---
id: CVE-2023-25660
aliases:
  - GHSA-qjqc-vqcf-5qvj
  - BIT-tensorflow-2023-25660
  - PYSEC-2026-1963
  - PYSEC-2026-3231
  - PYSEC-2026-3362
title: TensorFlow vulnerable to seg fault in `tf.raw_ops.Print`
summary: TensorFlow vulnerable to seg fault in `tf.raw_ops.Print`
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: '2026-09-10T03:49:52.947172244Z'
source: OSV
sourceUrl: 'https://osv.dev/vulnerability/GHSA-qjqc-vqcf-5qvj'
references:
  - url: >-
      https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qjqc-vqcf-5qvj
  - url: 'https://nvd.nist.gov/vuln/detail/CVE-2023-25660'
  - url: >-
      https://github.com/tensorflow/tensorflow/commit/6d423b8bcc9aa9f5554dc988c1c16d038b508df1
  - url: 'https://github.com/tensorflow/tensorflow'
tags:
  - osv
  - pip
epss: 0.00394
epssPercentile: 0.33434
ingestedAt: '2026-07-08T18:25:52.453Z'
---

## Overview

### Impact
When the parameter `summarize` of `tf.raw_ops.Print` is zero, the new method `SummarizeArray<bool>` will reference to a nullptr, leading to a seg fault.

```python
import tensorflow as tf

tf.raw_ops.Print(input =  tf.constant([1, 1, 1, 1],dtype=tf.int32),
                            data =  [[False, False, False, False], [False], [False, False, False]],
                            message =  'tmp/I',
                            first_n = 100,
                            summarize = 0)
```

### Patches
We have patched the issue in GitHub commit [6d423b8bcc9aa9f5554dc988c1c16d038b508df1](https://github.com/tensorflow/tensorflow/commit/6d423b8bcc9aa9f5554dc988c1c16d038b508df1).

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`