NVIDIA CUDA Toolkit SDK Integer Overflow Vulnerability

Nvidia NVIDIA CUDA Toolkit is a development software application for creating high-performance GPU-accelerated applications from Nvidia Corporation. An integer overflow vulnerability exists in the NVIDIA CUDA Toolkit SDK that could be exploited by remote attackers to cause remote code execution,...

CVE-2022-21821

NVIDIA CUDA Toolkit SDK contains an integer overflow vulnerability in cuobjdump.To exploit this vulnerability, a remote attacker would require a local user to download a specially crafted, corrupted file and locally execute cuobjdump against the file. Such an attack may lead to remote code...

CVE-2022-21821

NVIDIA CUDA Toolkit SDK contains an integer overflow vulnerability in cuobjdump.To exploit this vulnerability, a remote attacker would require a local user to download a specially crafted, corrupted file and locally execute cuobjdump against the file. Such an attack may lead to remote code...

DEBIAN-CVE-2022-21821

NVIDIA CUDA Toolkit SDK contains an integer overflow vulnerability in cuobjdump.To exploit this vulnerability, a remote attacker would require a local user to download a specially crafted, corrupted file and locally execute cuobjdump against the file. Such an attack may lead to remote code...

CVE-2022-21821

NVIDIA CUDA Toolkit SDK contains an integer overflow vulnerability in cuobjdump.To exploit this vulnerability, a remote attacker would require a local user to download a specially crafted, corrupted file and locally execute cuobjdump against the file. Such an attack may lead to remote code...

Integer overflow

NVIDIA CUDA Toolkit SDK contains an integer overflow vulnerability in cuobjdump.To exploit this vulnerability, a remote attacker would require a local user to download a specially crafted, corrupted file and locally execute cuobjdump against the file. Such an attack may lead to remote code...

UBUNTU-CVE-2022-21821

NVIDIA CUDA Toolkit SDK contains an integer overflow vulnerability in cuobjdump.To exploit this vulnerability, a remote attacker would require a local user to download a specially crafted, corrupted file and locally execute cuobjdump against the file. Such an attack may lead to remote code...

CVE-2022-21821

NVIDIA CUDA Toolkit SDK contains an integer overflow vulnerability in cuobjdump.To exploit this vulnerability, a remote attacker would require a local user to download a specially crafted, corrupted file and locally execute cuobjdump against the file. Such an attack may lead to remote code...

CVE-2022-21821

NVIDIA CUDA Toolkit SDK contains an integer overflow vulnerability in cuobjdump.To exploit this vulnerability, a remote attacker would require a local user to download a specially crafted, corrupted file and locally execute cuobjdump against the file. Such an attack may lead to remote code...

CVE-2022-21821

NVIDIA CUDA Toolkit SDK contains an integer overflow vulnerability in cuobjdump.To exploit this vulnerability, a remote attacker would require a local user to download a specially crafted, corrupted file and locally execute cuobjdump against the file. Such an attack may lead to remote code...

CVE-2022-21821

CVE-2022-21821 involves NVIDIA CUDA Toolkit SDK, with an integer overflow in cuobjdump. The vulnerability can be triggered when a local user runs cuobjdump on a crafted file, potentially enabling remote code execution, complete denial of service, and impacts to confidentiality and integrity. The ...

CVE-2022-21821: Improper Validation of Specified Index, Position, or Offset in Input

NVIDIA CUDA Toolkit SDK contains an integer overflow vulnerability in cuobjdump.To exploit this vulnerability, a remote attacker would require a local user to download a specially crafted, corrupted file and locally execute cuobjdump against the file. Such an attack may lead to remote code...

Security Bulletin: NVIDIA CUDA Toolkit - March 2022

NVIDIA has released a software update for NVIDIA® CUDA® Toolkit software. This update addresses security issues that may lead to code execution, denial of service, or information disclosure. To protect your system, download and install this software update from the CUDA Toolkit Downloads page. Go...

Security Notice: NVIDIA Response to Log4j Vulnerabilities - December 2021

This notice is a response to the remote code execution vulnerabilities in the Log4j Java library, which is also known as Log4Shell. The CVE IDs of these vulnerabilities are as follows: CVE-2021-44228 CVE-2021-45046 CVE-2021-45105 NVIDIA is aware of these vulnerabilities and is evaluating their...

Security Bulletin: NVIDIA DCGM - August 2021

NVIDIA has released a software update for NVIDIA® Data Center GPU Manager DCGM. The update addresses security issues that may lead to privilege escalation, total loss of confidentiality and integrity, and complete denial of service. To protect your system, download and install the latest DCGM...

NVIDIA Windows GPU Display Driver (January 2021)

A display driver installed on the remote Windows host is affected by multiple vulnerabilities: - NVIDIA GPU Display Driver contains a vulnerability in the NVIDIA Control Panel component, in which an attacker with local system access can corrupt a system file, which may lead to denial of service o...

Google TensorFlow Denial of Service Vulnerability (CNVD-2021-00093)

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. Google TensorFlow suffers from a denial-of-service vulnerability that stems from the LSTM GRU layer receiving a zero-length input when using a CUDA backend, which results in a check failure. An...

CVE-2020-26270

In affected versions of TensorFlow running an LSTM/GRU model where the LSTM/GRU layer receives an input with zero-length results in a CHECK failure when using the CUDA backend. This can result in a query-of-death vulnerability, via denial of service, if users can control the input to the layer...

CVE-2020-26270

In affected versions of TensorFlow running an LSTM/GRU model where the LSTM/GRU layer receives an input with zero-length results in a CHECK failure when using the CUDA backend. This can result in a query-of-death vulnerability, via denial of service, if users can control the input to the layer...

PYSEC-2020-256

In affected versions of TensorFlow running an LSTM/GRU model where the LSTM/GRU layer receives an input with zero-length results in a CHECK failure when using the CUDA backend. This can result in a query-of-death vulnerability, via denial of service, if users can control the input to the layer...