NVIDIA Megatron-LM 代码注入漏洞

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 a code injection vulnerability. This vulnerability stems from...

NVIDIA Megatron-LM 代码注入漏洞

NVIDIA Megatron-LM is a PyTorch-based distributed training framework from NVIDIA that is specifically designed for training large Transformer language models. NVIDIA Megatron-LM suffers from a code injection vulnerability that stems from scripts improperly handling malicious data, which could lea...

EUVD-2025-7029

Malicious code in bioql PyPI...

A Lightweight Federated Learning Approach for Privacy-Preserving Botnet Detection in IoT

The rapid growth of the Internet of Things IoT has expanded opportunities for innovation but also increased exposure to botnet-driven cyberattacks. Conventional detection methods often struggle with scalability, privacy, and adaptability in resource-constrained IoT environments. To address these...

PyTorch nccl.py torch.cuda.nccl.reduce denial of service

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NVIDIA Megatron-LM Code Injection Vulnerability (CNVD-2025-19536)

NVIDIA Megatron-LM is a PyTorch-based distributed training framework from NVIDIA that specializes in training large Transformer language models. NVIDIA Megatron-LM suffers from a code injection vulnerability that originates in the megatron/training/arguments.py component, which can be exploited b...

CVE-2025-50461

A deserialization vulnerability exists in Volcengine's verl 3.0.0, specifically in the scripts/modelmerger.py script when using the "fsdp" backend. The script calls torch.load with weightsonly=False on user-supplied .pt files, allowing attackers to execute arbitrary code if a maliciously crafted...

NVIDIA Megatron-LM 代码注入漏洞

NVIDIA Megatron-LM is a PyTorch-based distributed training framework from NVIDIA that specializes in training large Transformer language models. NVIDIA Megatron-LM suffers from a code injection vulnerability that originates in a tool component and can be exploited by an attacker to modify the...

CVE-2024-9052

A flaw was found in the vLLM distributed training API. This vulnerability allows remote code execution via unsafe deserialization, which uses pickle.loads without sanitization...

CVE-2024-9052

Rejected reason: This CVE ID has been rejected or withdrawn by its CVE Numbering Authority...

CVE-2024-9052

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CVE-2024-9052

Summary: CVE-2024-9052 relates to a deserialization flaw in the vLLM project’s distributed training API. The issue enables remote code execution via unsafe deserialization of object bytes using pickle.loads() without sanitization, specifically within the vllm.distributed.GroupCoordinator.recv_obj...

CVE-2024-9052

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Out-of-bounds Write

Overview lightgbm is a gradient boosting framework that uses tree based learning algorithms. Affected versions of this package are vulnerable to Out-of-bounds Write in linkerssocket.cpp, used during initialization of distributed training. An attacker can exploit a race condition to connect to a...

CVE-2024-5480

A vulnerability in PyTorch's torch.distributed.rpc framework, specifically in versions prior to 2.2.2, allows for remote code execution RCE. The framework, which is used in distributed training scenarios, does not properly verify the functions being called during RPC Remote Procedure Call...

PyTorch < 2.2.2 RCE

The remote host contains a torchserve version that is prior to 2.2.2. It is, therefore, affected by a remote code execution vulnerability. A vulnerability in the PyTorch's torch.distributed.rpc framework, specifically in versions prior to 2.2.2, allows for remote code execution RCE. The framework...

CVE-2024-5480

Rejected reason: This CVE ID has been rejected or withdrawn by its CVE Numbering Authority...

CVE-2024-5480

A vulnerability in the PyTorch's torch.distributed.rpc framework, specifically in versions prior to 2.2.2, allows for remote code execution RCE. The framework, which is used in distributed training scenarios, does not properly verify the functions being called during RPC Remote Procedure Call...

CVE-2024-5480

Rejected reason: This CVE ID has been rejected or withdrawn by its CVE Numbering Authority...

CVE-2024-5480

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