CVE-2021-37680

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Summary

CVECVE-2021-37680
StatePUBLIC
Assigner[email protected]
Source PriorityCVE Program / NVD first with legacy fallback
Published2021-08-12 22:15:00 UTC
Updated2021-08-18 20:29:00 UTC
DescriptionTensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of fully connected layers in TFLite is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/fully_connected.cc#L226). We have patched the issue in GitHub commit 718721986aa137691ee23f03638867151f74935f. 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
Prevent division by 0 in `fully_connected.cc` · tensorflow/tensorflow@7187219 · GitHub MISC github.com
Division by zero in TFLite · Advisory · tensorflow/tensorflow · GitHub CONFIRM github.com
CVE Program record CVE.ORG www.cve.org canonical
NVD vulnerability detail NVD nvd.nist.gov canonical, analysis

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