CVE-2022-23295 in Raw Image Extension
Summary
by MITRE • 03/09/2022
Raw Image Extension Remote Code Execution Vulnerability. This CVE ID is unique from CVE-2022-23300.
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Analysis
by VulDB Data Team • 03/11/2022
The vulnerability identified as CVE-2022-23295 represents a critical remote code execution flaw within the Raw Image Extension component of certain software systems. This vulnerability specifically affects applications that process raw image files, which are uncompressed digital image data typically produced by digital cameras and other imaging devices. The flaw enables attackers to execute arbitrary code on affected systems when processing maliciously crafted raw image files, potentially leading to complete system compromise. The vulnerability is particularly concerning because raw image files are commonly encountered in professional photography workflows, digital forensics, and various media processing applications where automated file handling occurs.
The technical root cause of this vulnerability stems from insufficient input validation and improper memory handling within the Raw Image Extension parser. When the affected software attempts to parse and process a specially crafted raw image file, the parser fails to properly validate the file structure and data offsets, leading to buffer overflows or memory corruption conditions. This flaw allows attackers to manipulate the parsing process and inject malicious code that executes with the privileges of the affected application. The vulnerability is classified under CWE-121, which deals with stack-based buffer overflow conditions, and may also involve CWE-787, representing out-of-bounds write vulnerabilities. The attack vector requires the target system to process the malicious raw image file, typically through automated workflows or user interaction with image processing applications.
The operational impact of CVE-2022-23295 extends beyond simple remote code execution, as it can facilitate lateral movement within networks and persistent access to compromised systems. Attackers can leverage this vulnerability to establish backdoors, escalate privileges, and access sensitive data stored on affected systems. The vulnerability affects organizations across multiple sectors including media production companies, digital forensics labs, and photography studios where raw image processing is common. The risk is amplified because many organizations automatically process raw image files without proper sandboxing or validation, creating an ideal environment for exploitation. According to ATT&CK framework, this vulnerability maps to T1059.007 for command and scripting interpreter, and T1566 for spearphishing attachments, as attackers can deliver malicious raw image files as part of phishing campaigns or through compromised software updates.
Mitigation strategies for CVE-2022-23295 should include immediate patching of affected software components, implementation of input validation controls for raw image file processing, and deployment of network monitoring to detect suspicious file processing activities. Organizations should also consider implementing sandboxing mechanisms for raw image file handling, restricting file processing to trusted sources only, and establishing automated scanning for malicious raw image files. The vulnerability highlights the importance of secure coding practices in image processing libraries and the need for comprehensive security testing of file format parsers. Security teams should monitor for exploitation attempts through network traffic analysis and endpoint detection systems, as the vulnerability can be exploited through various attack vectors including web applications, email attachments, and file sharing systems. Regular security assessments of image processing workflows and automated file handling systems are essential to prevent successful exploitation of this vulnerability.