CVE-2021-29517

low-risk
Published 2021-05-14

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.

Do I need to act?

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0.01% chance of exploitation
EPSS score — low exploit probability
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Not on CISA KEV list
No confirmed active exploitation reported to CISA
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Patch status unknown
Check vendor advisories for fix availability and mitigation guidance
2
CVSS 2.5/10 Low
LOCAL / HIGH complexity

Affected Products (1)

Affected Vendors

Google

References (4)

Patch https://github.com/tensorflow/tensorflow/commit/799f835a3dfa00a4d852defa29b15841...
Exploit https://github.com/tensorflow/tensorflow/security/advisories/GHSA-772p-x54p-hjrv
Patch https://github.com/tensorflow/tensorflow/commit/799f835a3dfa00a4d852defa29b15841...
Exploit https://github.com/tensorflow/tensorflow/security/advisories/GHSA-772p-x54p-hjrv
11
/ 100
low-risk
Severity 6/34 · Minimal
Exploitability 0/34 · Minimal
Exposure 5/34 · Minimal