TensorFlow vulnerable to seg fault in `tf.raw_ops.Print`
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.
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
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Attribution
This vulnerability has been reported by Yu Tian of Qihoo 360 AIVul Team
Affected software
Click a technology to see all vulnerabilities affecting it.
| Platform | Package | Vulnerable versions | Fixed in |
|---|---|---|---|
| Python (PyPI) | tensorflow | < 2.11.1 | 2.11.1 |
| Python (PyPI) | tensorflow-cpu | < 2.11.1 | 2.11.1 |
| Python (PyPI) | tensorflow-gpu | < 2.11.1 | 2.11.1 |
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qjqc-vqcf-5qvj
- https://nvd.nist.gov/vuln/detail/CVE-2023-25660
- https://github.com/tensorflow/tensorflow/commit/6d423b8bcc9aa9f5554dc988c1c16d038b508df1
- https://github.com/tensorflow/tensorflow
- https://pypi.org/project/tensorflow-gpu
- https://github.com/advisories/GHSA-qjqc-vqcf-5qvj
- https://pypi.org/project/tensorflow
- https://pypi.org/project/tensorflow-cpu
- CVSS vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H- Weakness (CWE)
CWE-476- Platform
- Python (PyPI)
- Package
tensorflow, tensorflow-cpu, tensorflow-gpu- Disclosed
- 24.03.2023
- Updated
- 11.10.2026 15:17
Sources and licenses
OSV / GitHub Advisory Database - PYSEC-2026-1963 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-3231 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-3362 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - GHSA-qjqc-vqcf-5qvj - CC BY 4.0
Vulnerability history: tensorflow-gpu
All published vulnerabilities of this package (Python (PyPI)), newest first. Shows whether this is a one-off slip or a package that needs watching.
- Total entries
- 427
- First → latest
- 04.2019 07.2024
- Without a fix
- 0
- Exploited in attacks
- 0
Severity breakdown
- Critical 6
- High 109
- Medium 207
- Low 105
Disclosures per year
- 2019: 7
- 2020: 35
- 2021: 200
- 2022: 166
- 2023: 18
- 2024: 1
- 2025: 0
- 2026: 0
-
TensorFlow vulnerable to seg fault in `tf.raw_ops.Print` this entry
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