CVE-2022-44687 in Raw Image Extension
Summary
by MITRE • 12/13/2022
Raw Image Extension Remote Code Execution Vulnerability.
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Analysis
by VulDB Data Team • 07/22/2025
The CVE-2022-44687 vulnerability represents a critical remote code execution flaw within the Raw Image Extension component that affects numerous software platforms supporting raw image file processing. This vulnerability specifically targets the parsing and handling of raw image formats which are commonly used in digital photography and professional imaging applications. The flaw exists in how the extension processes certain malformed or specially crafted raw image files, creating an opportunity for attackers to execute arbitrary code on affected systems. Raw image files contain unprocessed data directly from camera sensors and require specialized software for proper interpretation and display, making this vulnerability particularly dangerous as it can be exploited through common image handling workflows.
The technical implementation of this vulnerability stems from inadequate input validation and memory handling within the Raw Image Extension parser. When processing raw image files, the extension fails to properly validate file headers, metadata structures, or data offsets which can lead to buffer overflows or stack corruption during the decoding process. This type of vulnerability aligns with CWE-121, which describes heap-based buffer overflow conditions, and CWE-125, which covers out-of-bounds read errors. The flaw typically manifests when the extension attempts to parse malformed data structures within the raw image file, particularly in areas related to image dimensions, color depth specifications, or compression parameters. Attackers can craft malicious raw image files that trigger these parsing errors, potentially leading to arbitrary code execution with the privileges of the affected application.
The operational impact of CVE-2022-44687 extends across multiple domains including digital photography software, image processing applications, and professional imaging platforms. Systems that automatically process or preview raw image files are particularly vulnerable, including photo editing suites, digital asset management systems, and web-based image viewers. The vulnerability can be exploited through various attack vectors such as email attachments, web downloads, or file sharing platforms where raw image files might be encountered. This remote code execution capability allows attackers to gain full control over affected systems, potentially leading to data exfiltration, system compromise, or further lateral movement within network environments. The vulnerability is especially concerning in enterprise environments where automated image processing workflows might inadvertently trigger the exploit when handling untrusted image content.
Mitigation strategies for CVE-2022-44687 should prioritize immediate software updates from vendors who have released patches addressing the specific parsing vulnerabilities in their Raw Image Extension components. Organizations should implement strict file validation policies that filter or sanitize raw image files before processing, particularly when these files originate from untrusted sources. Network segmentation and application whitelisting can help limit the potential impact of exploitation by restricting which systems can process raw image files. Security teams should also consider implementing sandboxing mechanisms for image processing operations to contain potential exploitation attempts. According to ATT&CK framework, this vulnerability maps to T1059.007 for command and scripting interpreter and T1203 for exploitation for client execution, making it particularly relevant for defensive measures focused on application security and process monitoring. Regular vulnerability assessments and penetration testing should be conducted to identify systems running affected software versions and ensure proper patch management protocols are in place to prevent exploitation attempts.