NVIDIA TensorRT-LLM Deserialization Access

The vulnerability of the library for working with large language models like NVIDIA TensorRT-LM is related to deficiencies in the deserialization mechanism. Exploiting this vulnerability could allow attackers to gain access to the TRTLLM server...

NVIDIA TensorRT-LLM python executor code issue vulnerability

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...

CVE-2025-23254

NVIDIA TensorRT-LLM for any platform contains a vulnerability in python executor where an attacker may cause a data validation issue by local access to the TRTLLM server. A successful exploit of this vulnerability may lead to code execution, information disclosure and data tampering...

CVE-2025-23254

NVIDIA TensorRT-LLM for any platform contains a vulnerability in python executor where an attacker may cause a data validation issue by local access to the TRTLLM server. A successful exploit of this vulnerability may lead to code execution, information disclosure and data tampering...

CVE-2025-23254

NVIDIA TensorRT-LLM for any platform contains a vulnerability in python executor where an attacker may cause a data validation issue by local access to the TRTLLM server. A successful exploit of this vulnerability may lead to code execution, information disclosure and data tampering...

CVE-2025-23254

NVIDIA TensorRT-LLM (TensorRT-LLM Python executor) contains a data-validation vulnerability that can be exploited with local access to the TRTLLM server to achieve code execution, information disclosure, and data tampering. The CVE-2025-23254 entries across NVD/CVE lists describe a Python-executo...

NVIDIA TensorRT-LM Code Issues and Vulnerabilities

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...

CVE-2025-23254: Deserialization of Untrusted Data

NVIDIA TensorRT-LLM for any platform contains a vulnerability in python executor where an attacker may cause a data validation issue by local access to the TRTLLM server. A successful exploit of this vulnerability may lead to code execution, information disclosure and data tampering...

PT-2025-18649

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...

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 TensorRT Detection

The Open Source Software OSS components of the NVIDIA TensorRT Python library is installed on the remote host. Note that Nessus has relied upon on the application's self-reported version number. %NASLMINLEVEL 80900 C Tenable, Inc. include'compat.inc'; if description scriptid208130;...