What is CVE-2022-41899?

CVE-2022-41899 is a vulnerability in TensorFlow, an open source platform for machine learning, that triggers a CHECK failure in SdcaOptimizer when inputs dense_features or example_state_data are not of rank 2.

What is the severity of CVE-2022-41899?

The severity of CVE-2022-41899 is high, with a severity value of 7.5.

How can I fix CVE-2022-41899?

To fix CVE-2022-41899, you can update TensorFlow to version 2.11 or apply the patch provided in GitHub commit 80ff197d03db2a70c6a111f97dcdacad1b0babfa.

Which versions of TensorFlow are affected by CVE-2022-41899?

Versions up to and including 2.8.4, 2.9.0 to 2.9.3, and 2.10.0 of TensorFlow are affected by CVE-2022-41899.

What is the Common Weakness Enumeration (CWE) ID for CVE-2022-41899?

The CWE IDs associated with CVE-2022-41899 are CWE-617 (Reachable Assertion) and CWE-20 (Improper Input Validation).

Vulnerability/
CVE-2022-41899

high

7.5

CWE

617 20

18/11/2022

3/8/2024

CVE-2022-41899: `CHECK` fail via inputs in `SdcaOptimizer` in Tensorflow

First published: Fri Nov 18 2022(Updated: )

TensorFlow is an open source platform for machine learning. Inputs `dense_features` or `example_state_data` not of rank 2 will trigger a `CHECK` fail in `SdcaOptimizer`. We have patched the issue in GitHub commit 80ff197d03db2a70c6a111f97dcdacad1b0babfa. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

Credit: security-advisories@github.com

Affected Software	Affected Version	How to fix
Google TensorFlow	<2.8.4
Google TensorFlow	>=2.9.0<2.9.3
Google TensorFlow	=2.10.0

Remedy

https://github.com/tensorflow/tensorflow/commit/80ff197d03db2a70c6a111f97dcdacad1b0babfa

Remedy

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-27rc-728f-x5w2

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Reference Links

Frequently Asked Questions

What is CVE-2022-41899?
CVE-2022-41899 is a vulnerability in TensorFlow, an open source platform for machine learning, that triggers a CHECK failure in SdcaOptimizer when inputs dense_features or example_state_data are not of rank 2.
What is the severity of CVE-2022-41899?
The severity of CVE-2022-41899 is high, with a severity value of 7.5.
How can I fix CVE-2022-41899?
To fix CVE-2022-41899, you can update TensorFlow to version 2.11 or apply the patch provided in GitHub commit 80ff197d03db2a70c6a111f97dcdacad1b0babfa.
Which versions of TensorFlow are affected by CVE-2022-41899?
Versions up to and including 2.8.4, 2.9.0 to 2.9.3, and 2.10.0 of TensorFlow are affected by CVE-2022-41899.
What is the Common Weakness Enumeration (CWE) ID for CVE-2022-41899?
The CWE IDs associated with CVE-2022-41899 are CWE-617 (Reachable Assertion) and CWE-20 (Improper Input Validation).

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