CVE-2022-35970CWE-20

Segfault in `QuantizedInstanceNorm` 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 `QuantizedInstanceNorm` is given `x_min` or `x_max` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. 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
2022-09-16T20:45Z
EPSS history
Timeline
  • 16 SEP 20:45Z
    Segfault in `QuantizedInstanceNorm` in TensorFlow
    cvelistv5