exploitDog

GHSA-5hj3-vjjf-f5m7

Опубликовано: 25 авг. 2021

Источник: github

Github: Прошло ревью

CVSS4: 6.8

CVSS3: 5.5

Описание

Heap OOB in SdcaOptimizerV2

Impact

An attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to tf.raw_ops.SdcaOptimizerV2:

import tensorflow as tf tf.raw_ops.SdcaOptimizerV2( sparse_example_indices=[[1]], sparse_feature_indices=[[1]], sparse_feature_values=[[1.0,2.0]], dense_features=[[1.0]], example_weights=[1.0], example_labels=[], sparse_indices=[1], sparse_weights=[1.0], dense_weights=[[1.0]], example_state_data=[[100.0,100.0,100.0,100.0]], loss_type='logistic_loss', l1=100.0, l2=100.0, num_loss_partitions=1, num_inner_iterations=1, adaptive=True)

The implementation does not check that the length of example_labels is the same as the number of examples.

Patches

We have patched the issue in GitHub commit a4e138660270e7599793fa438cd7b2fc2ce215a6.

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.

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: 3%

0.00016

Низкий

6.8 Medium

CVSS4

5.5 Medium

CVSS3

CVE ID

Дефекты

CWE-125

Связанные уязвимости

CVE-2021-37672

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 read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `tf.raw_ops.SdcaOptimizerV2`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/sdca_internal.cc#L320-L353) does not check that the length of `example_labels` is the same as the number of examples. We have patched the issue in GitHub commit a4e138660270e7599793fa438cd7b2fc2ce215a6. 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-2021-37672

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: 3%

0.00016

Низкий

6.8 Medium

CVSS4

5.5 Medium

CVSS3

CVE ID

Дефекты

CWE-125