CVE-2021-29517

LOW

TensorFlow < 2.1.4 - Denial of Service via Conv3D Modulo Operation

Title source: llm
STIX 2.1

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.

References (2)

Core 2
Core References
Exploit, Patch, Third Party Advisory x_refsource_confirm
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-772p-x54p-hjrv

Scores

CVSS v3 2.5
EPSS 0.0019
EPSS Percentile 8.7%
Attack Vector LOCAL
CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L

Details

CWE
CWE-369
Status published
Products (4)
google/tensorflow < 2.1.4
pypi/tensorflow 0 - 2.1.4PyPI
pypi/tensorflow-cpu 0 - 2.1.4PyPI
pypi/tensorflow-gpu 0 - 2.1.4PyPI
Published May 14, 2021
Tracked Since Feb 18, 2026