CVE-2022-23565: `CHECK`-failures in Tensorflow
Impact An attacker can trigger denial of service via assertion failure by altering a SavedModel on disk such that AttrDefs of some operation are duplicated.
Patches We have patched the issue in GitHub commit c2b31ff2d3151acb230edc3f5b1832d2c713a9e0.
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.
For more information Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
Other sources
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 AttrDefs 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.
Affected Software
Remediation
Event History
Frequently Asked Questions
What is the vulnerability ID?
The vulnerability ID is CVE-2022-23565.
What is the severity of CVE-2022-23565?
The severity of CVE-2022-23565 is medium (6.5).
How can an attacker exploit CVE-2022-23565?
An attacker can trigger denial of service (DoS) by altering a `SavedModel` on disk.
What versions of TensorFlow are affected by CVE-2022-23565?
Versions 2.5.2, 2.6.0 to 2.6.2, and 2.7.0 of TensorFlow are affected by CVE-2022-23565.
Is there a fix available for CVE-2022-23565?
Yes, the fix will be included in TensorFlow 2.8.0.