BIT-tensorflow-2022-35969

2024-03-0611:13:47

Google

osv.dev

tensorflow

conv2dbackpropinput

4-dimensional

denial of service

github

commit

patch

2.10.0

cherrypick

2.9.1

2.8.1

2.7.2

supported range

workarounds

CVSS3

7.5

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

HIGH

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

AI Score

6.6

Confidence

High

EPSS

0.001

Percentile

35.2%

JSON

TensorFlow is an open source platform for machine learning. The implementation of Conv2DBackpropInput requires input_sizes to be 4-dimensional. Otherwise, it gives a CHECK failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 50156d547b9a1da0144d7babe665cf690305b33c. 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.