CVE-2022-35937: OOB read in `Gather_nd` op in TensorFlow Lite
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 is triggered. This issue has been patched in GitHub commit 595a65a3e224a0362d7e68c2213acfc2b499a196. 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-2022-35937?
The severity of CVE-2022-35937 is classified as medium due to the potential for out-of-bounds memory reads.
How do I fix CVE-2022-35937?
To fix CVE-2022-35937, users should update TensorFlow to the latest stable version that addresses this vulnerability.
Which versions of TensorFlow are affected by CVE-2022-35937?
CVE-2022-35937 affects TensorFlow versions from 2.7.0 to 2.7.2, 2.8.0 to 2.8.1, 2.9.0 to 2.9.1, and specific release candidates of 2.10.
What is the impact of CVE-2022-35937 on TensorFlow applications?
The impact of CVE-2022-35937 includes potential application crashes and exposure to out-of-bounds memory access, which may lead to data corruption or unauthorized information leakage.
Are there workarounds for CVE-2022-35937 if an update cannot be applied?
Currently, there are no specific workarounds recommended for CVE-2022-35937; applying an update is the best course of action.