CVE-2022-23567

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Summary

CVECVE-2022-23567
StatePUBLIC
Assigner[email protected]
Source PriorityCVE Program / NVD first with legacy fallback
Published2022-02-03 12:15:00 UTC
Updated2022-02-09 03:23:00 UTC
DescriptionTensorflow is an Open Source Machine Learning Framework. The implementations of `Sparse*Cwise*` ops are vulnerable to integer overflows. These can be used to trigger large allocations (so, OOM based denial of service) or `CHECK`-fails when building new `TensorShape` objects (so, assert failures based denial of service). We are missing some validation on the shapes of the input tensors as well as directly constructing a large `TensorShape` with user-provided dimensions. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Risk And Classification

Problem Types: CWE-190

NVD Known Affected Configurations (CPE 2.3)

TypeVendorProductVersionUpdateEditionLanguage
Application Google Tensorflow 2.7.0 All All All
Application Google Tensorflow All All All All
Application Google Tensorflow All All All All

References

ReferenceSourceLinkTags
Add missing validation to sparse dense cwise ops. · tensorflow/tensorflow@1b54cad · GitHub MISC github.com
tensorflow/tfsa-2021-198.md at master · tensorflow/tensorflow · GitHub MISC github.com
tensorflow/sparse_dense_binary_op_shared.cc at 5100e359aef5c8021f2e71c7b986420b85ce7b3d · tensorflow/tensorflow · GitHub MISC github.com
Integer overflows in most sparse component-wise ops · Advisory · tensorflow/tensorflow · GitHub CONFIRM github.com
Prevent overflow in sparse dense cwise ops. · tensorflow/tensorflow@e952a89 · GitHub MISC github.com
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