CVE-2022-21741

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Summary

CVECVE-2022-21741
StatePUBLIC
Assigner[email protected]
Source PriorityCVE Program / NVD first with legacy fallback
Published2022-02-03 15:15:00 UTC
Updated2022-02-09 05:36:00 UTC
DescriptionTensorflow is an Open Source Machine Learning Framework. ### Impact An attacker can craft a TFLite model that would trigger a division by zero in the implementation of depthwise convolutions. The parameters of the convolution can be user controlled and are also used within a division operation to determine the size of the padding that needs to be added before applying the convolution. There is no check before this division that the divisor is strictly positive. 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-369

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
tensorflow/depthwise_conv.cc at 5100e359aef5c8021f2e71c7b986420b85ce7b3d · tensorflow/tensorflow · GitHub MISC github.com
FPE in depthwise convolutions in TFLite · Advisory · tensorflow/tensorflow · GitHub CONFIRM github.com
[lite] Add validation check for dilation height/width to be positive … · tensorflow/tensorflow@e5b0eec · GitHub MISC github.com
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NVD vulnerability detail NVD nvd.nist.gov canonical, analysis

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