CVE-2022-36005CWE-617

`CHECK` fail in `FakeQuantWithMinMaxVarsGradient` in TensorFlow

Medium · published September 16, 2022

CVSS v3.1
5.9
EPSS
0%
Percentile
40.2
In the wild
Unconfirmed
What it is

TensorFlow is an open source platform for machine learning. When `tf.quantization.fake_quant_with_min_max_vars_gradient` receives input `min` or `max` that is nonscalar, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit f3cf67ac5705f4f04721d15e485e192bb319feed. 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
0.00478 · 40.2th percentile
Weakness
CWE-617 · Reachable Assertion
Published
2022-09-16T22:10Z
EPSS history
Timeline
  • 16 SEP 22:10Z
    `CHECK` fail in `FakeQuantWithMinMaxVarsGradient` in TensorFlow
    cvelistv5