CVE 検索

NVIDIA Megatron-LM for all platforms contains a vulnerability in the tasks/orqa/unsupervised/nq.py component, where an attacker may cause a code injection. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, information disclosure, and data tampering.

NVIDIA Megatron-LM for all platforms contains a vulnerability in the pretrain_gpt script, where malicious data created by an attacker may cause a code injection issue. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, information disclosure, and data tampering.

NVIDIA CUDA Toolkit contains a vulnerability in cuobjdump, where an unprivileged user can cause a NULL pointer dereference. A successful exploit of this vulnerability may lead to a limited denial of service.

NVIDIA CUDA Toolkit for all platforms contains a vulnerability in the nvdisasm binary where a user may cause an out-of-bounds read by passing a malformed ELF file to nvdisasm. A successful exploit of this vulnerability may lead to a partial denial of service.

NVIDIA CUDA Toolkit for all platforms contains a vulnerability in cuobjdump where an attacker may cause a stack-based buffer overflow by getting the user to run cuobjdump on a malicious ELF file. A successful exploit of this vulnerability may lead to arbitrary code execution at the privilege level of the user running

NVIDIA CUDA Toolkit for all platforms contains a vulnerability in nvdisasm where a user may cause an out-of-bounds write by running nvdisasm on a malicious ELF file. A successful exploit of this vulnerability may lead to denial of service.

NVIDIA CUDA Toolkit for all platforms contains a vulnerability in nvdisasm where an attacker may cause a heap-based buffer overflow by getting the user to run nvdisasm on a malicious ELF file. A successful exploit of this vulnerability may lead to arbitrary code execution at the privilege level of the user running nvdi

NVIDIA CUDA Toolkit for all platforms contains a vulnerability in nvJPEG where a local authenticated user may cause a GPU out-of-bounds write by providing certain image dimensions. A successful exploit of this vulnerability may lead to denial of service and information disclosure.

NVIDIA CUDA Toolkit for all platforms contains a vulnerability in nvJPEG where a local authenticated user may cause a divide by zero error by submitting a specially crafted JPEG file. A successful exploit of this vulnerability may lead to denial of service.

NVIDIA CUDA Toolkit for all platforms contains a vulnerability in the nvdisasm binary where a user may cause an out-of-bounds read by passing a malformed ELF file to nvdisasm. A successful exploit of this vulnerability may lead to a partial denial of service.

NVIDIA CUDA Toolkit for all platforms contains a vulnerability in the cuobjdump binary where a user may cause an out-of-bounds read by passing a malformed ELF file to cuobjdump. A successful exploit of this vulnerability may lead to a partial denial of service.

NVIDIA CUDA Toolkit for all platforms contains a vulnerability in the nvdisasm binary where a user may cause an out-of-bounds read by passing a malformed ELF file to nvdisasm. A successful exploit of this vulnerability may lead to a partial denial of service.

NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where an attacker could cause a denial of service by loading a misconfigured model. A successful exploit of this vulnerability might lead to denial of service.

NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where an attacker could cause memory corruption by identifying and accessing the shared memory region used by the Python backend. A successful exploit of this vulnerability might lead to denial of service.

NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where an attacker could cause an out-of-bounds write through a specially crafted input. A successful exploit of this vulnerability might lead to denial of service.

NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability in the Python backend, where an attacker could cause a remote code execution by manipulating the model name parameter in the model control APIs. A successful exploit of this vulnerability might lead to remote code execution, denial of service

NVIDIA Triton Inference Server contains a vulnerability in the DALI backend where an attacker may cause an improper input validation issue. A successful exploit of this vulnerability may lead to code execution.