Safety vulnerability ID: 42460
The information on this page was manually curated by our Cybersecurity Intelligence Team.
Tensorflow versions 2.4.4, 2.5.2 and 2.6.1 include a fix for CVE-2021-41213: 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.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h67m-xg8f-fxcf
https://github.com/tensorflow/tensorflow/commit/afac8158d43691661ad083f6dd9e56f327c1dcb7
Latest version: 2.18.0
TensorFlow is an open source machine learning framework for everyone.
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. See CVE-2021-41213.
CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h67m-xg8f-fxcf: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-h67m-xg8f-fxcf
MISC:https://github.com/tensorflow/tensorflow/commit/afac8158d43691661ad083f6dd9e56f327c1dcb7: https://github.com/tensorflow/tensorflow/commit/afac8158d43691661ad083f6dd9e56f327c1dcb7
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