CVE-2022-36027

Summary

CVECVE-2022-36027
StatePUBLIC
Assigner[email protected]
Source PriorityCVE Program / NVD first with legacy fallback
Published2022-09-16 23:15:00 UTC
Updated2022-09-20 14:38:00 UTC
DescriptionTensorFlow is an open source platform for machine learning. When converting transposed convolutions using per-channel weight quantization the converter segfaults and crashes the Python process. We have patched the issue in GitHub commit aa0b852a4588cea4d36b74feb05d93055540b450. 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: NVD-CWE-noinfo

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
Skip reordering dq-q patterns when the new quantization dimension is … · tensorflow/tensorflow@aa0b852 · GitHub MISC github.com
Segfault TFLite converter on per-channel quantized transposed convolutions · Advisory · tensorflow/tensorflow · GitHub CONFIRM github.com
TFLite Converter segfaults when trying to convert per-channel quantized transposed convolutions · Issue #53767 · tensorflow/tensorflow · 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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