Out of bounds segmentation fault due to unequal op inputs in Tensorflow
Impact
tf.raw_ops.DynamicStitch specifies input sizes when it is registered.
REGISTER_OP("DynamicStitch")
.Input("indices: N * int32")
.Input("data: N * T")
.Output("merged: T")
.Attr("N : int >= 1")
.Attr("T : type")
.SetShapeFn(DynamicStitchShapeFunction);When it receives a differing number of inputs, such as when it is called with an indices size 1 and a data size 2, it will crash.
import tensorflow as tf
# indices = 1*[tf.random.uniform([1,2], dtype=tf.dtypes.int32, maxval=100)]
indices = [tf.constant([[0, 1]]),]
# data = 2*[tf.random.uniform([1,2], dtype=tf.dtypes.float32, maxval=100)]
data = [tf.constant([[5, 6]]), tf.constant([[7, 8]])]
tf.raw_ops.DynamicStitch(
indices=indices,
data=data)Patches
We have patched the issue in GitHub commit f5381e0e10b5a61344109c1b7c174c68110f7629.
The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1 as this is also affected.
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 Zizhuang Deng of IIE, UCAS
Affected software
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| Platform | Package | Vulnerable versions | Fixed in |
|---|---|---|---|
| Python (PyPI) | tensorflow | >= 2.10.0, < 2.10.1 | 2.10.1 |
| Python (PyPI) | tensorflow-cpu | >= 2.10.0, < 2.10.1 | 2.10.1 |
| Python (PyPI) | tensorflow-gpu | >= 2.10.0, < 2.10.1 | 2.10.1 |
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-w58w-79xv-6vcj
- https://nvd.nist.gov/vuln/detail/CVE-2022-41883
- https://github.com/tensorflow/tensorflow/commit/f5381e0e10b5a61344109c1b7c174c68110f7629
- https://github.com/tensorflow/tensorflow
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/dynamic_stitch_op.cc
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ops/data_flow_ops.cc
- https://pypi.org/project/tensorflow-gpu
- https://github.com/advisories/GHSA-w58w-79xv-6vcj
- https://pypi.org/project/tensorflow
- https://pypi.org/project/tensorflow-cpu
- CVSS vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:L/I:L/A:H- Weakness (CWE)
CWE-125- Platform
- Python (PyPI)
- Package
tensorflow, tensorflow-cpu, tensorflow-gpu- Disclosed
- 21.11.2022
- Updated
- 11.10.2026 14:17
Sources and licenses
OSV / GitHub Advisory Database - PYSEC-2026-1042 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-3251 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - GHSA-w58w-79xv-6vcj - CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-3376 - 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
-
Out of bounds segmentation fault due to unequal op inputs in Tensorflow this entry
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