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.
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References
History
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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
Vulnrichment
No data.
NVD
Status : Modified
Published: 2021-11-05T23:15:08.217
Modified: 2024-11-21T06:25:47.550
Link: CVE-2021-41213
Redhat
No data.