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GHSA-c5x2-p679-95wc

Опубликовано: 25 авг. 2021
Источник: github
Github: Прошло ревью
CVSS4: 7
CVSS3: 7.7

Описание

Null pointer dereference in SparseTensorSliceDataset

Impact

When a user does not supply arguments that determine a valid sparse tensor, tf.raw_ops.SparseTensorSliceDataset implementation can be made to dereference a null pointer:

import tensorflow as tf tf.raw_ops.SparseTensorSliceDataset( indices=[[],[],[]], values=[1,2,3], dense_shape=[3,3])

The implementation has some argument validation but fails to consider the case when either indices or values are provided for an empty sparse tensor when the other is not.

If indices is empty (as in the example above), then code that performs validation (i.e., checking that the indices are monotonically increasing) results in a null pointer dereference:

for (int64_t i = 0; i < indices->dim_size(0); ++i) { int64_t next_batch_index = indices->matrix<int64>()(i, 0); ... }

If indices as provided by the user is empty, then indices in the C++ code above is backed by an empty std::vector, hence calling indices->dim_size(0) results in null pointer dereferencing (same as calling std::vector::at() on an empty vector).

Patches

We have patched the issue in GitHub commit 02cc160e29d20631de3859c6653184e3f876b9d7.

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 members of the Aivul Team from Qihoo 360.

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: 14%
0.00044
Низкий

7 High

CVSS4

7.7 High

CVSS3

Дефекты

CWE-476

Связанные уязвимости

CVSS3: 7.7
nvd
больше 4 лет назад

TensorFlow is an end-to-end open source platform for machine learning. When a user does not supply arguments that determine a valid sparse tensor, `tf.raw_ops.SparseTensorSliceDataset` implementation can be made to dereference a null pointer. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/data/sparse_tensor_slice_dataset_op.cc#L240-L251) has some argument validation but fails to consider the case when either `indices` or `values` are provided for an empty sparse tensor when the other is not. If `indices` is empty, then [code that performs validation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/data/sparse_tensor_slice_dataset_op.cc#L260-L261) (i.e., checking that the indices are monotonically increasing) results in a null pointer dereference. If `indices` as provided by the user is empty, then `indices` in the C++ code above is backed b

CVSS3: 7.7
debian
больше 4 лет назад

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

suse-cvrf
больше 3 лет назад

Security update for tensorflow2

EPSS

Процентиль: 14%
0.00044
Низкий

7 High

CVSS4

7.7 High

CVSS3

Дефекты

CWE-476