---
id: CVE-2023-25665
aliases:
  - GHSA-558h-mq8x-7q9g
  - BIT-tensorflow-2023-25665
  - PYSEC-2026-1956
  - PYSEC-2026-3106
  - PYSEC-2026-3276
title: TensorFlow has Null Pointer Error in SparseSparseMaximum
summary: TensorFlow has Null Pointer Error in SparseSparseMaximum
severity: high
cvss: 7.5
cvssVector: 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/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: '2026-09-10'
sourceUpdated: '2026-09-10T03:49:52.432720293Z'
source: OSV
sourceUrl: 'https://osv.dev/vulnerability/GHSA-558h-mq8x-7q9g'
references:
  - url: >-
      https://github.com/tensorflow/tensorflow/security/advisories/GHSA-558h-mq8x-7q9g
  - url: 'https://nvd.nist.gov/vuln/detail/CVE-2023-25665'
  - url: >-
      https://github.com/tensorflow/tensorflow/commit/5e0ecfb42f5f65629fd7a4edd6c4afe7ff0feb04
  - url: 'https://github.com/tensorflow/tensorflow'
tags:
  - osv
  - pip
epss: 0.00443
epssPercentile: 0.35763
ingestedAt: '2026-07-08T18:25:45.771Z'
---

## Overview

### Impact
When `SparseSparseMaximum` is given invalid sparse tensors as inputs, it can give an NPE. 

```python
import tensorflow as tf
tf.raw_ops.SparseSparseMaximum(
 a_indices=[[1]],
 a_values =[ 0.1 ],
 a_shape = [2],
 b_indices=[[]],
 b_values =[2 ],
 b_shape = [2],
)
```

### Patches
We have patched the issue in GitHub commit [5e0ecfb42f5f65629fd7a4edd6c4afe7ff0feb04](https://github.com/tensorflow/tensorflow/commit/5e0ecfb42f5f65629fd7a4edd6c4afe7ff0feb04).

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 has been reported by Yu Tian of Qihoo 360 AIVul Team

## 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`