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GHSA-374m-jm66-3vj8

Опубликовано: 10 нояб. 2021
Источник: github
Github: Прошло ревью
CVSS4: 6.9
CVSS3: 7.1

Описание

Heap OOB in SparseBinCount

Impact

The implementation of SparseBinCount is vulnerable to a heap OOB:

import tensorflow as tf tf.raw_ops.SparseBincount( indices=[[0],[1],[2]] values=[0,-10000000] dense_shape=[1,1] size=[1] weights=[3,2,1] binary_output=False)

This is because of missing validation between the elements of the values argument and the shape of the sparse output:

for (int64_t i = 0; i < indices_mat.dimension(0); ++i) { const int64_t batch = indices_mat(i, 0); const Tidx bin = values(i); ... out(batch, bin) = ...; }

Patches

We have patched the issue in GitHub commit f410212e373eb2aec4c9e60bf3702eba99a38aba.

The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, 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 members of the Aivul Team from Qihoo 360.

Пакеты

Наименование

tensorflow

pip
Затронутые версииВерсия исправления

>= 2.6.0, < 2.6.1

2.6.1

Наименование

tensorflow

pip
Затронутые версииВерсия исправления

>= 2.5.0, < 2.5.2

2.5.2

Наименование

tensorflow

pip
Затронутые версииВерсия исправления

< 2.4.4

2.4.4

Наименование

tensorflow-cpu

pip
Затронутые версииВерсия исправления

>= 2.6.0, < 2.6.1

2.6.1

Наименование

tensorflow-cpu

pip
Затронутые версииВерсия исправления

>= 2.5.0, < 2.5.2

2.5.2

Наименование

tensorflow-cpu

pip
Затронутые версииВерсия исправления

< 2.4.4

2.4.4

Наименование

tensorflow-gpu

pip
Затронутые версииВерсия исправления

>= 2.6.0, < 2.6.1

2.6.1

Наименование

tensorflow-gpu

pip
Затронутые версииВерсия исправления

>= 2.5.0, < 2.5.2

2.5.2

Наименование

tensorflow-gpu

pip
Затронутые версииВерсия исправления

< 2.4.4

2.4.4

EPSS

Процентиль: 4%
0.00018
Низкий

6.9 Medium

CVSS4

7.1 High

CVSS3

Дефекты

CWE-125

Связанные уязвимости

CVSS3: 7.1
nvd
больше 4 лет назад

TensorFlow is an open source platform for machine learning. In affected versions the implementation of `SparseBinCount` is vulnerable to a heap OOB access. This is because of missing validation between the elements of the `values` argument and the shape of the sparse output. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

CVSS3: 7.1
debian
больше 4 лет назад

TensorFlow is an open source platform for machine learning. In affecte ...

EPSS

Процентиль: 4%
0.00018
Низкий

6.9 Medium

CVSS4

7.1 High

CVSS3

Дефекты

CWE-125