CVE-2026-47749

stable-diffusion.cpp is a pure C/C++ library for running diffusion model Stable Diffusion, Flux, Wan, Qwen Image, Z-Image, and more inference. Versions prior to master-584-0a7ae07 are vulnerable to heap buffer overflow in SHORTBINUNICODE parsing for PyTorch checkpoint files. The pickle .ckpt pars...

CVE-2026-47749

The CVE-2026-47749 entry concerns stable-diffusion.cpp, a C/C++ library for diffusion-model inference. A flaw in the pickle .ckpt parser (src/model.cpp) allows a heap buffer overflow in SHORT_BINUNICODE handling due to sign confusion on the opcode length field. A crafted untrusted .ckpt file coul...

CVE-2026-47749 stable-diffusion.cpp: Heap buffer overflow in SHORT_BINUNICODE parsing for PyTorch checkpoint files

stable-diffusion.cpp is a pure C/C++ library for running diffusion model Stable Diffusion, Flux, Wan, Qwen Image, Z-Image, and more inference. Versions prior to master-584-0a7ae07 are vulnerable to heap buffer overflow in SHORTBINUNICODE parsing for PyTorch checkpoint files. The pickle .ckpt pars...

CVE-2026-47748

CVE-2026-47748 affects stable-diffusion.cpp (C/C++ library) prior to master-584-0a7ae07. The root cause is out-of-bounds reads in the PyTorch checkpoint pickle opcode parsing in src/model.cpp, where the parser sometimes advances buffer positions without validating remaining input, allowing reads ...

Security Bulletin: Security vulnerability in Python affects IBM Robotic Process Automation and IBM Robotic Process Automation for Cloud Pak

Summary A security vulnerability in Python affects IBM Robotic Process Automation and IBM Robotic Process Automation for Cloud Pak. Python is used by IBM Robotic Process Automation and IBM Robotic Process Automation for Cloud Pak as part of its deployment. This bulletin identifies the fixes...

CVE-2026-31228

A flaw was found in the Adversarial Robustness Toolbox ART, specifically within its Kubeflow component. The robustness evaluation function for PyTorch models uses the eval function to dynamically evaluate user-supplied strings for the LossFn and Optimizer parameters without proper sanitization. A...

CVE-2026-31239

The mamba language model framework thru 2.2.6 is vulnerable to insecure deserialization CWE-502 when loading pre-trained models from HuggingFace Hub. The MambaLMHeadModel.frompretrained method uses torch.load to load the pytorchmodel.bin weight file without enabling the security-restrictive...

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...

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 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

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 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...

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...

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...

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...