CVE-2022-23595

Description

Tensorflow is an Open Source Machine Learning Framework. When building an XLA compilation cache, if default settings are used, TensorFlow triggers a null pointer dereference. In the default scenario, all devices are allowed, so `flr->config_proto` is `nullptr`. 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-2022-23595

To remediate CVE-2022-23595, 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 e21af685e1828f7ca65038307df5cc06de4479e8 or later
• —upgrade to 2.5.3 or later
• —upgrade to e21af685e1828f7ca65038307df5cc06de4479e8 or later

Is CVE-2022-23595 being exploited?

Low — EPSS is 0.2%, 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, < e21af685e1828f7ca65038307df5cc06de4479e8 | from 0, < 2.5.3, >= 2.6.0, < 2.6.3
• from 0, < 2.5.3
• from 0, < e21af685e1828f7ca65038307df5cc06de4479e8 | from 0, < 2.5.3, >= 2.6.0, < 2.6.3

CVSS scores

References (7)

• ADVISORYnvd.nist.gov/vuln/detail/CVE-2022-23595
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-103.yaml
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-158.yaml
• WEBgithub.com/tensorflow/tensorflow