CVE-2022-21730

Description

Tensorflow is an Open Source Machine Learning Framework. The implementation of `FractionalAvgPoolGrad` does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap. 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-2022-21730

To remediate CVE-2022-21730, 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 002408c3696b173863228223d535f9de72a101a9 or later
• —upgrade to 2.5.3 or later
• —upgrade to 002408c3696b173863228223d535f9de72a101a9 or later

Is CVE-2022-21730 being exploited?

Low — EPSS is 0.3%, 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, < 002408c3696b173863228223d535f9de72a101a9 | from 0, < 2.5.3, >= 2.6.0, < 2.6.3
• from 0, < 2.5.3
• from 0, < 002408c3696b173863228223d535f9de72a101a9 | from 0, < 2.5.3, >= 2.6.0, < 2.6.3

CVSS scores

References (7)

• ADVISORYnvd.nist.gov/vuln/detail/CVE-2022-21730
• PATCHgithub.com/tensorflow/tensorflow
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-54.yaml
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-109.yaml