Segfault in `tf.raw_ops.TensorListConcat`
Impact
If tf.raw_ops.TensorListConcat is given element_shape=[], it results segmentation fault which can be used to trigger a denial of service attack.
import tensorflow as tf
tf.raw_ops.TensorListConcat(
input_handle=tf.data.experimental.to_variant(tf.data.Dataset.from_tensor_slices([1, 2, 3])),
element_dtype=tf.dtypes.float32,
element_shape=[]
)
Patches
We have patched the issue in GitHub commit fc33f3dc4c14051a83eec6535b608abe1d355fde.
The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
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 Tong Liu, ShanghaiTech University
Affected software
Click a technology to see all vulnerabilities affecting it.
| Platform | Package | Vulnerable versions | Fixed in |
|---|---|---|---|
| Python (PyPI) | tensorflow | < 2.8.4, >= 2.9.0, < 2.9.3, >= 2.10.0, < 2.10.1 | 2.8.4, 2.9.3, 2.10.1 |
| Python (PyPI) | tensorflow-cpu | < 2.8.4, >= 2.9.0, < 2.9.3, >= 2.10.0, < 2.10.1 | 2.8.4, 2.9.3, 2.10.1 |
| Python (PyPI) | tensorflow-gpu | < 2.8.4, >= 2.9.0, < 2.9.3, >= 2.10.0, < 2.10.1 | 2.8.4, 2.9.3, 2.10.1 |
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-66vq-54fq-6jvv
- https://nvd.nist.gov/vuln/detail/CVE-2022-41891
- https://github.com/tensorflow/tensorflow/commit/fc33f3dc4c14051a83eec6535b608abe1d355fde
- https://github.com/tensorflow/tensorflow
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/list_kernels.h
- https://pypi.org/project/tensorflow
- https://github.com/advisories/GHSA-66vq-54fq-6jvv
- https://pypi.org/project/tensorflow-cpu
- https://pypi.org/project/tensorflow-gpu
- CVSS vector
CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H- Weakness (CWE)
CWE-20- Platform
- Python (PyPI)
- Package
tensorflow, tensorflow-cpu, tensorflow-gpu- Disclosed
- 21.11.2022
- Updated
- 11.10.2026 14:18
Sources and licenses
OSV / GitHub Advisory Database - PYSEC-2026-3117 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-3283 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - GHSA-66vq-54fq-6jvv - CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-957 - PyPA Advisory Database; 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
-
Segfault in `tf.raw_ops.TensorListConcat` this entry
Know which vulnerabilities affect your application
With the DockRay integration and software inventory enabled, DockRay checks reported component versions against known vulnerabilities and notifies you about confirmed matches. Coverage depends on the supported technology and available advisory data.