CVE-2022-41889 – 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: Medium

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

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

EPSS: 0.00089 pctl0.26336

Details

Segfault via invalid attributes in `pywrap_tfe_src.cc` ### Impact If a list of quantized tensors is assigned to an attribute, the pywrap code fails to parse the tensor and returns a `nullptr`, which is not caught. An example can be seen in [`tf.compat.v1.extract_volume_patches`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/image/generate_box_proposals_op.cu.cc) by passing in quantized tensors as input `ksizes`. ```python import numpy as np import tensorflow as tf a_input = np.array([1, -1], dtype= np.int32) a_ksizes = a_strides = tf.constant(dtype=tf.dtypes.qint16, value=[[1, 4], [5, 2]]) tf.compat.v1.extract_volume_patches(input=a_input,ksizes=a_ksizes,strides=a_strides,padding='VALID') ``` ### Patches We have patched the issue in GitHub commit [e9e95553e5411834d215e6770c81a83a3d0866ce](https://github.com/tensorflow/tensorflow/commit/e9e95553e5411834d215e6770c81a83a3d0866ce). 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: 2022-11-21T20:42:00Z
Modified: 2025-01-15T16:58:58Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2022/11/GHSA-xxcj-rhqg-m46g/GHSA-xxcj-rhqg-m46g.json
CWE IDs: ["CWE-476"]
Alternative ID: GHSA-xxcj-rhqg-m46g
Finding: F002
Auto approve: 1