---
id: CVE-2022-41883
aliases:
  - GHSA-w58w-79xv-6vcj
  - BIT-tensorflow-2022-41883
  - PYSEC-2026-1042
title: Out of bounds segmentation fault due to unequal op inputs in Tensorflow
summary: Out of bounds segmentation fault due to unequal op inputs in Tensorflow
severity: medium
cvss: 6.8
cvssVector: 'CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:L/I:L/A:H'
vendor: tensorflow
product: tensorflow
ecosystem: pip
affected:
  - 'tensorflow >= 2.10.0, < 2.10.1'
  - 'tensorflow-cpu >= 2.10.0, < 2.10.1'
  - 'tensorflow-gpu >= 2.10.0, < 2.10.1'
patched:
  - tensorflow 2.10.1
  - 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-w58w-79xv-6vcj'
references:
  - url: >-
      https://github.com/tensorflow/tensorflow/security/advisories/GHSA-w58w-79xv-6vcj
  - url: 'https://nvd.nist.gov/vuln/detail/CVE-2022-41883'
  - url: >-
      https://github.com/tensorflow/tensorflow/commit/f5381e0e10b5a61344109c1b7c174c68110f7629
  - url: 'https://github.com/tensorflow/tensorflow'
  - url: >-
      https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/dynamic_stitch_op.cc
  - url: >-
      https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ops/data_flow_ops.cc
tags:
  - osv
  - pip
epss: 0.00376
epssPercentile: 0.31543
ingestedAt: '2026-07-08T18:25:53.553Z'
---

## Overview

### Impact
 [`tf.raw_ops.DynamicStitch`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/dynamic_stitch_op.cc) specifies input sizes when it is [registered](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ops/data_flow_ops.cc). 
```cpp
REGISTER_OP("DynamicStitch")
    .Input("indices: N * int32")
    .Input("data: N * T")
    .Output("merged: T")
    .Attr("N : int >= 1")
    .Attr("T : type")
    .SetShapeFn(DynamicStitchShapeFunction);
```
When it receives a differing number of inputs, such as when it is called with an `indices` size 1 and a `data` size 2, it will crash.
```python
import tensorflow as tf

# indices = 1*[tf.random.uniform([1,2], dtype=tf.dtypes.int32, maxval=100)]
indices = [tf.constant([[0, 1]]),]

# data = 2*[tf.random.uniform([1,2], dtype=tf.dtypes.float32, maxval=100)]
data = [tf.constant([[5, 6]]), tf.constant([[7, 8]])]

tf.raw_ops.DynamicStitch(
    indices=indices, 
    data=data)
```

### Patches
We have patched the issue in GitHub commit [f5381e0e10b5a61344109c1b7c174c68110f7629](https://github.com/tensorflow/tensorflow/commit/f5381e0e10b5a61344109c1b7c174c68110f7629).

The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1 as this is also affected.


### 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 Zizhuang Deng of IIE, UCAS


## Affected packages

- `tensorflow >= 2.10.0, < 2.10.1`
- `tensorflow-cpu >= 2.10.0, < 2.10.1`
- `tensorflow-gpu >= 2.10.0, < 2.10.1`

## Remediation

Upgrade to a patched release:

- `tensorflow 2.10.1`
- `tensorflow-cpu 2.10.1`
- `tensorflow-gpu 2.10.1`