TensorFlow has Floating Point Exception in AvgPoolGrad with XLA
Impact
If the stride and window size are not positive for tf.raw_ops.AvgPoolGrad, it can give an FPE.
import tensorflow as tf
import numpy as np
@tf.function(jit_compile=True)
def test():
y = tf.raw_ops.AvgPoolGrad(orig_input_shape=[1,0,0,0], grad=[[[[0.39117979]]]], ksize=[1,0,0,0], strides=[1,0,0,0], padding="SAME", data_format="NCHW")
return y
print(test())Patches
We have patched the issue in GitHub commit 1295ae4dbb52fe06b19733b0257e2340d7b63b8d.
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 r3pwnx of 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-rcf8-g8jv-vg6p
- https://nvd.nist.gov/vuln/detail/CVE-2023-25669
- https://github.com/tensorflow/tensorflow/commit/1295ae4dbb52fe06b19733b0257e2340d7b63b8d
- https://github.com/tensorflow/tensorflow
- https://pypi.org/project/tensorflow-gpu
- https://github.com/advisories/GHSA-rcf8-g8jv-vg6p
- 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-697- 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-2026-1964 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-3236 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-3366 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - GHSA-rcf8-g8jv-vg6p - 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 has Floating Point Exception in AvgPoolGrad with XLA this entry
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