7.5

CVE-2022-35996

Floating point exception in `Conv2D` in TensorFlow

TensorFlow is an open source platform for machine learning. If `Conv2D` is given empty `input` and the `filter` and `padding` sizes are valid, the output is all-zeros. This causes division-by-zero floating point exceptions that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 611d80db29dd7b0cfb755772c69d60ae5bca05f9. 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.
Daten sind bereitgestellt durch National Vulnerability Database (NVD)
Google ≫ Tensorflow Version < 2.7.2
Google ≫ Tensorflow Version >= 2.8.0 < 2.8.1
Google ≫ Tensorflow Version >= 2.9.0 < 2.9.1
Google ≫ Tensorflow Version 2.10 Update rc0
Google ≫ Tensorflow Version 2.10 Update rc1
Google ≫ Tensorflow Version 2.10 Update rc2
Google ≫ Tensorflow Version 2.10 Update rc3
Zu dieser CVE wurde keine Warnung gefunden.
EPSS Metriken
Typ Quelle Score Percentile
EPSS FIRST.org 0.41% 0.333
CVSS Metriken
Quelle Base Score Exploit Score Impact Score Vector String
NIST 7.5 3.9 3.6
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
security-advisories@github.com 5.9 2.2 3.6
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
CWE-369 Divide By Zero

The product divides a value by zero.

https://github.com/tensorflow/tensorflow/commit/611d80db29dd7b0cfb755772c69d60ae5bca05f9
Patch
Third Party Advisory
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q5jv-m6qw-5g37
Third Party Advisory