CVE-2021-37683

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Summary

CVECVE-2021-37683
StatePUBLIC
Assigner[email protected]
Source PriorityCVE Program / NVD first with legacy fallback
Published2021-08-12 23:15:00 UTC
Updated2021-08-18 21:57:00 UTC
DescriptionTensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of division in TFLite is [vulnerable to a division by 0 error](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/div.cc). There is no check that the divisor tensor does not contain zero elements. We have patched the issue in GitHub commit 1e206baedf8bef0334cca3eb92bab134ef525a28. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Risk And Classification

Problem Types: CWE-369

NVD Known Affected Configurations (CPE 2.3)

TypeVendorProductVersionUpdateEditionLanguage
Application Google Tensorflow All All All All
Application Google Tensorflow 2.5.0 All All All
Application Google Tensorflow 2.6.0 rc0 All All
Application Google Tensorflow 2.6.0 rc1 All All
Application Google Tensorflow 2.6.0 rc2 All All

References

ReferenceSourceLinkTags
FPE in TFLite division operations · Advisory · tensorflow/tensorflow · GitHub CONFIRM github.com
Prevent a division by 0 in division ops. · tensorflow/tensorflow@1e206ba · GitHub MISC github.com
CVE Program record CVE.ORG www.cve.org canonical
NVD vulnerability detail NVD nvd.nist.gov canonical, analysis

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