CVE-2022-41887 MEDIUM

CVE-2022-41887: Overflow in `tf.keras.losses.poisson` in Tensorflow

Vendor Tensorflow
Product tensorflow
Weakness CWE-131
Published November 18, 2022
Last update April 22, 2025

CVSS base score

4.8/10
Attack vector Network
Attack complexity High
Privileges required Low
User interaction Required
Confidentiality None
Integrity None

CVSS vector

CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H

What the vulnerability does

01Description

TensorFlow is an open source platform for machine learning. `tf.keras.losses.poisson` receives a `y_pred` and `y_true` that are passed through `functor::mul` in `BinaryOp`. If the resulting dimensions overflow an `int32`, TensorFlow will crash due to a size mismatch during broadcast assignment. We have patched the issue in GitHub commit c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1 and 2.9.3, as these are also affected and still in supported range. However, we will not cherrypick this commit into TensorFlow 2.8.x, as it depends on Eigen behavior that changed between 2.8 and 2.9.

Key dates

02Disclosure timeline

November 18, 2022 CVE published
April 22, 2025 Record updated