CVE-2021-41225

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Summary

CVECVE-2021-41225
StatePUBLIC
Assigner[email protected]
Source PriorityCVE Program / NVD first with legacy fallback
Published2021-11-05 23:15:00 UTC
Updated2021-11-10 16:55:00 UTC
DescriptionTensorFlow is an open source platform for machine learning. In affected versions TensorFlow's Grappler optimizer has a use of unitialized variable. If the `train_nodes` vector (obtained from the saved model that gets optimized) does not contain a `Dequeue` node, then `dequeue_node` is left unitialized. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Risk And Classification

Problem Types: CWE-908

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

References

ReferenceSourceLinkTags
A use of uninitialized value vulnerability in Tensorflow · Advisory · tensorflow/tensorflow · GitHub CONFIRM github.com
Prevent unitialized variable use in grappler. · tensorflow/tensorflow@68867bf · GitHub MISC github.com
CVE Program record CVE.ORG www.cve.org canonical
NVD vulnerability detail NVD nvd.nist.gov canonical, analysis

Legacy QID Mappings

  • 980190 Python (pip) Security Update for tensorflow-gpu (GHSA-7r94-xv9v-63jw)

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