CVE-2023-25669

Description

### 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 guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by r3pwnx of 360 AIVul Team

How to fix CVE-2023-25669

To remediate CVE-2023-25669, upgrade the affected package to a fixed version below.

—upgrade to 2.12.0 or later
—upgrade to 2.11.1 or later
—upgrade to 2.11.1 or later
—upgrade to 2.11.1 or later

Is CVE-2023-25669 being exploited?

Low — EPSS is 0.2%, meaning exploitation activity has not been observed at scale.

Affected packages (4)

from 0, < 2.12.0
from 0, < 2.11.1
from 0, < 2.11.1
from 0, < 2.11.1

CVSS scores

Source	Version	Severity	Vector
osv	CVSS 3.1	HIGH7.5	CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H