CVE-2022-21728

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.

How to fix CVE-2022-21728

To remediate CVE-2022-21728, upgrade the affected package to a fixed version below.

• —upgrade to 2.5.3 or later
• —upgrade to 2.5.3 or later
• —upgrade to 2.5.3 or later
• —upgrade to 37c01fb5e25c3d80213060460196406c43d31995 or later
• —upgrade to 2.5.3 or later
• —upgrade to 37c01fb5e25c3d80213060460196406c43d31995 or later

Is CVE-2022-21728 being exploited?

Low — EPSS is 1.1%, meaning exploitation activity has not been observed at scale.

Affected packages (6)

• from 0, < 2.5.3, >= 2.6.0, < 2.6.3, >= 2.7.0, < 2.7.1
• from 0, < 2.5.3
• from 0, < 2.5.3
• from 0, < 37c01fb5e25c3d80213060460196406c43d31995 | from 0, < 2.5.3, >= 2.6.0, < 2.6.3
• from 0, < 2.5.3
• from 0, < 37c01fb5e25c3d80213060460196406c43d31995 | from 0, < 2.5.3, >= 2.6.0, < 2.6.3

CVSS scores

References (8)

• ADVISORYnvd.nist.gov/vuln/detail/CVE-2022-21728
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-52.yaml
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-107.yaml
• WEBgithub.com/tensorflow/tensorflow