GHSA-3749-GHW9-M3MG vulnerabilities

Vulnerabilities for packages: py3-torch-cuda-12.4, py3-torch-cuda-12.6...

CVE-2025-2953 vulnerabilities

Vulnerabilities for packages: py3-torch-cuda-12.4, py3-torch-cuda-12.6...

CVE-2025-5150 docarray Web API torch_dataset.py __getitem__ prototype pollution

A vulnerability was found in docarray up to 0.40.1. It has been rated as critical. Affected by this issue is the function getitem of the file /docarray/data/torchdataset.py of the component Web API. The manipulation leads to improperly controlled modification of object prototype attributes...

DocArray 安全漏洞

DocArray is a DocArray open source tool for representing, sending, storing, and searching multimodal data. A security vulnerability exists in DocArray 0.40.1 and earlier versions that stems from a prototype contamination issue in the file /docarray/data/torchdataset.py...

CVE-2011-1416

The Research In Motion RIM BlackBerry Torch 9800 with firmware 6.0.0.246 allows attackers to read the contents of memory locations via unknown vectors, as demonstrated by Vincenzo Iozzo, Willem Pinckaers, and Ralf-Philipp Weinmann during a Pwn2Own competition at CanSecWest 2011...

CVE-2025-4701

The CVE-2025-4701 issue affects VITA-MLLM Freeze-Omni (up to 20250421), specifically the torch.load usage in models/utils.py where improper handling of the path argument enables deserialization and a potential local-host exploit. Root cause: manipulation of the path parameter in torch.load leads ...

PT-2025-21290 · Unknown +1 · Vita-Mllm Freeze-Omni +1

Name of the Vulnerable Software and Affected Versions: VITA-MLLM Freeze-Omni up to 20250421 Description: A problematic issue has been found, affecting the torch.load function in the models/utils.py file. The manipulation of the path argument leads to deserialization, allowing an attack to be...

Unspecified Vulnerability in PyTorch (CNVD-2025-23289)

PyTorch is a Python package open-sourced by PyTorch. PyTorch has a security vulnerability that originates from improper handling of the function torch.cuda.nccl.reduce in the file torch/cuda/nccl.py, which can be exploited by an attacker to cause a denial of service...

Improper Resource Shutdown or Release

Overview torch is a Tensors and Dynamic neural networks in Python with strong GPU acceleration Affected versions of this package are vulnerable to Improper Resource Shutdown or Release through the torch.cuda.nccl.reduce function in the file torch/cuda/nccl.py. An attacker can cause the applicatio...

01os (=0.0.14), 21cmpsdenoiser (>=1.0.0 <=1.0.2) +25918 more potentially affected by CVE-2025-4287 via torch (>=1.0.0 <=2.9.1)

torch PYPI version =1.0.0, =1.0.0, =0.1.0, =1.0.0, =0.1.0, =0.1.0, =0.1.3, =0.1.0, =0.1.0, =0.0.1, =0.0.1, =0.0.16 - a1facts =0.2.6 and more Source cves: CVE-2025-4287 Source advisory: SNYK:PYTHON-TORCH-10332643...

Malicious code in byted-torch-monitor (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: kam193 8c2b83888c7fcb79b930eaecb1a538d27a131ab415c0b756f84c7071d5a0935b During installation, a website with the current working dir is being called. It looks like something between spam and pentest as the website is most probably n...

MAL-2025-4207 Malicious code in byted-torch-monitor (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: kam193 8c2b83888c7fcb79b930eaecb1a538d27a131ab415c0b756f84c7071d5a0935b During installation, a website with the current working dir is being called. It looks like something between spam and pentest as the website is most probably n...

The vulnerability of the torch.load() function in the PyTorch machine learning framework allows a hacker to execute arbitrary code.

The vulnerability of the torch.load function in the PyTorch machine learning framework is related to deficiencies in the deserialization mechanism. Exploiting this vulnerability could allow a malicious actor to execute arbitrary code remotely...

Deserialization of Untrusted Data

Overview llamafactory is an Easy-to-use LLM fine-tuning framework Affected versions of this package are vulnerable to Deserialization of Untrusted Data through the torch.load function. An attacker can execute arbitrary commands by crafting a malicious .bin file that is then deserialized. PoC pyth...

PYSEC-2025-41

PyTorch is a Python package that provides tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system. In version 2.5.1 and prior, a Remote Command Execution RCE vulnerability exists in PyTorch when loading a model using torch.load with...

01os (=0.0.14), 21cmpsdenoiser (>=1.0.0 <=1.0.2) +25417 more potentially affected by CVE-2025-32434 via torch (>=1.0.0 <=2.5.1)

torch PYPI version =1.0.0, =1.0.0, =0.1.0, =1.0.0, =0.1.0, =0.1.0, =0.1.3, =0.1.0, =0.1.0, =0.0.1, =0.0.1, =0.0.16 - a1facts =0.2.6 and more Source cves: CVE-2025-32434 Source advisory: OSV:PYSEC-2025-41...

CVE-2025-32434 PyTorch: `torch.load` with `weights_only=True` leads to remote code execution

PyTorch is a Python package that provides tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system. In version 2.5.1 and prior, a Remote Command Execution RCE vulnerability exists in PyTorch when loading a model using torch.load with...

Deserialization of Untrusted Data

Overview torch is a Tensors and Dynamic neural networks in Python with strong GPU acceleration Affected versions of this package are vulnerable to Deserialization of Untrusted Data when using the torch.load function on an untrusted model with weightsonly=True, which is documented to be secure. Th...

01os (=0.0.14), 21cmpsdenoiser (>=1.0.0 <=1.0.2) +25417 more potentially affected by CVE-2025-32434 via torch (>=1.0.0 <=2.5.1)

torch PYPI version =1.0.0, =1.0.0, =0.1.0, =1.0.0, =0.1.0, =0.1.0, =0.1.3, =0.1.0, =0.1.0, =0.0.1, =0.0.1, =0.0.16 - a1facts =0.2.6 and more Source cves: CVE-2025-32434 Source advisory: OSV:GHSA-53Q9-R3PM-6PQ6...

01os (=0.0.14), 21cmpsdenoiser (>=1.0.0 <=1.0.2) +24244 more potentially affected by CVE-2025-32434 via torch (>=2.0.0 <=2.5.1)

torch PYPI version =2.0.0, =1.0.0, =0.1.0, =0.1.3, =0.1.0, =0.1.0, =0.0.1, =0.0.1, =0.10.5, =0.1.0.dev1, =1.0.0, =1.2.0 and more Source cves: CVE-2025-32434 Source advisory: SNYK:PYTHON-TORCH-9788071...