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CVE-2021-29517

nvd nist
Published: May 14, 2021Modified: Jun 17, 2026

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5.5
Vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Exploitability: 1.8 / Impact: 3.6
Source: NVD

Description

TensorFlow is an end-to-end open source platform for machine learning. A malicious user could trigger a division by 0 in `Conv3D` implementation. The implementation(https://github.com/tensorflow/tensorflow/blob/42033603003965bffac51ae171b51801565e002d/tensorflow/core/kernels/conv_ops_3d.cc#L143-L145) does a modulo operation based on user controlled input. Thus, when `filter` has a 0 as the fifth element, this results in a division by 0. Additionally, if the shape of the two tensors is not valid, an Eigen assertion can be triggered, resulting in a program crash. 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.

Affected (4)

Products: Google: Tensorflow
1 product
Tensorflow
Configuration A
4 vulnerable
Vulnerable SoftwareAffected Versions
Google
Before 2.1.4
From 2.2.0 to 2.2.3
From 2.3.0 to 2.3.3
From 2.4.0 to 2.4.2

References (4)

Source: security-advisories@github.com
PatchThird Party Advisory
Source: security-advisories@github.com
ExploitPatchThird Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
PatchThird Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
ExploitPatchThird Party Advisory

Timeline

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