CVE-2022-36005

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Summary

CVECVE-2022-36005
StatePUBLIC
Assigner[email protected]
Source PriorityCVE Program / NVD first with legacy fallback
Published2022-09-16 23:15:00 UTC
Updated2022-09-20 14:42:00 UTC
DescriptionTensorFlow is an open source platform for machine learning. When `tf.quantization.fake_quant_with_min_max_vars_gradient` receives input `min` or `max` that is nonscalar, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit f3cf67ac5705f4f04721d15e485e192bb319feed. 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
Add IsScalar / IsVector (rank) checks to input min/max tensors for Fa… · tensorflow/tensorflow@f3cf67a · GitHub MISC github.com
`CHECK` fail in `FakeQuantWithMinMaxVarsGradient` · Advisory · tensorflow/tensorflow · GitHub CONFIRM github.com
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