CVE-2022-35985
`CHECK` fail in `LRNGrad` in TensorFlow
Description
TensorFlow is an open source platform for machine learning. If `LRNGrad` is given an `output_image` input tensor that is not 4-D, it results in a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bd90b3efab4ec958b228cd7cfe9125be1c0cf255. 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.
How to fix CVE-2022-35985
To remediate CVE-2022-35985, upgrade the affected package to a fixed version below.
- —upgrade to 2.7.2 or later
- —upgrade to 2.7.2 or later
- —upgrade to 2.7.2 or later
- —upgrade to 2.7.2 or later
Is CVE-2022-35985 being exploited?
Low — EPSS is 0.1%, meaning exploitation activity has not been observed at scale.
Affected packages (4)
- from 0, < 2.7.2, >= 2.8.0, < 2.8.1, >= 2.9.0, < 2.9.1
- from 0, < 2.7.2
- from 0, < 2.7.2
- from 0, < 2.7.2
CVSS scores
| Source | Version | Severity | Vector |
|---|---|---|---|
| osv | CVSS 3.1 | MEDIUM5.9 | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H |