CVE-2021-29517
MEDIUMTensorFlow is an end-to-end open source platform for machine learning. A malicious user could trigger a division by 0 in `Conv3D` implementation. The...
Full analysis pending. Showing NVD description excerpt.
Affected Systems
| Package | Ecosystem | Vulnerable Range | Patched |
|---|---|---|---|
| tensorflow | pip | — | No patch |
| tensorflow | pip | — | No patch |
| tensorflow | pip | — | No patch |
| tensorflow | pip | — | No patch |
Severity & Risk
Recommended Action
No patch available
Monitor for updates. Consider compensating controls or temporary mitigations.
Compliance Impact
Compliance analysis pending. Sign in for full compliance mapping when available.
Technical Details
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.
Weaknesses (CWE)
CVSS Vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H References
- github.com/tensorflow/tensorflow/commit/799f835a3dfa00a4d852defa29b15841eea9d64f Patch 3rd Party
- github.com/tensorflow/tensorflow/security/advisories/GHSA-772p-x54p-hjrv Exploit Patch 3rd Party
- github.com/tensorflow/tensorflow/commit/799f835a3dfa00a4d852defa29b15841eea9d64f Patch 3rd Party
- github.com/tensorflow/tensorflow/security/advisories/GHSA-772p-x54p-hjrv Exploit Patch 3rd Party