---
id: CVE-2023-25674
aliases:
  - GHSA-gf97-q72m-7579
  - BIT-tensorflow-2023-25674
  - PYSEC-2026-999
title: 'TensorFlow has Null Pointer Error in RandomShuffle with XLA enable '
summary: 'TensorFlow has Null Pointer Error in RandomShuffle with XLA enable '
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: '2026-07-07'
source: OSV
sourceUrl: 'https://osv.dev/vulnerability/GHSA-gf97-q72m-7579'
references:
  - url: >-
      https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gf97-q72m-7579
  - url: 'https://nvd.nist.gov/vuln/detail/CVE-2023-25674'
  - url: >-
      https://github.com/tensorflow/tensorflow/commit/728113a3be690facad6ce436660a0bc1858017fa
  - url: 'https://github.com/tensorflow/tensorflow'
tags:
  - osv
  - pip
epss: 0.00394
epssPercentile: 0.30862
ingestedAt: '2026-07-08T18:25:49.705Z'
---

## Overview

### Impact
NPE in RandomShuffle with XLA enable 
```python
import tensorflow as tf

func = tf.raw_ops.RandomShuffle
para = {'value': 1e+20, 'seed': -4294967297, 'seed2': -2147483649}

@tf.function(jit_compile=True)
def test():
   y = func(**para)
   return y

test()
```

### Patches
We have patched the issue in GitHub commit [728113a3be690facad6ce436660a0bc1858017fa](https://github.com/tensorflow/tensorflow/commit/728113a3be690facad6ce436660a0bc1858017fa).

The fix will be included in TensorFlow 2.12.0. 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 r3pwnx


## 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`