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.
Find out more about CVE-2022-35960 from the MITRE-CVE dictionary and NIST NVD
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Product Name | Status | Defect | Fixed | Downloads |
---|---|---|---|---|
Linux | ||||
Wind River Linux LTS 17 | Not Vulnerable | -- | -- | -- |
Wind River Linux 8 | Requires LTSS | -- | -- | -- |
Wind River Linux 9 | Requires LTSS | -- | -- | -- |
Wind River Linux 7 | Requires LTSS | -- | -- | -- |
Wind River Linux LTS 21 | Fixed |
LIN1021-4287 |
10.21.20.14 | -- |
Wind River Linux LTS 22 | Not Vulnerable | -- | -- | -- |
Wind River Linux LTS 18 | Not Vulnerable | -- | -- | -- |
Wind River Linux LTS 19 | Not Vulnerable | -- | -- | -- |
Wind River Linux CD release | Not Vulnerable | -- | -- | -- |
Wind River Linux 6 | Requires LTSS | -- | -- | -- |
Wind River Linux LTS 23 | Not Vulnerable | -- | -- | -- |
VxWorks | ||||
VxWorks 7 | Not Vulnerable | -- | -- | -- |
VxWorks 6.9 | Not Vulnerable | -- | -- | -- |
Helix Virtualization Platform Cert Edition | ||||
Helix Virtualization Platform Cert Edition | Not Vulnerable | -- | -- | -- |
Product Name | Status | Defect | Fixed | Downloads |
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