CVE-2022-21728

Published Feb 3, 2022

Last updated 3 years ago

Overview

Description
Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `ReverseSequence` does not fully validate the value of `batch_dim` and can result in a heap OOB read. There is a check to make sure the value of `batch_dim` does not go over the rank of the input, but there is no check for negative values. Negative dimensions are allowed in some cases to mimic Python's negative indexing (i.e., indexing from the end of the array), however if the value is too negative then the implementation of `Dim` would access elements before the start of an array. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Source
security-advisories@github.com
NVD status
Analyzed

Social media

Hype score
Not currently trending

Risk scores

CVSS 3.1

Type
Primary
Base score
8.1
Impact score
5.2
Exploitability score
2.8
Vector string
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
Severity
HIGH

CVSS 2.0

Type
Primary
Base score
5.5
Impact score
4.9
Exploitability score
8
Vector string
AV:N/AC:L/Au:S/C:P/I:N/A:P

Weaknesses

nvd@nist.gov
CWE-125

Configurations