TensorFlow is an end-to-end open source platform for machine learning. The `tf.raw_ops.Conv3DBackprop*` operations fail to validate that the input tensors are not empty. In turn, this would result in a division by 0. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/a91bb59769f19146d5a0c20060244378e878f140/tensorflow/core/kernels/conv_grad_ops_3d.cc#L430-L450) does not check that the divisor used in computing the shard size is not zero. Thus, if attacker controls the input sizes, they can trigger a denial of service via a division by zero error. 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.
History

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cve-icon MITRE

Status: PUBLISHED

Assigner: GitHub_M

Published: 2021-05-14T19:35:44

Updated: 2024-08-03T22:11:05.710Z

Reserved: 2021-03-30T00:00:00

Link: CVE-2021-29522

cve-icon Vulnrichment

No data.

cve-icon NVD

Status : Analyzed

Published: 2021-05-14T20:15:11.617

Modified: 2021-05-20T17:16:12.000

Link: CVE-2021-29522

cve-icon Redhat

No data.