CVE-2022-29196
Missing validation causes denial of service in TensorFlow via `Conv3DBackpropFilterV2`
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.Conv3DBackpropFilterV2` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code does not validate that the `filter_sizes` argument is a vector. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Productos afectados
tensorflow · tensorflow¿Quieres saber si tu infraestructura está expuesta a esto?
Hablar con TrueHacking →Referencias
https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/conv_grad_ops_3d.cchttps://github.com/tensorflow/tensorflow/commit/174c5096f303d5be7ed2ca2662b08371bff4ab88https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0https://github.com/tensorflow/tensorflow/security/advisories/GHSA-5v77-j66x-4c4g