CVE-2022-32978 in libjpeg
Summary
by MITRE • 06/10/2022
There is an assertion failure in SingleComponentLSScan::ParseMCU in singlecomponentlsscan.cpp in libjpeg before 1.64 via an empty JPEG-LS scan.
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Analysis
by VulDB Data Team • 06/15/2022
The vulnerability identified as CVE-2022-32978 represents a critical assertion failure within the libjpeg library's JPEG-LS implementation, specifically affecting versions prior to 1.64. This flaw exists in the SingleComponentLSScan::ParseMCU function located in the singlecomponentlsscan.cpp source file, demonstrating a fundamental weakness in how the library processes JPEG-LS format data. The issue manifests when parsing empty JPEG-LS scans, which can occur during malformed image processing scenarios. From a cybersecurity perspective, this vulnerability falls under the category of input validation failures and memory corruption issues that can potentially lead to application crashes or more severe security implications. The assertion failure indicates that the library's internal consistency checks are not properly handling edge cases in JPEG-LS data structures, creating a potential denial of service vector that affects applications relying on libjpeg for image processing.
The technical implementation flaw stems from inadequate boundary checking and validation within the JPEG-LS scan parsing routine. When an empty JPEG-LS scan is encountered, the SingleComponentLSScan::ParseMCU function fails to properly validate input parameters before proceeding with the parsing operations. This assertion failure occurs because the code assumes certain data structures or conditions that may not hold true in malformed inputs. The vulnerability demonstrates poor defensive programming practices where the code lacks proper error handling for edge cases, particularly when dealing with empty or minimal JPEG-LS scan segments. The underlying issue relates to how the JPEG-LS decoder handles progressive data structures and the absence of robust input sanitization mechanisms that should validate the integrity of scan data before processing. This type of flaw commonly maps to CWE-617, which describes reachable assertion failures, and represents a classic example of insufficient input validation in image processing libraries.
The operational impact of CVE-2022-32978 extends beyond simple application crashes to potentially affect a wide range of systems that utilize libjpeg for image processing tasks. Applications including web servers, image processing frameworks, document management systems, and multimedia applications that depend on libjpeg for JPEG-LS decoding are at risk of experiencing denial of service conditions when processing maliciously crafted JPEG-LS images. The vulnerability can be exploited by attackers who craft specially formatted empty JPEG-LS scans to force application crashes, effectively creating a denial of service attack vector. In environments where automated image processing is common, such as content management systems or image recognition platforms, this vulnerability could be leveraged to disrupt service availability. The impact is particularly concerning because JPEG-LS is used in medical imaging, satellite imagery, and other critical applications where reliable image processing is essential, making this vulnerability potentially exploitable in high-stakes scenarios.
Mitigation strategies for CVE-2022-32978 primarily involve upgrading to libjpeg version 1.64 or later, which contains the necessary patches to address the assertion failure in JPEG-LS processing. System administrators should prioritize patching affected systems and applications that rely on libjpeg, particularly in environments handling user-uploaded content or external image data. Additional defensive measures include implementing input validation layers that can detect and reject malformed JPEG-LS scans before they reach the vulnerable library functions, deploying network monitoring to detect unusual processing patterns that might indicate exploitation attempts, and establishing robust error handling procedures that can gracefully manage assertion failures. Organizations should also consider implementing sandboxing mechanisms for image processing tasks to contain potential impacts should the vulnerability be exploited. From an ATT&CK framework perspective, this vulnerability aligns with techniques involving denial of service through resource exhaustion and application crash exploitation, making it relevant to both defensive and offensive security operations. The fix implemented in version 1.64 typically involves strengthening the input validation within the ParseMCU function and adding proper boundary checks to prevent assertion failures when processing empty JPEG-LS scan data.