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nvd[email protected]NVD:CVE-2022-35981
HistorySep 16, 2022 - 10:15 p.m.

CVE-2022-35981

2022-09-1622:15:11
CWE-617
web.nvd.nist.gov
5
tensorflow
input validation
vulnerability
patched
versions 2.10.0
2.9.1
2.8.1
2.7.2

CVSS3

7.5

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

HIGH

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

EPSS

0.001

Percentile

35.2%

TensorFlow is an open source platform for machine learning. FractionalMaxPoolGrad validates its inputs with CHECK failures instead of with returning errors. If it gets incorrectly sized inputs, the CHECK failure can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 8741e57d163a079db05a7107a7609af70931def4. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

Affected configurations

Nvd
Node
googletensorflowRange<2.7.2
OR
googletensorflowRange2.8.02.8.1
OR
googletensorflowRange2.9.02.9.1
OR
googletensorflowMatch2.10rc0
OR
googletensorflowMatch2.10rc1
OR
googletensorflowMatch2.10rc2
OR
googletensorflowMatch2.10rc3
VendorProductVersionCPE
googletensorflow*cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
googletensorflow2.10cpe:2.3:a:google:tensorflow:2.10:rc0:*:*:*:*:*:*
googletensorflow2.10cpe:2.3:a:google:tensorflow:2.10:rc1:*:*:*:*:*:*
googletensorflow2.10cpe:2.3:a:google:tensorflow:2.10:rc2:*:*:*:*:*:*
googletensorflow2.10cpe:2.3:a:google:tensorflow:2.10:rc3:*:*:*:*:*:*

CVSS3

7.5

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

HIGH

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

EPSS

0.001

Percentile

35.2%

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