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GoogleOSV:BIT-TENSORFLOW-2020-26266

HistoryMar 06, 2024 - 11:20 a.m.

BIT-tensorflow-2020-26266

2024-03-0611:20:18

Google

osv.dev

tensorflow

uninitialized values

saved model

code execution

quantized floating point

eigen

software vulnerability

version update

CVSS2

4.6

Attack Vector

LOCAL

Attack Complexity

LOW

Authentication

NONE

Confidentiality Impact

PARTIAL

Integrity Impact

PARTIAL

Availability Impact

PARTIAL

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

CVSS3

5.3

Attack Vector

LOCAL

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

LOW

Integrity Impact

LOW

Availability Impact

LOW

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

AI Score

6.8

Confidence

Low

EPSS

0.001

Percentile

38.5%

JSON

In affected versions of TensorFlow under certain cases a saved model can trigger use of uninitialized values during code execution. This is caused by having tensor buffers be filled with the default value of the type but forgetting to default initialize the quantized floating point types in Eigen. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.