PT-2026-45457

An issue in ESA AnomalyMatch before 1.3.1 allow attackers to execute arbitrary code via crafted model checkpoint files. The affected components load model files from session directories using torch.load with unrestricted deserialization...

CVE-2025-51480 affecting package pytorch for versions less than 2.2.2-15

CVE-2025-51480 affecting package pytorch for versions less than 2.2.2-15. A patched version of the package is available...

CVE-2026-31218

The loadmodel function in the neuralmagictraining.py script of the optimate project in commit a6d302f912b481c94370811af6b11402f51d377f 2024-07-21 is vulnerable to insecure deserialization CWE-502. When loading a model state dictionary from a statedict.pt file via torch.load, the function does not...

CVE-2026-44484

A flaw was found in PyTorch Lightning. This deep learning framework introduced functionality that could be leveraged as a credential harvesting mechanism. A remote attacker could exploit this to obtain sensitive user credentials, leading to significant information disclosure and potential further...

llm-foundry (>=0.9.1, <=0.10.0), mlflow-pytorch-exp (0.0.1) potentially affected by CVE-2026-2652 via mlflow (2.14.3)

mlflow PYPI version 2.14.3 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - llm-foundry =0.9.1, =0.10.0 - mlflow-pytorch-exp 0.0.1 Source cves: CVE-2026-2652 Source advisory: OSV:GHSA-75CM-X2W3-8MGF...

pytorch-vision-classifier (>=0.0.4, <=0.0.8), train-and-deploy (>=0.1.1a0, <=0.1.4) +2 more potentially affected by CVE-2026-2652 via mlflow (1.10.0)

mlflow PYPI version 1.10.0 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - pytorch-vision-classifier =0.0.4, =0.1.1a0, =0.4.1, =0.4.2 - waveletai 0.2.4 Source cves: CVE-2026-2652 Source advisory: OSV:GHSA-75CM-X2W3-8MGF...

pytorch-vision-classifier (>=0.0.4, <=0.0.8), train-and-deploy (>=0.1.1a0, <=0.1.4) +2 more potentially affected by CVE-2026-2652 via mlflow (1.10.0)

mlflow PYPI version 1.10.0 is affected by a known vulnerability. The following packages have a transitive dependency on mlflow and may be impacted: - pytorch-vision-classifier =0.0.4, =0.1.1a0, =0.4.1, =0.4.2 - waveletai 0.2.4 Source cves: CVE-2026-2652 Source advisory: OSV:PYSEC-2026-2221...

CVE-2026-44484

PyTorch Lightning is a deep learning framework to pretrain and finetune AI models. Versions 2.6.2 and 2.6.2 have introduced functionality consistent with a credential harvesting mechanism...

CVE-2026-44484 Compromise of PyTorch Lightning PyPi Package Versions

PyTorch Lightning is a deep learning framework to pretrain and finetune AI models. Versions 2.6.2 and 2.6.2 have introduced functionality consistent with a credential harvesting mechanism...

CVE-2026-44484

PyTorch Lightning is a deep learning framework to pretrain and finetune AI models. Versions 2.6.2 and 2.6.2 have introduced functionality consistent with a credential harvesting mechanism...

CVE-2026-44484

PyTorch Lightning PyPI package versions 2.6.2 and 2.6.3 have been compromised, introducing functionality consistent with a credential harvesting mechanism. This is reflected across CVE-2026-44484 and associated advisories (GHSA-w37p-236h-pfx3; OSV). The root cause is under investigation; affected...

CVE-2026-44484 Compromise of PyTorch Lightning PyPi Package Versions

PyTorch Lightning is a deep learning framework to pretrain and finetune AI models. Versions 2.6.2 and 2.6.2 have introduced functionality consistent with a credential harvesting mechanism...

CVE-2026-44484

PyTorch Lightning is a deep learning framework to pretrain and finetune AI models. Versions 2.6.2 and 2.6.2 have introduced functionality consistent with a credential harvesting mechanism...

EUVD-2026-30303

PyTorch Lightning is a deep learning framework to pretrain and finetune AI models. Versions 2.6.2 and 2.6.2 have introduced functionality consistent with a credential harvesting mechanism...

CVE-2026-44484: Embedded Malicious Code

PyTorch Lightning is a deep learning framework to pretrain and finetune AI models. Versions 2.6.2 and 2.6.2 have introduced functionality consistent with a credential harvesting mechanism...

Linux Distros Unpatched Vulnerability : CVE-2026-31221

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - PyTorch-Lightning versions 2.6.0 and earlier contain an insecure deserialization vulnerability CWE-502 in the checkpoint loading mechanism. The...

PyTorch Lightning 安全漏洞

PyTorch Lightning is an open-source deep learning model pre-training and fine-tuning framework developed by Lightning AI. Version 2.6.2 and 2.6.2 of PyTorch Lightning contain security vulnerabilities, which stem from the introduction of features similar to those used in credential collection...

CVE-2026-31214

The torch-checkpoint-shrink.py script in the ml-engineering project in commit 0099885db36a8f06556efe1faf552518852cb1e0 2025-20-27 contains an insecure deserialization vulnerability CWE-502. The script uses torch.load to process PyTorch checkpoint files .pt without enabling the security-restrictiv...

Deserialization of Untrusted Data

Overview ludwig is a Declarative machine learning: End-to-end machine learning pipelines using data-driven configurations. Affected versions of this package are vulnerable to Deserialization of Untrusted Data in the model serving process. An attacker can execute arbitrary code on the system by...

EUVD-2026-29561

The Ludwig framework thru 0.10.4 is vulnerable to insecure deserialization CWE-502 in its model serving component. When starting a model server with the ludwig serve command, the framework loads model weight files using torch.load without enabling the security-restrictive weightsonly=True...