NVIDIA has reportedly addressed several vulnerabilities in the newest software security update for GPU display drivers, potentially preventing the compromise of host systems.
NVIDIA's Latest Security Update Manages To Resolve Two "High-Risk" Security Flaws, Ensuring A Safe Experience
Team Green has now managed to fix eight different security flaws in a new patch, two of which are said to be high-priority ones. Starting with the description of the vulnerabilities, the first one (CVE-2024-0150) targets "buffer overflow" with the GPU display driver, and this potentially meant that intruders could exploit this flaw to overwrite memory buffers, allowing a large-scale system compromise, which means that personal data could be leaked or even tampered with this flaw.
The second vulnerability reported affects the virtual GPU manager. A security flaw influences host systems, resulting in memory corruption and ultimately allowing a malicious guest to lead code execution or even change personal data. Apart from this, there are six other flaws that were addressed as well, but having "medium severity," which is why we won't go into depth about each of them.
In order to put the new software updates into effect, users must switch to driver version 553.62 or version 539.19 for Windows. For Linux users, however, they must have v550.144.03 or v535.230.02, this too varies based on what driver branch they have onboard. Team Green claims that the vulnerabilities may impact consumer GeForce GPUs, along with NVIDIA RTX, Quadro, NVS product lines, as well as Tesla products, so the scale of users affected is pretty extensive, hence make sure your drivers are updated to the versions mentioned above.
News Source: TechPowerUP
About the author: Muhammad Zuhair is a hardware and technology reporter for Wccftech, specializing in the semiconductor industry and the complex interplay between technology, manufacturing, and geopolitics. His coverage focuses on the corporate strategies and technological roadmaps of industry giants like TSMC, NVIDIA, Samsung, and Intel. Zuhair's expertise lies in deconstructing complex topics such as fabrication nodes (e.g., 2nm process), the economic impact of policies like the CHIPS Act, and the strategic development of AI infrastructure from NVIDIA, AMD and Intel.
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