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nvd[email protected]NVD:CVE-2022-35959
HistorySep 16, 2022 - 8:15 p.m.

CVE-2022-35959

2022-09-1620:15:10
CWE-617
web.nvd.nist.gov
6
tensorflow
input validation
denial of service

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. The implementation of AvgPool3DGradOp does not fully validate the input orig_input_shape. This results in an overflow that results in a CHECK failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 9178ac9d6389bdc54638ab913ea0e419234d14eb. 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
googletensorflowRange2.7.02.7.2
OR
googletensorflowMatch2.8.0
OR
googletensorflowMatch2.9.0
OR
googletensorflowMatch2.10rc0
OR
googletensorflowMatch2.10rc1
OR
googletensorflowMatch2.10rc2
OR
googletensorflowMatch2.10rc3

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%