CVE-2025-33242

NVIDIA B300 MCU contains a vulnerability in the CX8 MCU that could allow a malicious actor to modify unsupported registries, causing a bad state. A successful exploit of this vulnerability might lead to denial of service and data tampering...

CVE-2025-33216

NVIDIA SNAP-4 Container contains a vulnerability in the configuration interface where an attacker on a VM may cause an incorrect calculation of buffer size by sending crafted configurations. A successful exploit of this vulnerability may lead to crash of the SNAP service, causing denial of servic...

CVE-2025-33216

NVIDIA SNAP-4 Container vulnerability CVE-2025-33216 resides in the configuration interface, where crafted configurations can cause an incorrect buffer size calculation, potentially crashing the SNAP service and denying storage access to the host. Affected products: SNAP-4 Container (BlueField-3 ...

CVE-2025-33216

NVIDIA SNAP-4 Container contains a vulnerability in the configuration interface where an attacker on a VM may cause an incorrect calculation of buffer size by sending crafted configurations. A successful exploit of this vulnerability may lead to crash of the SNAP service, causing denial of servic...

CVE-2025-33216

NVIDIA SNAP-4 Container contains a vulnerability in the configuration interface where an attacker on a VM may cause an incorrect calculation of buffer size by sending crafted configurations. A successful exploit of this vulnerability may lead to crash of the SNAP service, causing denial of servic...

CVE-2025-33215

NVIDIA SNAP-4 Container contains a vulnerability in the VIRTIO-BLK component where a malicious guest VM may cause use of out-of-range pointer offset by sending crafted messages. A successful exploit of this vulnerability may lead to a denial of service of the DPA and impact the availability of...

CVE-2025-33215

NVIDIA SNAP-4 Container contains a vulnerability in the VIRTIO-BLK component where a malicious guest VM may cause use of out-of-range pointer offset by sending crafted messages. A successful exploit of this vulnerability may lead to a denial of service of the DPA and impact the availability of...

CVE-2025-33215

NVIDIA SNAP-4 Container contains a vulnerability in the VIRTIO-BLK component where a malicious guest VM may cause use of out-of-range pointer offset by sending crafted messages. A successful exploit of this vulnerability may lead to a denial of service of the DPA and impact the availability of...

CVE-2025-33215

CVE-2025-33215 affects NVIDIA SNAP-4 Container, specifically a vulnerability in the VIRTIO-BLK component. A malicious guest VM can trigger an out-of-range pointer offset by sending crafted messages, potentially causing a denial of service and impacting storage availability for other VMs. The NVID...

PT-2026-27513

NVIDIA Triton Inference Server contains a vulnerability in the HTTP endpoint where an attacker may cause a denial of service by providing a large compressed payload. A successful exploit of this vulnerability may lead to denial of service...

NVIDIA Megatron-LM 代码问题漏洞

NVIDIA Megatron-LM is a distributed training framework based on PyTorch developed by NVIDIA Corporation in the United States. It is specifically designed for training large-scale Transformer language models. NVIDIA Megatron-LM has code vulnerabilities, particularly an insecure deserialization...

PT-2026-27510

NVIDIA Megatron-LM contains a vulnerability in inferencing where an Attacker may cause an RCE by convincing a user to load a maliciously crafted input. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, information disclosure, and data tampering...

PT-2026-27501

NVIDIA SNAP-4 Container contains a vulnerability in the configuration interface where an attacker on a VM may cause an incorrect calculation of buffer size by sending crafted configurations. A successful exploit of this vulnerability may lead to crash of the SNAP service, causing denial of servic...

PT-2026-27508

NVIDIA Model Optimizer for Windows and Linux contains a vulnerability in the ONNX quantization feature, where a user could cause unsafe deserialization by providing a specially crafted input file. A successful exploit of this vulnerability might lead to code execution, escalation of privileges,...

PT-2026-27503

NVIDIA B300 MCU contains a vulnerability in the CX8 MCU that could allow a malicious actor to modify unsupported registries, causing a bad state. A successful exploit of this vulnerability might lead to denial of service and data tampering...

PT-2026-27511

NVIDIA Megatron-LM contains a vulnerability in checkpoint loading where an Attacker may cause an RCE by convincing a user to load a maliciously crafted file. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, information disclosure, and data tampering...

NVIDIA SNAP-4 Container 安全漏洞

NVIDIA SNAP-4 Container is a containerized operating environment component provided by NVIDIA Corporation in the United States. There is a security vulnerability present in NVIDIA SNAP-4 Container, which stems from an error in buffer size calculation within the configuration interface, potentiall...

NVIDIA Megatron LM 代码问题漏洞

NVIDIA Megatron LM is a deep learning framework developed by NVIDIA Corporation for training large-scale language models and parallel computing. NVIDIA Megatron LM has code-related vulnerabilities; one of these vulnerabilities stems from a remote code execution vulnerability in quantitative...

NVIDIA Model Optimizer 代码问题漏洞

NVIDIA Model Optimizer is a tool component developed by NVIDIA Corporation that optimizes the performance of deep learning models and improves inference efficiency. NVIDIA Model Optimizer has a code vulnerability, which stems from an insecure deserialization issue in the ONNX quantization functio...

PT-2026-27512

Name of the Vulnerable Software and Affected Versions NVIDIA NeMo Framework affected versions not specified Description The NVIDIA NeMo Framework has a flaw in how it loads checkpoints, potentially allowing a remote attacker to execute code. Exploitation of this issue could result in code...