Safety vulnerability ID: 44853
The information on this page was manually curated by our Cybersecurity Intelligence Team.
Tensorflow versions 2.5.3, 2.6.3, 2.7.1 and 2.8.0 include a fix for CVE-2022-23565: An attacker can trigger denial of service via assertion failure by altering a 'SavedModel' on disk such that 'AttrDef's of some operation are duplicated.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4v5p-v5h9-6xjx
Latest version: 2.18.0
TensorFlow is an open source machine learning framework for everyone.
Tensorflow is an Open Source Machine Learning Framework. An attacker can trigger denial of service via assertion failure by altering a `SavedModel` on disk such that `AttrDef`s of some operation are duplicated. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. See CVE-2022-23565.
CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4v5p-v5h9-6xjx: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4v5p-v5h9-6xjx
MISC:https://github.com/tensorflow/tensorflow/commit/c2b31ff2d3151acb230edc3f5b1832d2c713a9e0: https://github.com/tensorflow/tensorflow/commit/c2b31ff2d3151acb230edc3f5b1832d2c713a9e0
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