TensorFlow is an open source platform for machine learning. In affected versions the code behind `tf.function` API can be made to deadlock when two `tf.function` decorated Python functions are mutually recursive. This occurs due to using a non-reentrant `Lock` Python object. Loading any model which contains mutually recursive functions is vulnerable. An attacker can cause denial of service by causing users to load such models and calling a recursive `tf.function`, although this is not a frequent scenario. 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.
History

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cve-icon MITRE

Status: PUBLISHED

Assigner: GitHub_M

Published: 2021-11-05T22:10:11

Updated: 2024-08-04T03:08:31.502Z

Reserved: 2021-09-15T00:00:00

Link: CVE-2021-41213

cve-icon Vulnrichment

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cve-icon NVD

Status : Analyzed

Published: 2021-11-05T23:15:08.217

Modified: 2022-10-20T21:25:47.840

Link: CVE-2021-41213

cve-icon Redhat

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