CVE-2022-37770 in libjpeg
Summary
by MITRE • 08/19/2022
libjpeg commit 281daa9 was discovered to contain a segmentation fault via LineMerger::GetNextLowpassLine at linemerger.cpp. This vulnerability allows attackers to cause a Denial of Service (DoS) via a crafted file.
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Analysis
by VulDB Data Team • 08/19/2022
The vulnerability identified as CVE-2022-37770 resides within the libjpeg library, a widely used software component for handling jpeg image format processing in numerous applications and systems. This particular flaw manifests as a segmentation fault occurring within the LineMerger::GetNextLowpassLine function located in the linemerger.cpp source file. The vulnerability represents a critical security weakness that can be exploited by malicious actors to disrupt system operations through carefully crafted jpeg files. The libjpeg library serves as a foundational element in many software ecosystems including web browsers, image processing applications, and server-side image handling systems, making this vulnerability particularly concerning from a security perspective.
The technical nature of this vulnerability stems from improper handling of memory access patterns within the LineMerger class during the processing of jpeg image data. When the GetNextLowpassLine method encounters malformed or specially constructed jpeg input files, it fails to properly validate input parameters or handle edge cases in the image data stream. This leads to a segmentation fault that causes the application to crash and terminate unexpectedly. The vulnerability is classified as a memory corruption issue that falls under CWE-125, which represents out-of-bounds read conditions, and potentially CWE-129, representing insufficient validation of array indices. The flaw occurs during the decompression process when the library attempts to merge and process lowpass image data components, indicating a failure in input validation and error handling mechanisms.
From an operational standpoint, this vulnerability creates significant denial of service risks for systems that process jpeg images from untrusted sources. Attackers can exploit this weakness by crafting malicious jpeg files that, when processed by vulnerable applications, will trigger the segmentation fault and cause system crashes. This affects not only individual user applications but also server environments that handle image uploads or processing, potentially leading to widespread service disruption. The impact extends beyond simple application crashes to include potential system instability and resource exhaustion, as affected applications may need to be restarted or may continue to consume system resources while attempting to process the malformed input. Organizations relying on libjpeg for image processing workflows face substantial operational risks, particularly in environments where automated image processing or user-uploaded content is common.
Mitigation strategies for CVE-2022-37770 should prioritize immediate patching of affected libjpeg versions, as this represents the most effective defense against exploitation. System administrators should implement comprehensive vulnerability management processes to identify all applications utilizing vulnerable libjpeg versions and ensure timely updates. Additionally, input validation and sanitization measures should be strengthened at application layers that process jpeg images, including implementing proper error handling and input validation before passing files to libjpeg functions. Network-level protections such as content filtering and sandboxing techniques can provide additional defense-in-depth measures, though these are secondary to the primary patching approach. The vulnerability demonstrates the importance of robust input validation and proper error handling in cryptographic and multimedia processing libraries, aligning with ATT&CK technique T1203 for legitimate user execution and T1499 for endpoint denial of service. Organizations should also consider implementing monitoring and alerting systems to detect potential exploitation attempts and maintain detailed logs of image processing activities to facilitate incident response and forensic analysis.