CVE-2022-41883: Out of bounds segmentation fault due to unequal op inputs in Tensorflow
First published: Fri Nov 18 2022(Updated: )
TensorFlow is an open source platform for machine learning. When ops that have specified input sizes receive a differing number of inputs, the executor will crash. We have patched the issue in GitHub commit f5381e0e10b5a61344109c1b7c174c68110f7629. 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 | =2.10.0 | |
| Google TensorFlow | =2.10.0-rc0 | |
| Google TensorFlow | =2.10.0-rc1 | |
| Google TensorFlow | =2.10.0-rc2 | |
| Google TensorFlow | =2.10.0-rc3 |
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Reference Links
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/dynamic_stitch_op.cc
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ops/data_flow_ops.cc
- https://github.com/tensorflow/tensorflow/commit/f5381e0e10b5a61344109c1b7c174c68110f7629
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-w58w-79xv-6vcj
Frequently Asked Questions
What is the vulnerability ID of this TensorFlow issue?
The vulnerability ID of this TensorFlow issue is CVE-2022-41883.
What is TensorFlow?
TensorFlow is an open source platform for machine learning.
What is the severity of CVE-2022-41883?
The severity of CVE-2022-41883 is high, with a severity value of 7.5.
What is the affected software?
The affected software is Google TensorFlow version 2.10.0 and its release candidates.
How can I fix CVE-2022-41883?
To fix CVE-2022-41883, you should update to TensorFlow 2.11 or apply the patch from GitHub commit f5381e0e10b5a61344109c1b7c174c68110f7629.
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