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nvd[email protected]NVD:CVE-2022-35985
HistorySep 16, 2022 - 10:15 p.m.

CVE-2022-35985

2022-09-1622:15:11
CWE-617
web.nvd.nist.gov
4
tensorflow
lrngrad
output_image
denial of service
github
patch
2.10.0
cherrypick
commit
2.9.1
2.8.1
2.7.2
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. If LRNGrad is given an output_image input tensor that is not 4-D, it results in a CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bd90b3efab4ec958b228cd7cfe9125be1c0cf255. 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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