CVE-2022-35960

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Summary

CVECVE-2022-35960
StatePUBLIC
Assigner[email protected]
Source PriorityCVE Program / NVD first with legacy fallback
Published2022-09-16 20:15:00 UTC
Updated2022-09-21 17:09:00 UTC
DescriptionTensorFlow 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.

Risk And Classification

Problem Types: CWE-617

NVD Known Affected Configurations (CPE 2.3)

TypeVendorProductVersionUpdateEditionLanguage
Application Google Tensorflow All All All All
Application Google Tensorflow 2.10 rc0 All All
Application Google Tensorflow 2.10 rc1 All All
Application Google Tensorflow 2.10 rc2 All All
Application Google Tensorflow 2.10 rc3 All All
Application Google Tensorflow 2.8.0 All All All
Application Google Tensorflow 2.9.0 All All All

References

ReferenceSourceLinkTags
`CHECK` failure in `TensorListReserve` via missing validation · Advisory · tensorflow/tensorflow · GitHub CONFIRM github.com
tensorflow/list_kernels.cc at c8ba76d48567aed347508e0552a257641931024d · tensorflow/tensorflow · GitHub MISC github.com
Re-enable testTensorListReserveWithNonScalarNumElements to work with … · tensorflow/tensorflow@b5f6fbf · GitHub MISC github.com
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