PYSEC-2026-1963
Vulnerability from pysec - Published: 2026-07-07 11:45 - Updated: 2026-07-07 17:25Impact
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.
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.
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 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
| Name | purl | tensorflow-gpu | pkg:pypi/tensorflow-gpu |
|---|
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "tensorflow-gpu",
"purl": "pkg:pypi/tensorflow-gpu"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.11.1"
}
],
"type": "ECOSYSTEM"
}
],
"versions": [
"0.12.0",
"0.12.1",
"1.0.0",
"1.0.1",
"1.1.0",
"1.10.0",
"1.10.1",
"1.11.0",
"1.12.0",
"1.12.2",
"1.12.3",
"1.13.1",
"1.13.2",
"1.14.0",
"1.15.0",
"1.15.2",
"1.15.3",
"1.15.4",
"1.15.5",
"1.2.0",
"1.2.1",
"1.3.0",
"1.4.0",
"1.4.1",
"1.5.0",
"1.5.1",
"1.6.0",
"1.7.0",
"1.7.1",
"1.8.0",
"1.9.0",
"2.0.0",
"2.0.1",
"2.0.2",
"2.0.3",
"2.0.4",
"2.1.0",
"2.1.1",
"2.1.2",
"2.1.3",
"2.1.4",
"2.10.0",
"2.10.0rc0",
"2.10.0rc1",
"2.10.0rc2",
"2.10.0rc3",
"2.10.1",
"2.11.0",
"2.11.0rc0",
"2.11.0rc1",
"2.11.0rc2",
"2.2.0",
"2.2.1",
"2.2.2",
"2.2.3",
"2.3.0",
"2.3.1",
"2.3.2",
"2.3.3",
"2.3.4",
"2.4.0",
"2.4.1",
"2.4.2",
"2.4.3",
"2.4.4",
"2.5.0",
"2.5.1",
"2.5.2",
"2.5.3",
"2.6.0",
"2.6.1",
"2.6.2",
"2.6.3",
"2.6.4",
"2.6.5",
"2.7.0",
"2.7.0rc0",
"2.7.0rc1",
"2.7.1",
"2.7.2",
"2.7.3",
"2.7.4",
"2.8.0",
"2.8.0rc0",
"2.8.0rc1",
"2.8.1",
"2.8.2",
"2.8.3",
"2.8.4",
"2.9.0",
"2.9.0rc0",
"2.9.0rc1",
"2.9.0rc2",
"2.9.1",
"2.9.2",
"2.9.3"
]
}
],
"aliases": [
"CVE-2023-25660",
"GHSA-qjqc-vqcf-5qvj"
],
"details": "### Impact\nWhen the parameter `summarize` of `tf.raw_ops.Print` is zero, the new method `SummarizeArray\u003cbool\u003e` will reference to a nullptr, leading to a seg fault.\n\n```python\nimport tensorflow as tf\n\ntf.raw_ops.Print(input = tf.constant([1, 1, 1, 1],dtype=tf.int32),\n data = [[False, False, False, False], [False], [False, False, False]],\n message = \u0027tmp/I\u0027,\n first_n = 100,\n summarize = 0)\n```\n\n### Patches\nWe have patched the issue in GitHub commit [6d423b8bcc9aa9f5554dc988c1c16d038b508df1](https://github.com/tensorflow/tensorflow/commit/6d423b8bcc9aa9f5554dc988c1c16d038b508df1).\n\nThe fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.\n\n\n### For more information\nPlease 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.\n\n\n### Attribution\nThis vulnerability has been reported by Yu Tian of Qihoo 360 AIVul Team\n",
"id": "PYSEC-2026-1963",
"modified": "2026-07-07T17:25:28.677092Z",
"published": "2026-07-07T11:45:17.408505Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qjqc-vqcf-5qvj"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-25660"
},
{
"type": "WEB",
"url": "https://github.com/tensorflow/tensorflow/commit/6d423b8bcc9aa9f5554dc988c1c16d038b508df1"
},
{
"type": "PACKAGE",
"url": "https://github.com/tensorflow/tensorflow"
},
{
"type": "PACKAGE",
"url": "https://pypi.org/project/tensorflow-gpu"
},
{
"type": "ADVISORY",
"url": "https://github.com/advisories/GHSA-qjqc-vqcf-5qvj"
}
],
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
],
"summary": "TensorFlow vulnerable to seg fault in `tf.raw_ops.Print`"
}
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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