PT-2026-59975

Impact If Conv2D is given empty input and the filter and padding sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack. python import tensorflow as tf import numpy as np with tf.device"CPU": also can...

PT-2026-59845

Impact If Conv2D is given empty input and the filter and padding sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack. python import tensorflow as tf import numpy as np with tf.device"CPU": also can...

PYSEC-2026-1029 TensorFlow vulnerable to floating point exception in `Conv2D`

Impact If Conv2D is given empty input and the filter and padding sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack. python import tensorflow as tf import numpy as np with tf.device"CPU": also can...

Vulnerabilities of methods like torch.nn.Conv2d(), torch.nn.functional.hardshrink(), torch.Tensor.view(), and torch.Tensor.mv() in the PyTorch machine learning framework, which allow attackers to trigger a denial-of-service attack.

The vulnerabilities of the methods torch.nn.Conv2d, torch.nn.functional.hardshrink, torch.Tensor.view, and torch.Tensor.mv in the PyTorch machine learning framework are related to uncontrolled resource consumption. Exploiting these vulnerabilities could allow a malicious actor to cause service...

The vulnerability of the `tf.keras.layers.Conv2D()` function in the TensorFlow machine learning system, which allows attackers to trigger a service denial-of-service attack.

The vulnerability of the tf.keras.layers.Conv2D function in TensorFlow’s machine learning system is related to uncontrolled resource consumption when the padding='valid' parameter is used. Exploiting this vulnerability could allow a malicious actor to cause a service failure...

Google TensorFlow 数字错误漏洞

Google TensorFlow is an end-to-end open source machine learning platform. A divide-by-zero error vulnerability exists in the tf.rawops.Conv2D implementation in TensorFlow versions prior to 2.5.0. No details of the vulnerability are provided at this time...