CVE-2022-35970 SUSE CVE security@suse.de SUSE Security Team SUSE CVE-2022-35970 Interim 1 5 2025-02-16T02:58:01Z current 2022-09-19T23:35:49Z 2025-02-16T02:58:01Z cve-database/bin/generate-cvrf-cve.pl 2020-12-27T01:00:00Z CVE-2022-35970 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 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 `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. CVE-2022-35970 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