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nvd[email protected]NVD:CVE-2022-35993
HistorySep 16, 2022 - 11:15 p.m.

CVE-2022-35993

2022-09-1623:15:10
CWE-617
web.nvd.nist.gov
2
tensorflow
machine learning
vulnerability

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. When SetSize receives an input set_shape that is not a 1D tensor, it gives a CHECK fails that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit cf70b79d2662c0d3c6af74583641e345fc939467. 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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