CVE-2022-35938: OOB read in `Gather_nd` op in TensorFlow Lite Micro
TensorFlow is an open source platform for machine learning. The GatherNd function 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. This issue has been patched in GitHub commit 4142e47e9e31db481781b955ed3ff807a781b494. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Affected Software
Remediation
Event History
Frequently Asked Questions
What is the severity of CVE-2022-35938?
CVE-2022-35938 is considered to have high severity due to the potential for out-of-bounds memory reads or crashes.
How do I fix CVE-2022-35938?
To fix CVE-2022-35938, upgrade TensorFlow to a version that is not affected, specifically 2.10-rc4 or later.
Which versions of TensorFlow are affected by CVE-2022-35938?
CVE-2022-35938 affects TensorFlow versions from 2.7.0 to 2.9.1, as well as the 2.10 release candidates RC0 to RC3.
What functionality is impacted by CVE-2022-35938?
The vulnerability affects the 'GatherNd' function in TensorFlow by causing an out-of-bounds memory issue.
Is there any workaround for CVE-2022-35938?
There are no known workarounds for CVE-2022-35938, so upgrading to a fixed version is recommended.