TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a division by zero to occur in `Conv2DBackpropFilter`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/1b0296c3b8dd9bd948f924aa8cd62f87dbb7c3da/tensorflow/core/kernels/conv_grad_filter_ops.cc#L513-L522) computes a divisor based on user provided data (i.e., the shape of the tensors given as arguments). If all shapes are empty then `work_unit_size` is 0. Since there is no check for this case before division, this results in a runtime exception, with potential to be abused for a denial of service. 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: 2021-05-14T19:11:36
Updated: 2024-08-03T22:11:05.489Z
Reserved: 2021-03-30T00:00:00
Link: CVE-2021-29538
Vulnrichment
No data.
NVD
Status : Modified
Published: 2021-05-14T20:15:12.353
Modified: 2024-11-21T06:01:20.180
Link: CVE-2021-29538
Redhat
No data.