PYSEC-2026-3366 TensorFlow has Floating Point Exception in AvgPoolGrad with XLA

Impact If the stride and window size are not positive for tf.rawops.AvgPoolGrad, it can give an FPE. python import tensorflow as tf import numpy as np @tf.functionjitcompile=True def test: y = tf.rawops.AvgPoolGradoriginputshape=1,0,0,0, grad=0.39117979, ksize=1,0,0,0, strides=1,0,0,0,...

PYSEC-2026-3257 TensorFlow vulnerable to `CHECK` failures in `AvgPool3DGrad`

Impact The implementation of AvgPool3DGradOp does not fully validate the input originputshape. This results in an overflow that results in a CHECK failure which can be used to trigger a denial of service attack: python import tensorflow as tf ksize = 1, 1, 1, 1, 1 strides = 1, 1, 1, 1, 1 padding ...

PYSEC-2026-3247 Out of bounds read in Tensorflow

Impact The implementation of FractionalAvgPoolGrad does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap: python import tensorflow as tf @tf.function def test: y = tf.rawops.FractionalAvgPoolGrad originputtensorshape=2,2,2,2,...

SUSE CVE-2023-25669

TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, if the stride and window size are not positive for tf.rawops.AvgPoolGrad, it can give a floating point exception. A fix is included in TensorFlow version 2.12.0 and version 2.11.1...

Google TensorFlow 安全漏洞

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google, USA. A security vulnerability exists in TensorFlow version 2.12 prior to version 2.12.0 and version 2.11 prior to version 2.11.1, which stems from the fact that tf.rawops.AvgPoolGrad gives a...

CVE-2023-25664

TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, there is a heap buffer overflow in TAvgPoolGrad. A fix is included in TensorFlow 2.12.0 and 2.11.1...

CVE-2023-25669

TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, if the stride and window size are not positive for tf.rawops.AvgPoolGrad, it can give a floating point exception. A fix is included in TensorFlow version 2.12.0 and version 2.11.1...

GHSA-RCF8-G8JV-VG6P TensorFlow has Floating Point Exception in AvgPoolGrad with XLA

Impact If the stride and window size are not positive for tf.rawops.AvgPoolGrad, it can give an FPE. python import tensorflow as tf import numpy as np @tf.functionjitcompile=True def test: y = tf.rawops.AvgPoolGradoriginputshape=1,0,0,0, grad=0.39117979, ksize=1,0,0,0, strides=1,0,0,0,...

PT-2022-15064 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.8.0 TensorFlow versions 2.7.1 and earlier TensorFlow versions 2.6.3 and earlier TensorFlow versions 2.5.3 and earlier Description: The estimator for the cost of some convolution operations in TensorFlow can be...

PYSEC-2021-564

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation for tf.rawops.FractionalAvgPoolGrad can be tricked into accessing data outside of bounds of heap allocated buffers. The implementation does not validate that the input tensor is non-empt...

Google TensorFlow 缓冲区错误漏洞

Google TensorFlow is an end-to-end open source machine learning platform. A heap buffer overflow vulnerability exists in tf.rawops.FractionalAvgPoolGrad in Google TensorFlow. No detailed vulnerability details are provided at this time...