CVE-2022-35987

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Summary

CVECVE-2022-35987
StatePUBLIC
Assigner[email protected]
Source PriorityCVE Program / NVD first with legacy fallback
Published2022-09-16 22:15:00 UTC
Updated2022-09-20 14:54:00 UTC
DescriptionTensorFlow is an open source platform for machine learning. `DenseBincount` assumes its input tensor `weights` to either have the same shape as its input tensor `input` or to be length-0. A different `weights` shape will trigger a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bf4c14353c2328636a18bfad1e151052c81d5f43. 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

References

ReferenceSourceLinkTags
`CHECK` fail in `DenseBincount` · Advisory · tensorflow/tensorflow · GitHub CONFIRM github.com
Fix security vulnerability with DenseBincountOp · tensorflow/tensorflow@bf4c143 · GitHub MISC github.com
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NVD vulnerability detail NVD nvd.nist.gov canonical, analysis

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