QwikSec

Security Database

CVE

CWE

Training

CVE-2022-41887

Published: Nov 18, 2022

Modified: Apr 22, 2025

PUBLISHED

CVSS v3.1

4.8

MEDIUM

Description

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.

Vendor	Product	Versions
tensorflow	tensorflow	affected `>= 2.10.0, < 2.10.1` affected `< 2.9.3`

Weaknesses (CWE)

CVSS v3.1 Details

CVSS v3.1 Vector

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

Attack Vector

Network

Attack Complexity

High

Privileges Required

Low

User Interaction

Required

Scope

Unchanged

Confidentiality

None

Integrity

None

Availability

High

References

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8fvv-46hw-vpg3

https://github.com/tensorflow/tensorflow/commit/c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c

https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/cwise_ops_common.h

https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/keras/losses.py

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