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CVE-2022-29207

Undefined behavior when users supply invalid resource handles in TensorFlow

Medium5.5EPSS 0.33%
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, multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid. In graph mode, it would have been impossible to perform these API calls, but migration to TF 2.x eager mode opened up this vulnerability. If the resource handle is empty, then a reference is bound to a null pointer inside TensorFlow codebase (various codepaths). This is undefined behavior. 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-2022-29207, 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)
0.33% · top 74% of all CVEs (6 Nov 2026)
CISA SSVC
Exploitation: poc · Automatable: no · Technical impact: partial
Loading the EPSS history…

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.

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Record last updated .