CVE-2022-29207

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.
ProviderTypeBase ScoreAtk. VectorAtk. ComplexityPriv. RequiredVector
NISTNIST
5.5 MEDIUM
LOCAL
LOW
LOW
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
GitHub_MCNA
5.5 MEDIUM
LOCAL
LOW
LOW
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
CVEADP
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CISA-ADPADP
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Base Score
CVSS 3.x
EPSS Score
Percentile: 32%
VendorProductVersion
googletensorflow
𝑥
< 2.6.4
googletensorflow
2.7.0 ≤
𝑥
< 2.7.2
googletensorflow
2.7.0:rc0
googletensorflow
2.7.0:rc1
googletensorflow
2.8.0
googletensorflow
2.8.0:rc0
googletensorflow
2.8.0:rc1
googletensorflow
2.9.0:rc0
googletensorflow
2.9.0:rc1
𝑥
= Vulnerable software versions