exploitDog

GHSA-9697-98pf-4rw7

Опубликовано: 25 авг. 2021

Источник: github

Github: Прошло ревью

CVSS4: 6.8

CVSS3: 5.5

Описание

Heap OOB in UpperBound and LowerBound

Impact

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

import tensorflow as tf tf.raw_ops.UpperBound( sorted_input=[1,2,3], values=tf.constant(value=[[0,0,0],[1,1,1],[2,2,2]],dtype=tf.int64), out_type=tf.int64)

The implementation does not validate the rank of sorted_input argument:

void Compute(OpKernelContext* ctx) override { const Tensor& sorted_inputs_t = ctx->input(0); // ... OP_REQUIRES(ctx, sorted_inputs_t.dim_size(0) == values_t.dim_size(0), Status(error::INVALID_ARGUMENT, "Leading dim_size of both tensors must match.")); // ... if (output_t->dtype() == DT_INT32) { OP_REQUIRES(ctx, FastBoundsCheck(sorted_inputs_t.dim_size(1), ...)); // ... }

As we access the first two dimensions of sorted_inputs_t tensor, it must have rank at least 2.

A similar issue occurs in tf.raw_ops.LowerBound.

Patches

We have patched the issue in GitHub commit 42459e4273c2e47a3232cc16c4f4fff3b3a35c38.

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: 12%

0.0004

Низкий

6.8 Medium

CVSS4

5.5 Medium

CVSS3

CVE ID

Дефекты

CWE-125

Связанные уязвимости

CVE-2021-37670

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.UpperBound`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/searchsorted_op.cc#L85-L104) does not validate the rank of `sorted_input` argument. A similar issue occurs in `tf.raw_ops.LowerBound`. We have patched the issue in GitHub commit 42459e4273c2e47a3232cc16c4f4fff3b3a35c38. 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-2021-37670

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: 12%

0.0004

Низкий

6.8 Medium

CVSS4

5.5 Medium

CVSS3

CVE ID

Дефекты

CWE-125