exploitDog

GHSA-h7ff-cfc9-wmmh

Опубликовано: 16 сент. 2022

Источник: github

Github: Прошло ревью

CVSS3: 5.9

Описание

TensorFlow vulnerable to CHECK fail in FakeQuantWithMinMaxVarsPerChannelGradient

Impact

When tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient receives input min or max of rank other than 1, it gives a CHECK fail that can trigger a denial of service attack.

import tensorflow as tf arg_0=tf.random.uniform(shape=(1,1), dtype=tf.float32, maxval=None) arg_1=tf.random.uniform(shape=(1,1), dtype=tf.float32, maxval=None) arg_2=tf.random.uniform(shape=(1,1), dtype=tf.float32, maxval=None) arg_3=tf.random.uniform(shape=(1,1), dtype=tf.float32, maxval=None) arg_4=8 arg_5=False arg_6=None tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient(gradients=arg_0, inputs=arg_1, min=arg_2, max=arg_3, num_bits=arg_4, narrow_range=arg_5, name=arg_6)

Patches

We have patched the issue in GitHub commit f3cf67ac5705f4f04721d15e485e192bb319feed.

The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, 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

刘力源, Information System & Security and Countermeasures Experiments Center, Beijing Institute of Technology
Neophytos Christou, Secure Systems Labs, Brown University

Ссылки

Пакеты

Наименование

tensorflow

pip

Затронутые версииВерсия исправления

< 2.7.2

2.7.2

Наименование

tensorflow

pip

Затронутые версииВерсия исправления

>= 2.8.0, < 2.8.1

2.8.1

Наименование

tensorflow

pip

Затронутые версииВерсия исправления

>= 2.9.0, < 2.9.1

2.9.1

Наименование

tensorflow-cpu

pip

Затронутые версииВерсия исправления

< 2.7.2

2.7.2

Наименование

tensorflow-cpu

pip

Затронутые версииВерсия исправления

>= 2.8.0, < 2.8.1

2.8.1

Наименование

tensorflow-cpu

pip

Затронутые версииВерсия исправления

>= 2.9.0, < 2.9.1

2.9.1

Наименование

tensorflow-gpu

pip

Затронутые версииВерсия исправления

< 2.7.2

2.7.2

Наименование

tensorflow-gpu

pip

Затронутые версииВерсия исправления

>= 2.8.0, < 2.8.1

2.8.1

Наименование

tensorflow-gpu

pip

Затронутые версииВерсия исправления

>= 2.9.0, < 2.9.1

2.9.1

EPSS

Процентиль: 19%

0.00061

Низкий

5.9 Medium

CVSS3

CVE ID

Дефекты

CWE-617

Связанные уязвимости

CVE-2022-35990

CVSS3: 5.9

nvd

больше 3 лет назад

TensorFlow is an open source platform for machine learning. When `tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient` receives input `min` or `max` of rank other than 1, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit f3cf67ac5705f4f04721d15e485e192bb319feed. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range.There are no known workarounds for this issue.

CVE-2022-35990

CVSS3: 5.9

debian

больше 3 лет назад

TensorFlow is an open source platform for machine learning. When `tf.q ...

EPSS

Процентиль: 19%

0.00061

Низкий

5.9 Medium

CVSS3

CVE ID

Дефекты

CWE-617