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nvd[email protected]NVD:CVE-2022-35989
HistorySep 16, 2022 - 10:15 p.m.

CVE-2022-35989

2022-09-1622:15:11
CWE-617
web.nvd.nist.gov
1
tensorflow
denial of service
vulnerability
github commit
patch
gpu kernel
machine learning
tensorflow 2.10.0

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 MaxPool receives a window size input array ksize with dimensions greater than its input tensor input, the GPU kernel gives a CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 32d7bd3defd134f21a4e344c8dfd40099aaf6b18. 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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