PYSEC-2026-3929 Transformers save_pretrained path traversal allows arbitrary file writes through chat template names

A vulnerability in huggingface/transformers versions 5.10.0 allows an attacker to perform arbitrary file writes via path traversal. The issue resides in the savepretrained methods of PreTrainedTokenizerBase and ProcessorMixin, where keys from the chattemplate dictionary are used directly as...

Missing Authentication For Critical Function

Backpropagate is vulnerable to Missing Authentication for Critical Function. The vulnerability is due to the Reflex web UI failing to enforce the --auth authentication mechanism despite indicating it is enabled, which allows an attacker who can access the exposed UI port to perform unauthorized...

CVE-2026-44827

A flaw was found in Diffusers, a library for pretrained diffusion models. A remote attacker could exploit this vulnerability by publishing a malicious model repository containing a specially crafted file. When a victim loads a pipeline from the Hugging Face Hub repository, the malicious file is...

Deserialization of Untrusted Data

Overview transformers is a State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow Affected versions of this package are vulnerable to Deserialization of Untrusted Data due to unsafe deserialization of model configuration files, an attacker can craft a malicious config.json file...

CVE-2026-44827

Diffusers is the a library for pretrained diffusion models. Prior to 0.38.0, diffusers 0.37.0 allows remote code execution without the trustremotecode=True safeguard when loading pipelines from Hugging Face Hub repositories. The resolvecustompipelineandcls function in pipelineloadingutils.py...

PYSEC-2026-41

Diffusers is the a library for pretrained diffusion models. Prior to 0.38.0, diffusers 0.37.0 allows remote code execution without the trustremotecode=True safeguard when loading pipelines from Hugging Face Hub repositories. The resolvecustompipelineandcls function in pipelineloadingutils.py...

CVE-2026-44827 Diffusers: None.py Trust Remote Code Bypass

Diffusers is the a library for pretrained diffusion models. Prior to 0.38.0, diffusers 0.37.0 allows remote code execution without the trustremotecode=True safeguard when loading pipelines from Hugging Face Hub repositories. The resolvecustompipelineandcls function in pipelineloadingutils.py...

CVE-2026-44827

Diffusers is the a library for pretrained diffusion models. Prior to 0.38.0, diffusers 0.37.0 allows remote code execution without the trustremotecode=True safeguard when loading pipelines from Hugging Face Hub repositories. The resolvecustompipelineandcls function in pipelineloadingutils.py...

EUVD-2026-30332

Diffusers is the a library for pretrained diffusion models. Prior to 0.38.0, diffusers 0.37.0 allows remote code execution without the trustremotecode=True safeguard when loading pipelines from Hugging Face Hub repositories. The resolvecustompipelineandcls function in pipelineloadingutils.py...

CVE-2026-44827 Diffusers: None.py Trust Remote Code Bypass

Diffusers is the a library for pretrained diffusion models. Prior to 0.38.0, diffusers 0.37.0 allows remote code execution without the trustremotecode=True safeguard when loading pipelines from Hugging Face Hub repositories. The resolvecustompipelineandcls function in pipelineloadingutils.py...

CVE-2026-44827: Improper Control of Generation of Code

Diffusers is the a library for pretrained diffusion models. Prior to 0.38.0, diffusers 0.37.0 allows remote code execution without the trustremotecode=True safeguard when loading pipelines from Hugging Face Hub repositories. The resolvecustompipelineandcls function in pipelineloadingutils.py...

mamba language model framework vulnerable to insecure deserialization when loading pre-trained models from HuggingFace Hub

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...