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
Link | Resource |
---|---|
https://github.com/tensorflow/tensorflow/commit/799f835a3dfa00a4d852defa29b15841eea9d64f | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-772p-x54p-hjrv | Exploit Patch Third Party Advisory |
History
No history.
MITRE Information
Status: PUBLISHED
Assigner: GitHub_M
Published: 2021-05-14T19:36:11
Updated: 2021-05-14T19:36:11
Reserved: 2021-03-30T00:00:00
Link: CVE-2021-29517
JSON object: View
NVD Information
Status : Analyzed
Published: 2021-05-14T20:15:11.390
Modified: 2021-05-20T16:27:02.247
Link: CVE-2021-29517
JSON object: View
Redhat Information
No data.
CWE