
Summary
by MITRE • 02/13/2026
XnConvert 1.82 contains a denial of service vulnerability in its registration code input field that allows attackers to crash the application. Attackers can generate a 9000-byte buffer of repeated characters and paste it into the registration code field to trigger an application crash.
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Analysis
by VulDB Data Team • 02/13/2026
The vulnerability identified as CVE-2019-25328 represents a classic buffer overflow condition within the XnConvert image processing software version 1.82. This issue manifests specifically within the registration code input validation mechanism, where the application fails to properly handle excessively long input strings. The flaw demonstrates characteristics consistent with CWE-121, which describes stack-based buffer overflow conditions, and aligns with ATT&CK technique T1499.004 for denial of service attacks. The vulnerability exists because the software does not implement proper input length validation or bounds checking when processing user-supplied registration codes, creating an exploitable condition that can be triggered through simple input manipulation.
The technical implementation of this vulnerability involves the application's handling of user input through the registration code field, where attackers can craft a specific payload consisting of 9000 bytes of repeated characters. This particular buffer size and structure triggers an unhandled exception within the application's memory management routines, causing the software to terminate unexpectedly. The vulnerability operates at the application layer and requires no special privileges or complex exploitation techniques, making it particularly concerning for widespread impact. The crash occurs due to the application's inability to properly manage memory allocation when processing the oversized input, leading to a segmentation fault or similar memory access violation that results in program termination.
From an operational perspective, this denial of service vulnerability significantly impacts the usability and reliability of XnConvert 1.82, as legitimate users may inadvertently trigger the crash through malformed input or malicious actors can exploit this weakness to disrupt service availability. The vulnerability affects the software's registration functionality and potentially impacts the overall user experience, as the application becomes unstable and unresponsive when processing the crafted input. The impact extends beyond simple inconvenience to potential business disruption, particularly in environments where the software is used for critical image processing workflows or where availability is essential for operations. The vulnerability also demonstrates poor input validation practices that could indicate broader security weaknesses within the application's codebase.
Mitigation strategies for this vulnerability should focus on implementing proper input validation and bounds checking mechanisms within the registration code processing code. The recommended approach includes establishing maximum length limits for registration code fields and implementing robust error handling routines that can gracefully process malformed inputs without crashing. Software vendors should also consider implementing input sanitization techniques that can detect and reject suspicious input patterns before they reach the core processing logic. Additionally, users should be advised to avoid pasting unusually long strings into registration fields and to keep their software updated with patches that address this specific vulnerability. The fix should be implemented following secure coding practices that align with industry standards such as those recommended by the Open Web Application Security Project and the Center for Internet Security.