BIT-tensorflow-2022-35986

2024-03-0611:13:20

Google

osv.dev

tensorflow

machine learning

raggedbincount

denial of service

github

commit

vulnerability

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

32.3%

JSON

TensorFlow is an open source platform for machine learning. If RaggedBincount is given an empty input tensor splits, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 7a4591fd4f065f4fa903593bc39b2f79530a74b8. 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.