CVE-2022-23583 SUSE CVE security@suse.de SUSE Security Team SUSE CVE-2022-23583 Interim 1 5 2023-06-27T23:26:29Z current 2022-02-05T02:43:56Z 2023-06-27T23:26:29Z cve-database/bin/generate-cvrf-cve.pl 2020-12-27T01:00:00Z CVE-2022-23583 Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a `SavedModel` such that any binary op would trigger `CHECK` failures. This occurs when the protobuf part corresponding to the tensor arguments is modified such that the `dtype` no longer matches the `dtype` expected by the op. In that case, calling the templated binary operator for the binary op would receive corrupted data, due to the type confusion involved. If `Tin` and `Tout` don't match the type of data in `out` and `input_*` tensors then `flat<*>` would interpret it wrongly. In most cases, this would be a silent failure, but we have noticed scenarios where this results in a `CHECK` crash, hence a denial of service. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. 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-2.9.1-1.1 tensorflow-lite-devel-2.9.1-1.1 tensorflow-lite-2.9.1-1.1 as a component of openSUSE Tumbleweed tensorflow-lite-devel-2.9.1-1.1 as a component of openSUSE Tumbleweed Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a `SavedModel` such that any binary op would trigger `CHECK` failures. This occurs when the protobuf part corresponding to the tensor arguments is modified such that the `dtype` no longer matches the `dtype` expected by the op. In that case, calling the templated binary operator for the binary op would receive corrupted data, due to the type confusion involved. If `Tin` and `Tout` don't match the type of data in `out` and `input_*` tensors then `flat<*>` would interpret it wrongly. In most cases, this would be a silent failure, but we have noticed scenarios where this results in a `CHECK` crash, hence a denial of service. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. CVE-2022-23583 openSUSE Tumbleweed:tensorflow-lite-2.9.1-1.1 openSUSE Tumbleweed:tensorflow-lite-devel-2.9.1-1.1 critical 4 AV:N/AC:L/Au:S/C:N/I:N/A:P 6.5 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H