CVE-2025-71370

Vulnerability summary (CVE-2025-71370): picklescan before 0.0.28 fails to detect malicious torch.jit.unsupported_tensor_ops.execWrapper function calls embedded in pickle files. Attackers can craft malicious pickle files that bypass picklescan detection and execute arbitrary code when loaded via p...

The vulnerability of the `torch.Tensor.to_sparse()` and `torch.Tensor.to_dense()` methods in the PyTorch machine learning framework allows attackers to trigger a denial-of-service attack.

The vulnerability of the torch.Tensor.tosparse and torch.Tensor.todense methods in the PyTorch machine learning framework is related to uncontrolled resource consumption. Exploiting this vulnerability could allow a malicious actor to cause service failures...

CVE-2025-55560

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

BIT-TENSORFLOW-2021-41206 Incomplete validation of shapes in multiple TF ops

TensorFlow is an open source platform for machine learning. In affected versions several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call. Depending on the API, this can result in undefined behavior and segfault or CHECK-fail related crashes...

CVE-2021-41206

TensorFlow is an open source platform for machine learning. In affected versions several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call. Depending on the API, this can result in undefined behavior and segfault or CHECK-fail related crashes...

PT-2021-18264 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow version 2.4.2 TensorFlow version 2.3.3 TensorFlow version 2.2.3 TensorFlow version 2.1.4 Description: The issue arises when calling TF operations with tensors of non-numeric types, resulting in nu...