Vulnerabilidades

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.

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.from_pretrained() method uses torch.load() to load the pytorch_model.bin weight file without enabling the security-restrictive weights_only=True…

The CosyVoice project thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e (2025-30-21) contains an insecure deserialization vulnerability (CWE-502) in its model loading process. When loading model files (.pt) from a user-specified directory (via the --model_dir argument), the code uses torch.load() without the…

The Adversarial Robustness Toolbox (ART) thru 1.20.1 contains an insecure deserialization vulnerability (CWE-502) in its Kubeflow component's model loading functionality. When loading model weights from a file (e.g., model.pt) during robustness evaluation, the code uses torch.load() without the security-restrictive…

The Adversarial Robustness Toolbox (ART) thru 1.20.1 contains a remote code execution vulnerability in its Kubeflow component. The robustness evaluation function for PyTorch models uses the unsafe eval() function to dynamically evaluate user-supplied strings for the LossFn and Optimizer parameters without any…

PyTorch-Lightning versions 2.6.0 and earlier contain an insecure deserialization vulnerability (CWE-502) in the checkpoint loading mechanism. The LightningModule.load_from_checkpoint() method, which is commonly used to load saved model states, internally calls torch.load() without setting the security-restrictive…

The _load_model() function in the neural_magic_training.py script of the optimate project in commit a6d302f912b481c94370811af6b11402f51d377f (2024-07-21) is vulnerable to insecure deserialization (CWE-502). When a user provides a single model file path (e.g., .pt or .pth) via the --model command-line argument, the…

The _load_model() function in the neural_magic_training.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 state_dict.pt file via torch.load(), the function does not enable…

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-restrictive…

CosyVoice thru commit 6e01309e01bc93bbeb83bdd996b1182a81aaf11e (2025-30-21) contains an insecure deserialization vulnerability (CWE-502) in its average_model.py model averaging tool. The script loads PyTorch checkpoint files (epoch_*.pt) for model averaging using torch.load() without enabling the weights_only=True…

Wagtail is an open source content management system built on Django. Prior to 7.0.7, 7.3.2, and 7.4, the Documents and Images API incorrectly listed items in private collections. A user with access to the API could see the filename and name of documents and images in private collections. This vulnerability is fixed in…

Wagtail is an open source content management system built on Django. Prior to 7.0.7, 7.3.2, and 7.4, a CMS user with limited access to pages could copy a page they don't have access to to an area of the site they do. Once coped, they'd be able to view its contents, and potentially publish it. Permissions were…

Wagtail is an open source content management system built on Django. Prior to 7.0.7, 7.3.2, and 7.4, a CMS user with limited access to form pages could delete submissions to form pages they don't have access to by crafting a form submission to delete submissions on a page they do have access to for submissions they…

Wagtail is an open source content management system built on Django. Prior to 7.0.7, 7.3.2, and 7.4, a CMS user without the ability to edit a page could still access the history report for the page, potentially resulting in disclosure of sensitive information. This vulnerability is fixed in 7.0.7, 7.3.2, and 7.4.

Wagtail is an open source content management system built on Django. Prior to 7.0.7, 7.3.2, and 7.4, a CMS user without the ability to edit a page could access revisions of the page through the revision compare view if they knew the primary key of two revisions. This could potentially result in disclosure of sensitive…

NVIDIA APEX for Linux contains a vulnerability where an unauthorized attacker could cause a deserialization of untrusted data. This vulnerability affects environments that use PyTorch versions earlier than 2.6. A successful exploit of this vulnerability might lead to code execution, denial of service, escalation of…

A vulnerability was identified in PyTorch 2.10.0. The affected element is an unknown function of the component pt2 Loading Handler. The manipulation leads to deserialization. The attack can only be performed from a local environment. The exploit is publicly available and might be used. The project was informed of the…

Wagtail is an open source content management system built on Django. Prior to versions 6.3.8, 7.0.6, 7.2.3, and 7.3.1, a stored cross-site scripting (XSS) vulnerability exists on confirmation messages within the wagtail.contrib.simple_translation module. A user with access to the Wagtail admin area may create a page…

Wagtail is an open source content management system built on Django. Prior to versions 6.3.8, 7.0.6, 7.2.3, and 7.3.1, a stored cross-site scripting (XSS) vulnerability exists on rendering TableBlock blocks within a StreamField. A user with access to create or edit pages containing TableBlock StreamField blocks is…

Wagtail is an open source content management system built on Django. Prior to versions 6.3.6, 7.0.4, 7.1.3, 7.2.2, and 7.3, due to a missing permission check on the preview endpoints, a user with access to the Wagtail admin and knowledge of a model's fields can craft a form submission to obtain a preview rendering of…

PyTorch is a Python package that provides tensor computation. Prior to version 2.10.0, a vulnerability in PyTorch's `weights_only` unpickler allows an attacker to craft a malicious checkpoint file (`.pth`) that, when loaded with `torch.load(..., weights_only=True)`, can corrupt memory and potentially lead to arbitrary…

MooreThreads torch_musa through all versions contains an unsafe deserialization vulnerability in torch_musa.utils.compare_tool. The compare_for_single_op() and nan_inf_track_for_single_op() functions use pickle.load() on user-controlled file paths without validation, allowing arbitrary code execution. An attacker can…

An issue was discovered in PyTorch v2.5 and v2.7.1. Omission of profiler.stop() can cause torch.profiler.profile (PythonTracer) to crash or hang during finalization, leading to a Denial of Service (DoS).

An issue in pytorch v2.7.0 can lead to a Denial of Service (DoS) when a PyTorch model consists of torch.Tensor.to_sparse() and torch.Tensor.to_dense() and is compiled by Inductor.

A buffer overflow occurs in pytorch v2.7.0 when a PyTorch model consists of torch.nn.Conv2d, torch.nn.functional.hardshrink, and torch.Tensor.view-torch.mv() and is compiled by Inductor, leading to a Denial of Service (DoS).