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nvd[email protected]NVD:CVE-2021-37640
HistoryAug 12, 2021 - 6:15 p.m.

CVE-2021-37640

2021-08-1218:15:10
CWE-369
web.nvd.nist.gov
5
tensorflow
sparsereshape
implementation
division by 0
exception
github
patch
commit
cherrypick
tensorflow 2.6.0
tensorflow 2.5.1

CVSS2

2.1

Attack Vector

LOCAL

Attack Complexity

LOW

Authentication

NONE

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

PARTIAL

AV:L/AC:L/Au:N/C:N/I:N/A:P

CVSS3

5.5

Attack Vector

LOCAL

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

HIGH

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

EPSS

0

Percentile

12.6%

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of tf.raw_ops.SparseReshape can be made to trigger an integral division by 0 exception. The implementation calls the reshaping functor whenever there is at least an index in the input but does not check that shape of the input or the target shape have both a non-zero number of elements. The reshape functor blindly divides by the dimensions of the target shape. Hence, if this is not checked, code will result in a division by 0. We have patched the issue in GitHub commit 4923de56ec94fff7770df259ab7f2288a74feb41. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1 as this is the other affected version.

Affected configurations

Nvd
Node
googletensorflowRange2.3.02.3.4
OR
googletensorflowRange2.4.02.4.3
OR
googletensorflowMatch2.5.0
OR
googletensorflowMatch2.6.0rc0
OR
googletensorflowMatch2.6.0rc1
OR
googletensorflowMatch2.6.0rc2
VendorProductVersionCPE
googletensorflow*cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
googletensorflow2.5.0cpe:2.3:a:google:tensorflow:2.5.0:*:*:*:*:*:*:*
googletensorflow2.6.0cpe:2.3:a:google:tensorflow:2.6.0:rc0:*:*:*:*:*:*
googletensorflow2.6.0cpe:2.3:a:google:tensorflow:2.6.0:rc1:*:*:*:*:*:*
googletensorflow2.6.0cpe:2.3:a:google:tensorflow:2.6.0:rc2:*:*:*:*:*:*

CVSS2

2.1

Attack Vector

LOCAL

Attack Complexity

LOW

Authentication

NONE

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

PARTIAL

AV:L/AC:L/Au:N/C:N/I:N/A:P

CVSS3

5.5

Attack Vector

LOCAL

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

HIGH

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

EPSS

0

Percentile

12.6%