CVE-2022-40663 in NIS-Elements Viewer
Summary
by MITRE • 09/15/2022
This vulnerability allows remote attackers to execute arbitrary code on affected installations of NIKON NIS-Elements Viewer 1.2100.1483.0. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the parsing of TIF images. Crafted data in a TIF image can trigger a read past the end of an allocated buffer. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-15697.
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Analysis
by VulDB Data Team • 04/29/2025
CVE-2022-40663 represents a critical buffer overflow vulnerability affecting NIKON NIS-Elements Viewer version 1.2100.1483.0, classified under CWE-125 as "Out-of-bounds Read" within the image parsing component. This vulnerability resides in the TIF image processing module where the application fails to properly validate buffer boundaries during image data parsing. The flaw manifests when the viewer encounters specially crafted TIF files that contain malformed data structures, specifically designed to trigger a read past the end of allocated memory buffers. The vulnerability requires user interaction to be exploited, as victims must either visit a malicious webpage or open a malicious TIF file, making it a classic example of a user-initiated remote code execution vector. Attackers can manipulate the TIF file format to cause the application to read beyond the intended memory boundaries, potentially exposing sensitive data or allowing code execution within the viewer's process context.
The operational impact of this vulnerability extends beyond simple code execution, as it provides attackers with the ability to escalate privileges and access the system with the same permissions as the NIS-Elements Viewer application. This presents a significant risk in environments where the viewer is used for scientific image analysis, particularly in research facilities or medical imaging applications where sensitive data may be processed. The vulnerability's classification under ATT&CK technique T1203 - "Exploitation for Client Execution" indicates that it can be leveraged as part of broader attack chains targeting endpoint systems. The memory corruption aspect of this vulnerability makes it particularly dangerous as it can lead to application crashes, data corruption, or more sophisticated exploitation techniques such as heap spraying or return-oriented programming attacks.
Mitigation strategies for CVE-2022-40663 should prioritize immediate software updates from NIKON, as the vendor has likely released patches addressing the buffer overflow in the image parsing routine. Organizations should implement strict file validation policies that prevent untrusted TIF files from being processed by the viewer application, particularly in environments where users may encounter unverified image content. Network-based mitigations could include implementing web application firewalls that block suspicious TIF file downloads or using sandboxing techniques to isolate the viewer application from critical system resources. The vulnerability's nature as a read past buffer boundary suggests that defensive programming measures such as bounds checking and memory safety validations should be enforced within the application's image parsing code. Additionally, security monitoring should be enhanced to detect anomalous file processing behaviors or unexpected memory access patterns that could indicate exploitation attempts, aligning with ATT&CK's T1070 - "Indicator Removal on Host" by ensuring that exploitation attempts are properly logged and investigated.
The vulnerability demonstrates the ongoing challenges in image processing security, where format parsers often lack sufficient input validation and boundary checking mechanisms. This type of vulnerability commonly affects specialized scientific software where performance optimization may have taken precedence over security considerations, particularly in applications handling complex binary formats like TIF. The fact that this vulnerability was tracked as ZDI-CAN-15697 indicates it was recognized by the cybersecurity community as a significant risk that required coordinated disclosure and remediation efforts. Organizations using NIS-Elements Viewer should also consider implementing automated vulnerability scanning tools that can identify potentially malicious TIF files before they are processed, and establish incident response procedures specifically tailored to handle image-based exploitation attempts. The vulnerability's remote exploitation capability through web-based delivery methods makes it particularly concerning for organizations that may inadvertently expose their users to malicious content through email attachments or web browsing activities.