CVE-2021-29522

Division by 0 in `Conv3DBackprop*`

State
Published
Severity
2.5 Low
Published
May 14, 2021
Updated
Aug 3, 2024
Reserved
Mar 30, 2021

Read the record on cve.org

Description

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.

Scores

CVSSScoreVectorSource
3.12.5 LowCVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:LGitHub_M

Weaknesses

Affected Products

ProductVersions
tensorflowtensorflow
  • < 2.1.4Affected
  • >= 2.2.0, < 2.2.3Affected
  • >= 2.3.0, < 2.3.3Affected
  • >= 2.4.0, < 2.4.2Affected

References

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