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CVE-2022-21728

Out of bounds read in Tensorflow

High8.1EPSS 1.1%
Published
Updated
Reserved
Assigned by
GitHub_M

Description

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `ReverseSequence` does not fully validate the value of `batch_dim` and can result in a heap OOB read. There is a check to make sure the value of `batch_dim` does not go over the rank of the input, but there is no check for negative values. Negative dimensions are allowed in some cases to mimic Python's negative indexing (i.e., indexing from the end of the array), however if the value is too negative then the implementation of `Dim` would access elements before the start of an array. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Scores

CVSS scores of CVE-2022-21728, by who scored it
Scored byCVSSScoreVector
GitHub_MCNA (assigner)3.1High8.1CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
NVDNVD · Modified3.1High8.1CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H
EPSS (exploitation in 30 days)
1.1% · top 33% of all CVEs (7 Nov 2026)
CISA SSVC
Exploitation: poc · Automatable: no · Technical impact: partial
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The list uses the assigner's score when there is one, then CISA's, then NVD's: High 8.1.

Weakness

Affected products

  • n/a

    • affected n/a

Affected packages

From reviewed advisories of the GitHub Advisory Database.

References (4)

Sources

The same CVE in the primary databases and aggregators, to check against.

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Record last updated .