GHSA-rcf8-g8jv-vg6p

Опубликовано: 24 мар. 2023

Источник: github

Github: Прошло ревью

CVSS3: 7.5

Описание

TensorFlow has Floating Point Exception in AvgPoolGrad with XLA

Impact

If the stride and window size are not positive for tf.raw_ops.AvgPoolGrad, it can give an FPE.

import tensorflow as tf import numpy as np @tf.function(jit_compile=True) def test(): y = tf.raw_ops.AvgPoolGrad(orig_input_shape=[1,0,0,0], grad=[[[[0.39117979]]]], ksize=[1,0,0,0], strides=[1,0,0,0], padding="SAME", data_format="NCHW") return y print(test())

Patches

We have patched the issue in GitHub commit 1295ae4dbb52fe06b19733b0257e2340d7b63b8d.

The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by r3pwnx of 360 AIVul Team

Ссылки

Пакеты

Наименование

tensorflow

pip

Затронутые версииВерсия исправления

< 2.11.1

2.11.1

Наименование

tensorflow-cpu

pip

Затронутые версииВерсия исправления

< 2.11.1

2.11.1

Наименование

tensorflow-gpu

pip

Затронутые версииВерсия исправления

< 2.11.1

2.11.1

EPSS

Процентиль: 40%

0.00183

Низкий

7.5 High

CVSS3

CVE ID

CVE-2023-25669

Дефекты

CWE-697

Связанные уязвимости

CVE-2023-25669

CVSS3: 7.5

nvd

почти 3 года назад

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.raw_ops.AvgPoolGrad`, it can give a floating point exception. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.

CVE-2023-25669

CVSS3: 7.5

msrc

больше 1 года назад

Описание отсутствует

CVE-2023-25669

CVSS3: 7.5

debian

почти 3 года назад

TensorFlow is an open source platform for machine learning. Prior to v ...

EPSS

Процентиль: 40%

0.00183

Низкий

7.5 High

CVSS3

CVE ID

CVE-2023-25669

Дефекты

CWE-697