CVE-2022-35973
Segfault in `QuantizedMatMul` in TensorFlow
Description
TensorFlow is an open source platform for machine learning. If `QuantizedMatMul` is given nonscalar input for: `min_a`, `max_a`, `min_b`, or `max_b` It gives a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit aca766ac7693bf29ed0df55ad6bfcc78f35e7f48. 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-2022-35973
To remediate CVE-2022-35973, 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-2022-35973 being exploited?
Low — EPSS is 0.1%, meaning exploitation activity has not been observed at scale.
Affected packages (4)
- >= 2.7.0, < 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 |