CVE-2023-25669
published 2023-03-25CVE-2023-25669: TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, if the stride and window size are not positive for…
PriorityP340high7.5CVSS 3.1
AVNACLPRNUINSUCNINAH
EPSS
0.39%
31.3th percentile
TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, if the stride and window size are not positive for `tf.raw_ops.AvgPoolGrad`, it can give a floating point exception. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.
Affected
8 ranges
| Vendor | Product | Version range | Fixed in |
|---|---|---|---|
| debian | tensorflow | — | — |
| tensorflow | < 2.12.0 | 2.12.0 | |
| intel | optimization_for_tensorflow | >= 0 < 2.11.1 | 2.11.1 |
| msrc | azl3_tensorflow_2.11.1-1_on_azure_linux_3.0 | — | — |
| msrc | azure_linux_3.0_arm | — | — |
| msrc | azure_linux_3.0_x64 | — | — |
| msrc | cbl2_tensorflow_2.11.1-1_on_cbl_mariner_2.0 | — | — |
| tensorflow | tensorflow | < 2.11.1 | 2.11.1 |
CVSS provenance
nvdv3.17.5HIGHCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
vendor_debian7.5LOW
vendor_msrc7.5HIGH
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Microsoft
TensorFlow has Floating Point Exception in AvgPoolGrad with XLA
vendor_msrc·2023-03-14·CVSS 7.5
CVE-2023-25669 [HIGH] CWE-697 TensorFlow has Floating Point Exception in AvgPoolGrad with XLA
TensorFlow has Floating Point Exception in AvgPoolGrad with XLA
FAQ: Is Azure Linux the only Microsoft product that includes this open-source library and is therefore potentially affected by this vulnerability?
One of the main benefits to our customers who choose to use the Azure Linux distro is the commitment to keep it up to date with the most recent and most secure versions of the open source libraries with which the distro is composed. Microsoft is committed to transparency in this work which is why we began publishing CSAF/VEX in October 2025. See this blog post for more information. If impact to additional products is identified, we will update the CVE to reflect this.
Mariner: Mariner
GitHub_M: GitHub_M
Customer Action Required: Yes
Remediation: CBL-Mariner Releases
Reference:
Debian
CVE-2023-25669: tensorflow - TensorFlow is an open source platform for machine learning. Prior to versions 2....
vendor_debian·2023·CVSS 7.5
CVE-2023-25669 [HIGH] CVE-2023-25669: tensorflow - TensorFlow is an open source platform for machine learning. Prior to versions 2....
TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, if the stride and window size are not positive for `tf.raw_ops.AvgPoolGrad`, it can give a floating point exception. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.
Scope: local
forky: resolved
sid: resolved
OSV
TensorFlow has Floating Point Exception in AvgPoolGrad with XLA
osv·2023-03-24
CVE-2023-25669 [HIGH] TensorFlow has Floating Point Exception in AvgPoolGrad with XLA
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.
```python
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](https://github.com/tensorflow/tensorflow/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
Please consult [our security
GHSA
TensorFlow has Floating Point Exception in AvgPoolGrad with XLA
ghsa·2023-03-24
CVE-2023-25669 [HIGH] CWE-697 TensorFlow has Floating Point Exception in AvgPoolGrad with XLA
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.
```python
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](https://github.com/tensorflow/tensorflow/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
Please consult [our security
No detection rules found.
No public exploits indexed.
No writeups or analysis indexed.
https://github.com/tensorflow/tensorflow/commit/1295ae4dbb52fe06b19733b0257e2340d7b63b8dhttps://github.com/tensorflow/tensorflow/security/advisories/GHSA-rcf8-g8jv-vg6phttps://github.com/tensorflow/tensorflow/commit/1295ae4dbb52fe06b19733b0257e2340d7b63b8dhttps://github.com/tensorflow/tensorflow/security/advisories/GHSA-rcf8-g8jv-vg6p
2023-03-25
Published