The vulnerability of the library for working with large language models NVIDIA TensorRT-LLM, related to deficiencies in the deserialization mechanism, allows attackers to gain access to the TRTLLM server.

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 (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...

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...

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...

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...

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...