---
id: CVE-2022-41889
aliases:
  - GHSA-xxcj-rhqg-m46g
  - BIT-tensorflow-2022-41889
  - PYSEC-2026-1050
title: Segfault via invalid attributes in `pywrap_tfe_src.cc`
summary: Segfault via invalid attributes in `pywrap_tfe_src.cc`
severity: medium
cvss: 5.5
cvssVector: 'CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H'
vendor: tensorflow
product: tensorflow
ecosystem: pip
affected:
  - tensorflow < 2.8.4
  - 'tensorflow >= 2.9.0, < 2.9.3'
  - 'tensorflow >= 2.10.0, < 2.10.1'
  - tensorflow-cpu < 2.8.4
  - tensorflow-gpu < 2.8.4
  - 'tensorflow-cpu >= 2.9.0, < 2.9.3'
  - 'tensorflow-gpu >= 2.9.0, < 2.9.3'
  - 'tensorflow-cpu >= 2.10.0, < 2.10.1'
  - 'tensorflow-gpu >= 2.10.0, < 2.10.1'
patched:
  - tensorflow 2.8.4
  - tensorflow 2.9.3
  - tensorflow 2.10.1
  - tensorflow-cpu 2.8.4
  - tensorflow-gpu 2.8.4
  - tensorflow-cpu 2.9.3
  - tensorflow-gpu 2.9.3
  - tensorflow-cpu 2.10.1
  - tensorflow-gpu 2.10.1
published: '2022-11-21'
updated: '2026-07-07'
source: OSV
sourceUrl: 'https://osv.dev/vulnerability/GHSA-xxcj-rhqg-m46g'
references:
  - url: >-
      https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xxcj-rhqg-m46g
  - url: 'https://nvd.nist.gov/vuln/detail/CVE-2022-41889'
  - url: >-
      https://github.com/tensorflow/tensorflow/commit/e9e95553e5411834d215e6770c81a83a3d0866ce
  - url: 'https://github.com/tensorflow/tensorflow'
  - url: >-
      https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/image/generate_box_proposals_op.cu.cc
tags:
  - osv
  - pip
epss: 0.00435
epssPercentile: 0.37118
ingestedAt: '2026-07-08T18:25:54.714Z'
---

## Overview

### 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.


## Affected packages

- `tensorflow < 2.8.4`
- `tensorflow >= 2.9.0, < 2.9.3`
- `tensorflow >= 2.10.0, < 2.10.1`
- `tensorflow-cpu < 2.8.4`
- `tensorflow-gpu < 2.8.4`
- `tensorflow-cpu >= 2.9.0, < 2.9.3`
- `tensorflow-gpu >= 2.9.0, < 2.9.3`
- `tensorflow-cpu >= 2.10.0, < 2.10.1`
- `tensorflow-gpu >= 2.10.0, < 2.10.1`

## Remediation

Upgrade to a patched release:

- `tensorflow 2.8.4`
- `tensorflow 2.9.3`
- `tensorflow 2.10.1`
- `tensorflow-cpu 2.8.4`
- `tensorflow-gpu 2.8.4`
- `tensorflow-cpu 2.9.3`
- `tensorflow-gpu 2.9.3`
- `tensorflow-cpu 2.10.1`
- `tensorflow-gpu 2.10.1`