CVE-2025-23244

NVIDIA GPU Display Driver for Linux contains a vulnerability which could allow an unprivileged attacker to escalate permissions. A successful exploit of this vulnerability might lead to code execution, denial of service, escalation of privileges, information disclosure, and data tampering...

CVE-2025-23244

NVIDIA GPU Display Driver for Linux contains a vulnerability which could allow an unprivileged attacker to escalate permissions. A successful exploit of this vulnerability might lead to code execution, denial of service, escalation of privileges, information disclosure, and data tampering...

CVE-2025-23244

CVE-2025-23244 affects the NVIDIA GPU Display Driver for Linux. The vulnerability is a local issue that could allow an unprivileged attacker to escalate privileges, with potential consequences including code execution, denial of service, information disclosure, and data tampering. The provided so...

CVE-2025-23245

NVIDIA vGPU software for Windows and Linux contains a vulnerability in the Virtual GPU Manager vGPU plugin, where it allows a guest to access global resources. A successful exploit of this vulnerability might lead to denial of service...

CVE-2025-23245

CVE-2025-23245 affects NVIDIA vGPU software for Windows and Linux, due to a vulnerability in the Virtual GPU Manager (vGPU plugin) that may allow a guest to access global resources, potentially causing a denial of service. The CVSS metrics indicate a local, low-privilege exploit with a high impac...

CVE-2025-23245

NVIDIA vGPU software for Windows and Linux contains a vulnerability in the Virtual GPU Manager vGPU plugin, where it allows a guest to access global resources. A successful exploit of this vulnerability might lead to denial of service...

PT-2025-18651

Name of the Vulnerable Software and Affected Versions NVIDIA TensorRT-LLM affected versions not specified Description The issue concerns a data validation problem in the python executor of NVIDIA TensorRT-LLM, which can be exploited by an attacker with local access to the TRTLLM server. A...

PT-2025-18649 · Nvidia · Nvidia Tensorrt-Llm +1

Name of the Vulnerable Software and Affected Versions: NVIDIA TensorRT-LLM affected versions not specified NVIDIA vGPU software affected versions not specified Description: The issue concerns a data validation problem in the python executor of NVIDIA TensorRT-LLM, which can be exploited by an...

NVIDIA vGPU 安全漏洞

NVIDIA vGPU is a virtual GPU technology from NVIDIA, USA. A security vulnerability exists in NVIDIA vGPU that stems from allowing guest access to global resources, which could result in a denial of service...

PT-2025-18650 · Nvidia · Nvidia Vgpu

Name of the Vulnerable Software and Affected Versions: NVIDIA vGPU software for Windows and Linux affected versions not specified Description: The issue is related to a vulnerability in the Virtual GPU Manager vGPU plugin that allows a guest to consume uncontrolled resources. A successful exploit...

NVIDIA Linux GPU Display Driver (April 2025)

A display driver installed on the remote Linux host is affected by a vulnerability: - NVIDIA GPU Display Driver for Linux contains a vulnerability which could allow an unprivileged attacker to escalate permissions. A successful exploit of this vulnerability might lead to code execution, denial of...

NVIDIA GPU Display Driver for Linux 安全漏洞

NVIDIA GPU Display Driver for Linux is a GPU display driver. An elevation of privilege vulnerability exists in NVIDIA GPU Display Driver for Linux, which can be exploited by an attacker to submit a special request, execute arbitrary code, elevation of privilege, and more...

NVIDIA TensorRT-LLM 代码问题漏洞

NVIDIA TensorRT-LLM is a high-performance inference acceleration library from NVIDIA for defining, optimizing, and executing inference in production environments for large language models LLMs. A code issue vulnerability exists in NVIDIA TensorRT-LLM that stems from insufficient data validation a...

NVIDIA vGPU 资源管理错误漏洞

NVIDIA vGPU is a virtual GPU technology from NVIDIA. A resource management error vulnerability exists in NVIDIA vGPU that stems from allowing a guest to consume uncontrolled resources, which could result in a denial of service...

NVIDIA Virtual GPU Manager DoS (CVE-2025-23245) (April 2025)

The NVIDIA Virtual GPU Manager software on the remote host is missing a security update. It is, therefore, affected by denial of service vulnerability: - NVIDIA vGPU software for Windows and Linux contains a vulnerability in the Virtual GPU Manager vGPU plugin, where it allows a guest to access...

Security Bulletin: NVIDIA TensorRT LLM - April 2025

NVIDIA has released a software update for NVIDIA® TensorRT LLM Framework. To protect your system, download and install the latest release from the https://github.com/NVIDIA/TensorRT/releases page on GitHub. Go to NVIDIA Product Security...

NVIDIA Riva Vulnerabilities Leave AI-Powered Speech and Translation Services at Risk

Trend Research uncovered misconfigurations in NVIDIA Riva deployments, with two vulnerabilities, CVE-2025-23242 and CVE-2025-23243, contributing to their exposure. These security flaws could lead to unauthorized access, resource abuse, and potential misuse or theft of AI-powered inference service...

The vulnerability of the NVIDIA Riva multilingual speech processing and translation tools is related to access control deficiencies, which allow attackers to trigger service failures.

The vulnerability of the NVIDIA Riva multilingual speech processing and translation tools is related to deficiencies in access control. Exploiting this vulnerability could allow a malicious actor to cause service failures...

The vulnerability of the NVIDIA Riva multilingual speech processing and translation tools is related to access control deficiencies, which allow attackers to escalate their privileges, gain unauthorized access to protected information, or cause service failures.

The vulnerability of the NVIDIA Riva multilingual speech processing and translation tools is related to deficiencies in access control. Exploiting this vulnerability can allow unauthorized actors to enhance their privileges, gain unauthorized access to protected information, or cause service...

The vulnerability of NVIDIA NeMo’s integrated platform for training and applying neural networks in speech processing and natural language processing lies in errors in the processing of the relative path to the catalog. This allows attackers to execute arbitrary code.

The vulnerability of NVIDIA NeMo’s integrated platform for training and applying neural networks in speech processing and natural language processing is related to errors in processing the relative path to the catalog. Exploiting this vulnerability can allow attackers to execute arbitrary code...