CVE-2022-35973CWE-20

Segfault in `QuantizedMatMul` in TensorFlow

Medium · published September 16, 2022

CVSS v3.1
5.9
EPSS
1%
Percentile
42.6
In the wild
Unconfirmed
What it is

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.

The record
Technical detail
CVSS v3.1
5.9 · MEDIUM
Vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
CVSS v4.0
Not supplied
EPSS
0.00510 · 42.6th percentile
Weakness
CWE-20 · Improper Input Validation
Published
2022-09-16T21:00Z
EPSS history
Timeline
  • 16 SEP 21:00Z
    Segfault in `QuantizedMatMul` in TensorFlow
    cvelistv5