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cve[email protected]CVE-2021-41197
HistoryNov 05, 2021 - 8:15 p.m.

CVE-2021-41197

2021-11-0520:15:00
CWE-190
web.nvd.nist.gov
54
tensorflow
machine learning
cve-2021-41197
int64_t
overflow
nvd
security bug
update
tensorflow 2.7.0
tensorflow 2.6.1
tensorflow 2.5.2
tensorflow 2.4.4

5.5 Medium

CVSS3

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

5.5 Medium

AI Score

Confidence

High

2.1 Low

CVSS2

Access Vector

LOCAL

Access 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

0.001 Low

EPSS

Percentile

40.1%

TensorFlow is an open source platform for machine learning. In affected versions TensorFlow allows tensor to have a large number of dimensions and each dimension can be as large as desired. However, the total number of elements in a tensor must fit within an int64_t. If an overflow occurs, MultiplyWithoutOverflow would return a negative result. In the majority of TensorFlow codebase this then results in a CHECK-failure. Newer constructs exist which return a Status instead of crashing the binary. This is similar to CVE-2021-29584. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

VendorProductVersionCPE
tensorflowtensorflow*cpe:2.3:a:tensorflow:tensorflow:*:*:*:*:*:*:*:*
tensorflowtensorflow*cpe:2.3:a:tensorflow:tensorflow:*:*:*:*:*:*:*:*
tensorflowtensorflow*cpe:2.3:a:tensorflow:tensorflow:*:*:*:*:*:*:*:*

5.5 Medium

CVSS3

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

5.5 Medium

AI Score

Confidence

High

2.1 Low

CVSS2

Access Vector

LOCAL

Access 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

0.001 Low

EPSS

Percentile

40.1%

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