CVE-2024-0143 in nvJPEG2000 Library
Summary
by MITRE • 02/12/2025
NVIDIA nvJPEG2000 library contains a vulnerability where an attacker can cause an out-of-bounds write issue by means of a specially crafted JPEG2000 file. A successful exploit of this vulnerability might lead to code execution and data tampering.
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Analysis
by VulDB Data Team • 02/12/2025
The vulnerability identified as CVE-2024-0143 resides within the NVIDIA nvJPEG2000 library, a component designed to accelerate JPEG2000 image decoding operations on NVIDIA GPUs. This library serves as a critical element in various applications including digital imaging software, medical imaging systems, and content management platforms that rely on high-performance image processing capabilities. The flaw manifests as an out-of-bounds write condition that occurs during the parsing of specially crafted JPEG2000 files, representing a significant security concern given the widespread adoption of NVIDIA's GPU acceleration technologies across enterprise and consumer environments. The vulnerability falls under the category of memory safety issues and can be classified as a CWE-787 Out-of-bounds Write according to the Common Weakness Enumeration catalog, which specifically addresses situations where programs write data past the end of allocated buffers. The operational impact extends beyond simple data corruption as this flaw could potentially enable remote code execution, making it particularly dangerous in networked environments where users might encounter malicious JPEG2000 files through email attachments, web downloads, or file sharing platforms. Attackers exploiting this vulnerability could leverage the out-of-bounds write to overwrite adjacent memory locations, potentially corrupting program execution flow and executing arbitrary code with the privileges of the affected application. The ATT&CK framework categorizes this type of vulnerability under T1059 Command and Scripting Interpreter and T1548 Abuse of Cloud Credentials, as attackers might use such memory corruption flaws to establish persistent access or escalate privileges within compromised systems. The vulnerability's exploitation potential is amplified by the fact that JPEG2000 files are commonly used in professional environments and may be processed automatically by applications without user interaction, making automatic exploitation more likely. Additionally, the nvJPEG2000 library's integration into various software ecosystems means that a single vulnerability could affect multiple applications and systems, creating a widespread impact that extends far beyond the immediate library scope. The out-of-bounds write condition typically arises from insufficient input validation and bounds checking during the parsing of JPEG2000 file headers and data structures, where the library fails to properly verify the size and content of image components before attempting to write decoded data into memory buffers. This flaw particularly affects systems running NVIDIA GPU-accelerated applications that process JPEG2000 images, including but not limited to medical imaging systems, digital photography applications, and content delivery networks that utilize GPU acceleration for image processing tasks. The remediation approach requires immediate patching of the affected NVIDIA nvJPEG2000 library components, with system administrators implementing comprehensive software update procedures to ensure all affected applications and operating systems receive the necessary security fixes. Organizations should also consider implementing network-based security controls such as file type filtering and sandboxing mechanisms to reduce the attack surface and limit potential exploitation opportunities. The vulnerability underscores the critical importance of maintaining up-to-date security patches and highlights the risks associated with GPU-accelerated libraries that handle untrusted input data, as these components often operate with elevated privileges and can serve as prime targets for sophisticated cyber attacks.