CVE-2021-37674

Incomplete validation in `MaxPoolGrad` in TensorFlow

State
Published
Severity
5.5 Medium
Published
Aug 12, 2021
Updated
Aug 4, 2024
Reserved
Jul 29, 2021

Read the record on cve.org

Description

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a segmentation fault in `tf.raw_ops.MaxPoolGrad` caused by missing validation. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/maxpooling_op.cc) misses some validation for the `orig_input` and `orig_output` tensors. The fixes for CVE-2021-29579 were incomplete. We have patched the issue in GitHub commit 136b51f10903e044308cf77117c0ed9871350475. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Scores

CVSSScoreVectorSource
3.15.5 MediumCVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:HGitHub_M

Weaknesses

  • CWE-20 Improper Input Validation

Affected Products

ProductVersions
tensorflowtensorflow
  • >= 2.5.0, < 2.5.1Affected
  • >= 2.4.0, < 2.4.3Affected
  • < 2.3.4Affected

References

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