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GHSA-jc87-6vpp-7ff3

Опубликовано: 25 сент. 2020
Источник: github
Github: Прошло ревью
CVSS4: 6.3
CVSS3: 5.4

Описание

Heap buffer overflow in Tensorflow

Impact

The SparseCountSparseOutput implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the indices tensor has the same shape as the values one. The values in these tensors are always accessed in parallel: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/kernels/count_ops.cc#L193-L195

Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers.

Patches

We have patched the issue in 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and will release a patch release.

We recommend users to upgrade to TensorFlow 2.3.1.

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 is a variant of GHSA-p5f8-gfw5-33w4

Пакеты

Наименование

tensorflow

pip
Затронутые версииВерсия исправления

= 2.3.0

2.3.1

Наименование

tensorflow-cpu

pip
Затронутые версииВерсия исправления

= 2.3.0

2.3.1

Наименование

tensorflow-gpu

pip
Затронутые версииВерсия исправления

= 2.3.0

2.3.1

EPSS

Процентиль: 38%
0.00169
Низкий

6.3 Medium

CVSS4

5.4 Medium

CVSS3

Дефекты

CWE-119
CWE-122

Связанные уязвимости

CVSS3: 5.4
nvd
больше 5 лет назад

In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has the same shape as the `values` one. The values in these tensors are always accessed in parallel. Thus, a shape mismatch can result in accesses outside the bounds of heap allocated buffers. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.

CVSS3: 5.4
debian
больше 5 лет назад

In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` impl ...

EPSS

Процентиль: 38%
0.00169
Низкий

6.3 Medium

CVSS4

5.4 Medium

CVSS3

Дефекты

CWE-119
CWE-122