CVE-2021-29517
CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
Summary
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 Software
| Vendor | Product | Version Range | Status |
|---|---|---|---|
| tensorflow | tensorflow | < 2.1.4 | affected |
| tensorflow | tensorflow | >= 2.2.0, < 2.2.3 | affected |
| tensorflow | tensorflow | >= 2.3.0, < 2.3.3 | affected |
| tensorflow | tensorflow | >= 2.4.0, < 2.4.2 | affected |
Weaknesses
- CWE-369: CWE-369: Divide By Zero
ADP Enrichment
CVE Program Container
Additional References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-772p-x54p-hjrv
- https://github.com/tensorflow/tensorflow/commit/799f835a3dfa00a4d852defa29b15841eea9d64f
References
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-772p-x54p-hjrv
- https://github.com/tensorflow/tensorflow/commit/799f835a3dfa00a4d852defa29b15841eea9d64f
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