CVE-2022-35996 SUSE CVE security@suse.de SUSE Security Team SUSE CVE-2022-35996 Interim 1 5 2025-02-16T02:57:38Z current 2022-09-19T23:35:43Z 2025-02-16T02:57:38Z cve-database/bin/generate-cvrf-cve.pl 2020-12-27T01:00:00Z CVE-2022-35996 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. The CVRF data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0). https://www.suse.com/support/security/rating/ SUSE Security Ratings openSUSE Tumbleweed tensorflow-lite-2.10.0-1.1 tensorflow-lite-devel-2.10.0-1.1 tensorflow-lite-2.10.0-1.1 as a component of openSUSE Tumbleweed tensorflow-lite-devel-2.10.0-1.1 as a component of openSUSE Tumbleweed 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. CVE-2022-35996 openSUSE Tumbleweed:tensorflow-lite-2.10.0-1.1 openSUSE Tumbleweed:tensorflow-lite-devel-2.10.0-1.1 critical 7.5 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H