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GHSA-gpfh-jvf9-7wg5

Опубликовано: 10 нояб. 2021
Источник: github
Github: Прошло ревью
CVSS3: 7.8

Описание

Use after free / memory leak in CollectiveReduceV2

Impact

The async implementation of CollectiveReduceV2 suffers from a memory leak and a use after free:

import tensorflow as tf tf.raw_ops.CollectiveReduceV2( input=[], group_size=[-10, -10, -10], group_key=[-10, -10], instance_key=[-10], ordering_token=[], merge_op='Mul', final_op='Div')

This occurs due to the asynchronous computation and the fact that objects that have been std::move()d from are still accessed:

auto done_with_cleanup = [col_params, done = std::move(done)]() { done(); col_params->Unref(); }; OP_REQUIRES_OK_ASYNC(c, FillCollectiveParams(col_params, REDUCTION_COLLECTIVE, /*group_size*/ c->input(1), /*group_key*/ c->input(2), /*instance_key*/ c->input(3)), done);

Here, done is already moved from by the time OP_REQUIRES_OK_ASYNC macro needs to invoke it in case of errors. In this case, we get an undefined behavior, which can manifest via crashes, std::bad_alloc throws or just memory leaks.

Patches

We have patched the issue in GitHub commit ca38dab9d3ee66c5de06f11af9a4b1200da5ef75.

The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, as this version is the only one that is also affected.

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

Наименование

tensorflow-cpu

pip
Затронутые версииВерсия исправления

= 2.6.0

2.6.1

Наименование

tensorflow-gpu

pip
Затронутые версииВерсия исправления

= 2.6.0

2.6.1

EPSS

Процентиль: 5%
0.00021
Низкий

7.8 High

CVSS3

Дефекты

CWE-416

Связанные уязвимости

CVSS3: 7.8
nvd
больше 4 лет назад

TensorFlow is an open source platform for machine learning. In affected versions the async implementation of `CollectiveReduceV2` suffers from a memory leak and a use after free. This occurs due to the asynchronous computation and the fact that objects that have been `std::move()`d from are still accessed. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, as this version is the only one that is also affected.

CVSS3: 7.8
debian
больше 4 лет назад

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

EPSS

Процентиль: 5%
0.00021
Низкий

7.8 High

CVSS3

Дефекты

CWE-416