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.
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References
History
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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
Vulnrichment
No data.
NVD
Status : Modified
Published: 2021-05-14T20:15:11.617
Modified: 2024-11-21T06:01:18.193
Link: CVE-2021-29522
Redhat
No data.