exploitDog

GHSA-7ghq-fvr3-pj2x

Опубликовано: 25 авг. 2021

Источник: github

Github: Прошло ревью

CVSS4: 6.8

CVSS3: 5.5

Описание

Incomplete validation in MaxPoolGrad

Impact

An attacker can trigger a denial of service via a segmentation fault in tf.raw_ops.MaxPoolGrad caused by missing validation:

import tensorflow as tf tf.raw_ops.MaxPoolGrad( orig_input = tf.constant([], shape=[3, 0, 0, 2], dtype=tf.float32), orig_output = tf.constant([], shape=[3, 0, 0, 2], dtype=tf.float32), grad = tf.constant([], shape=[3, 0, 0, 2], dtype=tf.float32), ksize = [1, 16, 16, 1], strides = [1, 16, 18, 1], padding = "EXPLICIT", explicit_paddings = [0, 0, 14, 3, 15, 5, 0, 0])

The implementation misses some validation for the orig_input and orig_output tensors.

The fixes for CVE-2021-29579 were incomplete.

Patches

We have patched the issue in GitHub commit 136b51f10903e044308cf77117c0ed9871350475.

The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

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 Yakun Zhang of Baidu Security.

Ссылки

Пакеты

Наименование

tensorflow

pip

Затронутые версииВерсия исправления

< 2.3.4

2.3.4

Наименование

tensorflow

pip

Затронутые версииВерсия исправления

>= 2.4.0, < 2.4.3

2.4.3

Наименование

tensorflow

pip

Затронутые версииВерсия исправления

= 2.5.0

2.5.1

Наименование

tensorflow-cpu

pip

Затронутые версииВерсия исправления

< 2.3.4

2.3.4

Наименование

tensorflow-cpu

pip

Затронутые версииВерсия исправления

>= 2.4.0, < 2.4.3

2.4.3

Наименование

tensorflow-cpu

pip

Затронутые версииВерсия исправления

= 2.5.0

2.5.1

Наименование

tensorflow-gpu

pip

Затронутые версииВерсия исправления

< 2.3.4

2.3.4

Наименование

tensorflow-gpu

pip

Затронутые версииВерсия исправления

>= 2.4.0, < 2.4.3

2.4.3

Наименование

tensorflow-gpu

pip

Затронутые версииВерсия исправления

= 2.5.0

2.5.1

EPSS

Процентиль: 9%

0.00032

Низкий

6.8 Medium

CVSS4

5.5 Medium

CVSS3

CVE ID

Дефекты

CWE-1284

CWE-20

Связанные уязвимости

CVE-2021-37674

CVSS3: 5.5

nvd

больше 4 лет назад

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a segmentation fault in `tf.raw_ops.MaxPoolGrad` caused by missing validation. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/maxpooling_op.cc) misses some validation for the `orig_input` and `orig_output` tensors. The fixes for CVE-2021-29579 were incomplete. We have patched the issue in GitHub commit 136b51f10903e044308cf77117c0ed9871350475. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

CVE-2021-37674

CVSS3: 5.5

debian

больше 4 лет назад

TensorFlow is an end-to-end open source platform for machine learning. ...

openSUSE-SU-2022:10014-1

suse-cvrf

больше 3 лет назад

Security update for tensorflow2

EPSS

Процентиль: 9%

0.00032

Низкий

6.8 Medium

CVSS4

5.5 Medium

CVSS3

CVE ID

Дефекты

CWE-1284

CWE-20