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CVE-2022-29204

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

Description (CNA)

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.

Affected (CNA)

Vendor / productVersions
tensorflow / tensorflowaffected < 2.6.4; affected >= 2.7.0rc0, < 2.7.2; affected >= 2.8.0rc0, < 2.8.1; affected >= 2.9.0rc0, < 2.9.0

CWE

CWE-191, CWE-20

References

ADP enrichment

CVE

No English description supplied.

CISA-ADP

No English description supplied.

No references supplied.