CVE-2023-25665

Description

### Impact When `SparseSparseMaximum` is given invalid sparse tensors as inputs, it can give an NPE. ```python import tensorflow as tf tf.raw_ops.SparseSparseMaximum( a_indices=[[1]], a_values =[ 0.1 ], a_shape = [2], b_indices=[[]], b_values =[2 ], b_shape = [2], ) ``` ### Patches We have patched the issue in GitHub commit [5e0ecfb42f5f65629fd7a4edd6c4afe7ff0feb04](https://github.com/tensorflow/tensorflow/commit/5e0ecfb42f5f65629fd7a4edd6c4afe7ff0feb04). 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 Yu Tian of Qihoo 360 AIVul Team

How to fix CVE-2023-25665

To remediate CVE-2023-25665, 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-2023-25665 being exploited?

Low — EPSS is 0.1%, 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