CVE-2022-29207

Summary

CVECVE-2022-29207
StatePUBLIC
Assigner[email protected]
Source PriorityCVE Program / NVD first with legacy fallback
Published2022-05-20 22:16:00 UTC
Updated2022-06-02 18:12:00 UTC
DescriptionTensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid. In graph mode, it would have been impossible to perform these API calls, but migration to TF 2.x eager mode opened up this vulnerability. If the resource handle is empty, then a reference is bound to a null pointer inside TensorFlow codebase (various codepaths). This is undefined behavior. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

Risk And Classification

Problem Types: CWE-20 | CWE-475

NVD Known Affected Configurations (CPE 2.3)

TypeVendorProductVersionUpdateEditionLanguage
Application Google Tensorflow All All All All
Application Google Tensorflow 2.7.0 rc0 All All
Application Google Tensorflow 2.7.0 rc1 All All
Application Google Tensorflow 2.8.0 - All All
Application Google Tensorflow 2.8.0 rc0 All All
Application Google Tensorflow 2.8.0 rc1 All All
Application Google Tensorflow 2.9.0 rc0 All All
Application Google Tensorflow 2.9.0 rc1 All All

References

ReferenceSourceLinkTags
Release TensorFlow 2.8.1 · tensorflow/tensorflow · GitHub MISC github.com
Undefined behavior when users supply invalid resource handles · Advisory · tensorflow/tensorflow · GitHub CONFIRM github.com
Release TensorFlow 2.9.0 · tensorflow/tensorflow · GitHub MISC github.com
Release TensorFlow 2.7.2 · tensorflow/tensorflow · GitHub MISC github.com
Release TensorFlow 2.6.4 · tensorflow/tensorflow · GitHub MISC github.com
Fix empty resource handle vulnerability. · tensorflow/tensorflow@a5b89cd · GitHub MISC github.com
Fix segfault from passing invalid input to tf.summary.flush() · tensorflow/tensorflow@dbdd98c · 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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