CVE-2022-35996

Advisory

TensorFlow 2.7.4, 2.8.3 and 2.9.2 include a fix for CVE-2022-35996: Floating point exception in 'Conv2D'.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q5jv-m6qw-5g37

Affected package

Affected versions

Fixed versions

Vulnerability changelog

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. See CVE-2022-35996.


CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q5jv-m6qw-5g37: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q5jv-m6qw-5g37
MISC:https://github.com/tensorflow/tensorflow/commit/611d80db29dd7b0cfb755772c69d60ae5bca05f9: https://github.com/tensorflow/tensorflow/commit/611d80db29dd7b0cfb755772c69d60ae5bca05f9

Resources

• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q5jv-m6qw-5g37
• https://github.com/tensorflow/tensorflow/commit/611d80db29dd7b0cfb755772c69d60ae5bca05f9
• https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-35996