CVE-2022-41902: Out of bounds write in grappler in Tensorflow
Impact The function MakeGrapplerFunctionItem takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered.
Patches We have patched the issue in GitHub commit a65411a1d69edfb16b25907ffb8f73556ce36bb7.
The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.10.1.
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 platform for machine learning. The function MakeGrapplerFunctionItem takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. We have patched the issue in GitHub commit a65411a1d69edfb16b25907ffb8f73556ce36bb7. The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.8.4, 2.9.3, and 2.10.1.
Affected Software
Remediation
Event History
Frequently Asked Questions
What is CVE-2022-41902?
CVE-2022-41902 is a vulnerability in the TensorFlow open-source machine learning platform.
What is the impact of CVE-2022-41902?
The impact of CVE-2022-41902 is that it allows an attacker to execute arbitrary code on a vulnerable system.
What software is affected by CVE-2022-41902?
The software affected by CVE-2022-41902 includes TensorFlow versions up to 2.8.4, 2.9.0 - 2.9.3, and 2.10.0 - 2.10.1.
How severe is CVE-2022-41902?
CVE-2022-41902 has a severity rating of 9.1 (critical).
How can I fix CVE-2022-41902?
To fix CVE-2022-41902, update TensorFlow to version 2.10.1.