CVE-2022-21736 – tensorflow

Package

Manager: pip
Name: tensorflow
Vulnerable Version: >=0 <2.5.3 || >=2.6.0 <2.6.3 || =2.7.0 || >=2.7.0 <2.7.1

Severity

Level: High

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

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

EPSS: 0.0025 pctl0.48231

Details

Undefined behavior in `SparseTensorSliceDataset` ### Impact The [implementation of `SparseTensorSliceDataset`](https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/data/sparse_tensor_slice_dataset_op.cc#L227-L292) has an undefined behavior: under certain condition it can be made to dereference a `nullptr` value: ```python import tensorflow as tf import numpy as np tf.raw_ops.SparseTensorSliceDataset( indices=[[]], values=[], dense_shape=[1,1]) ``` The 3 input arguments represent a sparse tensor. However, there are some preconditions that these arguments must satisfy but these are not validated in the implementation. ### Patches We have patched the issue in GitHub commit [965b97e4a9650495cda5a8c210ef6684b4b9eceb](https://github.com/tensorflow/tensorflow/commit/965b97e4a9650495cda5a8c210ef6684b4b9eceb). 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. ### 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 Faysal Hossain Shezan from University of Virginia.

Metadata

Created: 2022-02-09T23:43:27Z
Modified: 2024-11-13T22:32:09Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2022/02/GHSA-pfjj-m3jj-9jc9/GHSA-pfjj-m3jj-9jc9.json
CWE IDs: ["CWE-476"]
Alternative ID: GHSA-pfjj-m3jj-9jc9
Finding: F002
Auto approve: 1