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CVE-2022-29201

Missing validation in `QuantizedConv2D` results in undefined behavior in TensorFlow

Medium5.5EPSS 0.34%
Published
Updated
Reserved
Assigned by
GitHub_M

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.QuantizedConv2D` does not fully validate the input arguments. In this case, references get bound to `nullptr` for each argument that is empty. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

Scores

CVSS scores of CVE-2022-29201, by who scored it
Scored byCVSSScoreVector
GitHub_MCNA (assigner)3.1Medium5.5CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
NVDNVD · Modified3.1Medium5.5CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
EPSS (exploitation in 30 days)
0.34% · top 72% of all CVEs (6 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: Medium 5.5.

Weakness

Affected products

  • tensorflow · tensorflow

    • affected < 2.6.4
    • affected >= 2.7.0rc0, < 2.7.2
    • affected >= 2.8.0rc0, < 2.8.1
    • affected >= 2.9.0rc0, < 2.9.0

Affected packages

From reviewed advisories of the GitHub Advisory Database.

References (7)

Sources

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

Badge for a README or a ticket

CVE-2022-29201 badge
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Record last updated .