CVE-2022-21727

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Summary

CVECVE-2022-21727
StatePUBLIC
Assigner[email protected]
Source PriorityCVE Program / NVD first with legacy fallback
Published2022-02-03 11:15:00 UTC
Updated2022-02-08 20:14:00 UTC
DescriptionTensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `Dequantize` is vulnerable to an integer overflow weakness. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes `axis + 1`, an attacker can trigger an integer overflow. 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-190

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
Integer overflow in shape inference for `Dequantize` · Advisory · tensorflow/tensorflow · GitHub CONFIRM github.com
tensorflow/array_ops.cc at 5100e359aef5c8021f2e71c7b986420b85ce7b3d · tensorflow/tensorflow · GitHub MISC github.com
Fix Integer overflow error in Dequantize op shape function, by adding… · tensorflow/tensorflow@b64638e · GitHub MISC github.com
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