CVE-2022-23571

Description

Tensorflow is an Open Source Machine Learning Framework. When decoding a tensor from protobuf, a TensorFlow process can encounter cases where a `CHECK` assertion is invalidated based on user controlled arguments, if the tensors have an invalid `dtype` and 0 elements or an invalid shape. This allows attackers to cause denial of services in TensorFlow processes. 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-2022-23571

To remediate CVE-2022-23571, 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 5b491cd5e41ad63735161cec9c2a568172c8b6a3 or later
• —upgrade to 2.5.3 or later
• —upgrade to 5b491cd5e41ad63735161cec9c2a568172c8b6a3 or later

Is CVE-2022-23571 being exploited?

Low — EPSS is 0.1%, 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, < 5b491cd5e41ad63735161cec9c2a568172c8b6a3 | from 0, < 2.5.3, >= 2.6.0, < 2.6.3
• from 0, < 2.5.3
• from 0, < 5b491cd5e41ad63735161cec9c2a568172c8b6a3 | from 0, < 2.5.3, >= 2.6.0, < 2.6.3

CVSS scores

References (6)

• ADVISORYnvd.nist.gov/vuln/detail/CVE-2022-23571
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2022-80.yaml
• WEBgithub.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2022-135.yaml
• WEBgithub.com/tensorflow/tensorflow