PT-2025-39381

Name of the Vulnerable Software and Affected Versions PyTorch versions prior to 2.7.0 Description When torch.compile is used, the FractionalMaxPool2d function exhibits inconsistent results. This issue affects the accuracy of computations involving this specific function within the PyTorch...

AZL-60931 CVE-2025-2953 affecting package pytorch for versions less than 2.0.0-9

A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0+cu124. Affected by this issue is the function torch.mkldnnmaxpool2d. The manipulation leads to denial of service. An attack has to be approached locally. The exploit has been disclosed to the public and may be...

UBUNTU-CVE-2025-2953

A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0+cu124. Affected by this issue is the function torch.mkldnnmaxpool2d. The manipulation leads to denial of service. An attack has to be approached locally. The exploit has been disclosed to the public and may be...

PyTorch 安全漏洞

PyTorch is a Python package open-sourced by PyTorch. PyTorch suffers from a denial of service vulnerability caused by a floating point exception in the function torch.mkldnnmaxpool2d. An attacker can exploit this vulnerability to cause a denial of service...

TensorFlow has double free in Fractional(Max/Avg)Pool

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GHSA-F49C-87JH-G47Q TensorFlow has double free in Fractional(Max/Avg)Pool

Impact nnops.fractionalavgpoolv2 and nnops.fractionalmaxpoolv2 require the first and fourth elements of their parameter poolingratio to be equal to 1.0, as pooling on batch and channel dimensions is not supported. python import tensorflow as tf import os import numpy as np from...

SUSE CVE-2021-29573

TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.rawops.MaxPoolGradWithArgmax is vulnerable to a division by 0. The...

SUSE CVE-2021-29580

TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.rawops.FractionalMaxPoolGrad triggers an undefined behavior if one of the input tensors is empty. The code is also vulnerable to a denial of service attack as a CHECK condition becomes false and aborts...

SUSE CVE-2022-21739

Tensorflow is an Open Source Machine Learning Framework. The implementation of QuantizedMaxPool has an undefined behavior where user controlled inputs can trigger a reference binding to null pointer. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow...

SUSE CVE-2022-35989

TensorFlow is an open source platform for machine learning. When MaxPool receives a window size input array ksize with dimensions greater than its input tensor input, the GPU kernel gives a CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub comm...

FractionalMaxPool and FractionalAVGPool heap out-of-bounds acess in Tensorflow

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GHSA-XVWP-H6JV-7472 FractionalMaxPool and FractionalAVGPool heap out-of-bounds acess

Impact An input poolingratio that is smaller than 1 will trigger a heap OOB in tf.rawops.FractionalMaxPool and tf.rawops.FractionalAvgPool. Patches We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also cher...

GHSA-F2W8-JW48-FR7J `FractionalMaxPoolGrad` Heap out of bounds read

Impact If FractionMaxPoolGrad is given outsize inputs rowpoolingsequence and colpoolingsequence, TensorFlow will crash. python import tensorflow as tf tf.rawops.FractionMaxPoolGrad originput = 1, 1, 1, 1, 1, origoutput = 1, 1, 1, outbackprop = 3, 3, 6, rowpoolingsequence = -0x4000000, 1, 1,...

Out-of-bounds Write

Overview Affected versions of this package are vulnerable to Out-of-bounds Write in FractionalMaxAVGPool with illegal poolingratio. Attackers can access heap memory that is not in the user's control, leading to a crash or remote code execution. Remediation Upgrade tensorflow-lite to version 2.12....

Google TensorFlow 缓冲区错误漏洞

Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. A security vulnerability exists in Google TensorFlow that causes FractionalMaxAVG Pool to have an illegal poolingratio. attackers using Tensorflow can exploit this vulnerability. They can access heap...

CVE-2022-41897

TensorFlow is an open source platform for machine learning. If FractionMaxPoolGrad is given outsize inputs rowpoolingsequence and colpoolingsequence, TensorFlow will crash. We have patched the issue in GitHub commit d71090c3e5ca325bdf4b02eb236cfb3ee823e927. The fix will be included in TensorFlow...

GHSA-VXV8-R8Q2-63XW TensorFlow vulnerable to `CHECK` fail in `FractionalMaxPoolGrad`

Impact FractionalMaxPoolGrad validates its inputs with CHECK failures instead of with returning errors. If it gets incorrectly sized inputs, the CHECK failure can be used to trigger a denial of service attack: python import tensorflow as tf overlapping = True originput = tf.constant.453409232,...

Google TensorFlow 安全漏洞

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google, Inc. in the United States. Google TensorFlow suffers from a security vulnerability that stems from FractionalMaxPoolGrad validating its inputs by asserting a failure instead of returning an error. T...

PT-2022-23079

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.10.0 TensorFlow versions 2.9.1 and earlier TensorFlow versions 2.8.1 and earlier TensorFlow versions 2.7.2 and earlier Description The issue is related to the FractionalMaxPoolGrad function, which validates its...

GHSA-87V6-CRGM-2GFJ Division by zero in Tensorflow

Impact The implementation of FractionalMaxPool can be made to crash a TensorFlow process via a division by 0: python import tensorflow as tf import numpy as np tf.rawops.FractionalMaxPool value=tf.constantvalue=1, 4, 2, 3, dtype=tf.int64, poolingratio=1.0, 1.44, 1.73, 1.0, pseudorandom=False,...