---
id: CVE-2022-41910
aliases:
  - GHSA-frqp-wp83-qggv
  - BIT-tensorflow-2022-41910
  - PYSEC-2026-992
title: Heap overflow in `QuantizeAndDequantizeV2`
summary: Heap overflow in `QuantizeAndDequantizeV2`
severity: medium
cvss: 4.8
cvssVector: 'CVSS:3.1/AV:N/AC:H/PR:L/UI:R/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-frqp-wp83-qggv'
references:
  - url: >-
      https://github.com/tensorflow/tensorflow/security/advisories/GHSA-frqp-wp83-qggv
  - url: 'https://nvd.nist.gov/vuln/detail/CVE-2022-41910'
  - url: >-
      https://github.com/tensorflow/tensorflow/commit/a65411a1d69edfb16b25907ffb8f73556ce36bb7
  - url: 'https://github.com/tensorflow/tensorflow'
  - url: >-
      https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/grappler/utils/functions.cc#L221
tags:
  - osv
  - pip
epss: 0.00423
epssPercentile: 0.33871
ingestedAt: '2026-07-08T18:25:49.122Z'
---

## Overview

### Impact
The function [MakeGrapplerFunctionItem](https://https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/grappler/utils/functions.cc#L221) takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered.
```python
import tensorflow as tf
@tf.function
def test():
    tf.raw_ops.QuantizeAndDequantizeV2(input=[2.5],
    								   input_min=[1.0],
    								   input_max=[10.0],
    								   signed_input=True,
    								   num_bits=1,
    								   range_given=True,
    								   round_mode='HALF_TO_EVEN',
    								   narrow_range=True,
    								   axis=0x7fffffff)
test()
```

### Patches
We have patched the issue in GitHub commit [7b174a0f2e40ff3f3aa957aecddfd5aaae35eccb](https://github.com/tensorflow/tensorflow/commit/7b174a0f2e40ff3f3aa957aecddfd5aaae35eccb).

The fix will be included in TensorFlow 2.11.0. We will also cherrypick this commit on TensorFlow 2.10.1.


### 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.


## 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`