First published: Fri Sep 16 2022(Updated: )
TensorFlow is an open source platform for machine learning. The `ScatterNd` function takes an input argument that determines the indices of of the output tensor. An input index greater than the output tensor or less than zero will either write content at the wrong index or trigger a crash. We have patched the issue in GitHub commit b4d4b4cb019bd7240a52daa4ba61e3cc814f0384. 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.
Credit: security-advisories@github.com
Affected Software | Affected Version | How to fix |
---|---|---|
Google TensorFlow | >=2.7.0<2.7.2 | |
Google TensorFlow | >=2.8.0<2.8.1 | |
Google TensorFlow | >=2.9.0<2.9.1 | |
Google TensorFlow | =2.10-rc0 | |
Google TensorFlow | =2.10-rc1 | |
Google TensorFlow | =2.10-rc2 | |
Google TensorFlow | =2.10-rc3 |
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The severity of CVE-2022-35939 is classified as high due to potential improper memory access.
CVE-2022-35939 can cause out-of-bounds memory access when using the ScatterNd function with invalid indices.
To fix CVE-2022-35939, upgrade to TensorFlow version 2.10 or later.
CVE-2022-35939 affects TensorFlow versions from 2.7.0 to 2.9.1, including specific release candidates.
CVE-2022-35939 involves improper handling of input indices in the ScatterNd function, leading to potential data corruption.