89 matches found
EUVD-2026-31057
NVIDIA TRT-LLM for any platform contains a vulnerability in RPC testing, where an attacker could cause an unsafe deserialization. A successful exploit of this vulnerability might lead to code execution, denial of service, data tampering, and information disclosure...
EUVD-2026-31058
NVIDIA TRT-LLM for any platform contains a vulnerability where an attacker could cause an unchecked return value to a null pointer dereference. A successful exploit of this vulnerability might lead to denial of service...
CVE-2026-24160
CVE-2026-24160 affects NVIDIA TensorRT-LLM for any platform. The vulnerability stems from an unchecked return value that may lead to a null pointer dereference , with the documented impact of a denial of service . The connected sources (NVD, NVIDIA security bulletin) confirm the affected product ...
CVE-2026-24142
NVIDIA TRT-LLM for any platform contains a deserialization vulnerability and unsafe serialized handle. A successful exploit of this vulnerability might lead to code execution, data tampering, and information disclosure...
CVE-2026-24142
NVIDIA TRT-LLM for any platform contains a deserialization vulnerability and unsafe serialized handle. A successful exploit of this vulnerability might lead to code execution, data tampering, and information disclosure...
CVE-2025-33255
Summary: CVE-2025-33255 affects NVIDIA TensorRT-LLM (any platform) via an MPI server deserialization vulnerability. The impact described across sources includes code execution, denial of service, data tampering, and information disclosure. The NVIDIA security bulletin specifies remediation by upd...
CVE-2025-33255
NVIDIA TRT-LLM for any platform contains a vulnerability in MPI server, where an attacker could cause an unsafe deserialization. A successful exploit of this vulnerability might lead to code execution, denial of service, data tampering, and information disclosure...
PT-2026-42088
Name of the Vulnerable Software and Affected Versions NVIDIA TRT-LLM affected versions not specified Description NVIDIA TRT-LLM contains a deserialization issue and an unsafe serialized handle. Deserialization is the process of converting a data stream back into an object. A successful exploit...
PT-2026-42216
Name of the Vulnerable Software and Affected Versions NVIDIA TensorRT affected versions not specified Description An issue exists where an attacker could cause an out-of-bounds write, which is a condition where data is written outside the boundaries of a pre-allocated fixed-length block of memory...
NVIDIA TensorRT 缓冲区错误漏洞
NVIDIA TensorRT is a software development toolkit provided by NVIDIA Corporation for the optimization of deep learning model inference and high-performance deployment. NVIDIA TensorRT has a buffer error vulnerability, which stems from out-of-bounds writes, potentially leading to data corruption...
Security Bulletin: NVIDIA TensorRT - May 2026
NVIDIA has released a software update for NVIDIA® TensorRT. To protect your system, clone or update this software to TensorRT v10.16.1 from the NVIDIA/TensorRT GitHub repo, the TensorRT product page, or the network repository. Go to NVIDIA Product Security. Details The following table summarizes...
Security Bulletin: NVIDIA TensorRT-LLM - May 2026
NVIDIA has released a software update for NVIDIA® TensorRT-LLM. To protect your system, clone or update this software to TensorRT-LLM v1.2.1 from GitHub. Go to NVIDIA Product Security. Details The following table summarizes the potential vulnerabilities that this security update addresses and the...
CVE-2025-23335
NVIDIA Triton Inference Server for Windows and Linux and the Tensor RT backend contain a vulnerability where an attacker could cause an underflow by a specific model configuration and a specific input. A successful exploit of this vulnerability might lead to denial of service...
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...
Researchers Find Serious AI Bugs Exposing Meta, Nvidia, and Microsoft Inference Frameworks
Cybersecurity researchers have uncovered critical remote code execution vulnerabilities impacting major artificial intelligence AI inference engines, including those from Meta, Nvidia, Microsoft, and open-source PyTorch projects such as vLLM and SGLang. "These vulnerabilities all traced back to t...
EUVD-2025-13062
Malicious code in bioql PyPI...
CVE-2025-23335
NVIDIA Triton Inference Server for Windows and Linux and the Tensor RT backend contain a vulnerability where an attacker could cause an underflow by a specific model configuration and a specific input. A successful exploit of this vulnerability might lead to denial of service...
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...
Deserialization of Untrusted Data
Overview tensorrt-llm is a TensorRT-LLM: A TensorRT Toolbox for Large Language Models Affected versions of this package are vulnerable to Deserialization of Untrusted Data via the ZeroMqQueue class in executor.py. An attacker can execute code, disclose information, and tamper with data by gaining...
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...