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nvd[email protected]NVD:CVE-2022-35988
HistorySep 16, 2022 - 10:15 p.m.

CVE-2022-35988

2022-09-1622:15:11
CWE-617
web.nvd.nist.gov
4
tensorflow
machine learning
vulnerability
denial of service
patch
github commit
tensorflow 2.10.0
cherrypick
tensorflow 2.9.1
tensorflow 2.8.1

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 tf.linalg.matrix_rank receives an empty input a, 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 c55b476aa0e0bd4ee99d0f3ad18d9d706cd1260a. 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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