Riskcovery

CVE-2022-29204

Missing validation causes denial of service in TensorFlow via `Conv3DBackpropFilterV2`

State
Published
Severity
5.5 Medium
Published
May 20, 2022
Updated
Apr 22, 2025
Reserved
Apr 13, 2022

Read the record on cve.org

Description

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.UnsortedSegmentJoin` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code assumes `num_segments` is a positive scalar but there is no validation. Since this value is used to allocate the output tensor, a negative value would result in a `CHECK`-failure (assertion failure), as per TFSA-2021-198. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

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-191 Integer Underflow (Wrap or Wraparound)
  • CWE-20 Improper Input Validation

Affected Products

ProductVersions
tensorflowtensorflow
  • < 2.6.4Affected
  • >= 2.7.0rc0, < 2.7.2Affected
  • >= 2.8.0rc0, < 2.8.1Affected
  • >= 2.9.0rc0, < 2.9.0Affected

References

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