Nvidia Geforce Rtx 2080 Super vulnerabilities

6 vulnerabilities

Known vulnerabilities in Nvidia Geforce Rtx 2080 Super, newest first, with CVSS severity, EPSS, KEV listings, ransomware use and the affected versions.

4.4CVE-2021-1105nvidiadgx_station_a100_firmware+135
EPSS score
0.21%
NVIDIA GPU and Tegra hardware contain a vulnerability in the internal microcontroller which may allow a user with elevated privileges to access debug registers during runtime, which may lead to information disclosure.
4.4CVE-2021-1088nvidiadgx_station_a100_firmware+135
EPSS score
0.21%
NVIDIA GPU and Tegra hardware contain a vulnerability in the internal microcontroller which may allow a user with elevated privileges to utilize debug mechanisms with insufficient access control, which may lead to information disclosure.
4.4CVE-2021-34399nvidiadgx_station_a100_firmware+135
EPSS score
0.21%
NVIDIA GPU and Tegra hardware contain a vulnerability in the internal microcontroller which may allow a user with elevated privileges to gain access to information from unscrubbed registers, which may lead to information disclosure.
4.4CVE-2021-34400nvidiadgx_station_a100_firmware+135
EPSS score
0.21%
NVIDIA GPU and Tegra hardware contain a vulnerability in the internal microcontroller which may allow a user with elevated privileges to gain access to information from unscrubbed memory, which may lead to information disclosure.
4.1CVE-2021-23219nvidiadgx_station_a100_firmware+135
EPSS score
0.21%
NVIDIA GPU and Tegra hardware contain a vulnerability in the internal microcontroller, which may allow a user with elevated privileges to access protected information by identifying, exploiting, and loading vulnerable microcode. Such an attack may lead to information disclosure.
5.3CVE-2023-44216amdryzen_5_7600x+28
EPSS score
1.72%
PVRIC (PowerVR Image Compression) on Imagination 2018 and later GPU devices offers software-transparent compression that enables cross-origin pixel-stealing attacks against feTurbulence and feBlend in the SVG Filter specification, aka a GPU.zip issue. For example, attackers can sometimes accurately determine text contained on a web page from one origin if they control a resource from a different origin.