GHSA-xf83-q765-xm6m – tensorflow

Package

Manager: pip
Name: tensorflow
Vulnerable Version: >=0 <2.8.4 || >=2.9.0 <2.9.3 || >=2.10.0 <2.10.1

Severity

Level: Low

CVSS v3.1: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N/E:U/RL:O/RC:C

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

EPSS: N/A pctlN/A

Details

`CHECK` fail in `TensorListScatter` and `TensorListScatterV2` in eager mode ### Impact Another instance of CVE-2022-35991, where `TensorListScatter` and `TensorListScatterV2` crash via non scalar inputs in`element_shape`, was found in eager mode and fixed. ```python import tensorflow as tf arg_0=tf.random.uniform(shape=(2, 2, 2), dtype=tf.float16, maxval=None) arg_1=tf.random.uniform(shape=(2, 2, 2), dtype=tf.int32, maxval=65536) arg_2=tf.random.uniform(shape=(2, 2, 2), dtype=tf.int32, maxval=65536) arg_3='' tf.raw_ops.TensorListScatter(tensor=arg_0, indices=arg_1, element_shape=arg_2, name=arg_3) ``` ### Patches We have patched the issue in GitHub commit [bf9932fc907aff0e9e8cccf769e8b00d30fd81a1](https://github.com/tensorflow/tensorflow/commit/bf9932fc907aff0e9e8cccf769e8b00d30fd81a1). The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, 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 Pattarakrit Rattankul

Metadata

Created: 2022-11-21T23:51:30Z
Modified: 2022-11-21T23:51:30Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2022/11/GHSA-xf83-q765-xm6m/GHSA-xf83-q765-xm6m.json
CWE IDs: []
Alternative ID: N/A
Finding: F184
Auto approve: 1