CVE-2022-35960: `CHECK` failure in `TensorListReserve` in TensorFlow
First published: Fri Sep 16 2022(Updated: )
TensorFlow is an open source platform for machine learning. In `core/kernels/list_kernels.cc's TensorListReserve`, `num_elements` is assumed to be a tensor of size 1. When a `num_elements` of more than 1 element is provided, then `tf.raw_ops.TensorListReserve` fails the `CHECK_EQ` in `CheckIsAlignedAndSingleElement`. We have patched the issue in GitHub commit b5f6fbfba76576202b72119897561e3bd4f179c7. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Credit: security-advisories@github.com
| Affected Software | Affected Version | How to fix |
|---|---|---|
| TensorFlow Keras | >=2.7.0<2.7.2 | |
| TensorFlow Keras | =2.8.0 | |
| TensorFlow Keras | =2.9.0 | |
| TensorFlow Keras | =2.10-rc0 | |
| TensorFlow Keras | =2.10-rc1 | |
| TensorFlow Keras | =2.10-rc2 | |
| TensorFlow Keras | =2.10-rc3 |
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Reference Links
- https://github.com/tensorflow/tensorflow/blob/c8ba76d48567aed347508e0552a257641931024d/tensorflow/core/kernels/list_kernels.cc#L322-L325
- https://github.com/tensorflow/tensorflow/commit/b5f6fbfba76576202b72119897561e3bd4f179c7
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-v5xg-3q2c-c2r4
Frequently Asked Questions
What is the severity of CVE-2022-35960?
CVE-2022-35960 is classified as a moderate severity vulnerability in TensorFlow.
How do I fix CVE-2022-35960?
To fix CVE-2022-35960, upgrade TensorFlow to version 2.10.0 or later.
What versions of TensorFlow are affected by CVE-2022-35960?
CVE-2022-35960 affects TensorFlow versions from 2.7.0 to 2.9.0, as well as certain release candidates of version 2.10.
What is the impact of CVE-2022-35960 on TensorFlow users?
The impact of CVE-2022-35960 may result in runtime errors when using the TensorListReserve operation with an incorrect number of elements.
Is there a workaround for CVE-2022-35960 if I cannot upgrade TensorFlow?
There is no official workaround for CVE-2022-35960, so upgrading TensorFlow is highly recommended.
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