CVE Vulnerabilities

CVE-2021-29573

Divide By Zero

Published: May 14, 2021 | Modified: May 20, 2021
CVSS 3.x
5.5
MEDIUM
Source:
NVD
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
CVSS 2.x
2.1 LOW
AV:L/AC:L/Au:N/C:N/I:N/A:P
RedHat/V2
RedHat/V3
Ubuntu

TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.raw_ops.MaxPoolGradWithArgmax is vulnerable to a division by 0. The implementation(https://github.com/tensorflow/tensorflow/blob/279bab6efa22752a2827621b7edb56a730233bd8/tensorflow/core/kernels/maxpooling_op.cc#L1033-L1034) fails to validate that the batch dimension of the tensor is non-zero, before dividing by this quantity. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

Weakness

The product divides a value by zero.

Affected Software

Name Vendor Start Version End Version
Tensorflow Google * 2.1.4 (excluding)
Tensorflow Google 2.2.0 (including) 2.2.3 (excluding)
Tensorflow Google 2.3.0 (including) 2.3.3 (excluding)
Tensorflow Google 2.4.0 (including) 2.4.2 (excluding)

References