Instituto Nacional de ciberseguridad. Sección Incibe
Instituto Nacional de Ciberseguridad. Sección INCIBE-CERT

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CVE-2020-26266

Severity CVSS v4.0:
Pending analysis
Type:
Unavailable / Other
Publication date:
10/12/2020
Last modified:
14/12/2020

Description

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.

Impact

Vector 3.x
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L CVSS v3.1 Severity and Metrics:

Base Score: 5.30 MEDIUM
Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L

Attack Vector (AV): Local
Attack Complexity (AC): Low
Privileges Required (PR): Low
User Interaction (UI): None
Scope (S): Unchanged
Confidentiality (C): Low
Integrity (I): Low
Availability (A): Low

Base Score 3.x
5.30
Severity 3.x
MEDIUM
Vector 2.0
AV:L/AC:L/Au:N/C:P/I:P/A:P CVSS v2.0 Severity and Metrics:

Base Score: 4.60 MEDIUM
Vector: AV:L/AC:L/Au:N/C:P/I:P/A:P

Attack Vector (AV): Local
Attack Complexity (AC): Low
Authentication (Au): None
Confidentiality (C): Physical
Integrity (I): Physical
Availability (A): Physical

Base Score 2.0
4.60
Severity 2.0
MEDIUM

Vulnerable products and versions

CPE From Up to
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* 1.15.5 (excluding)
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* 2.0.0 (including) 2.0.4 (excluding)
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* 2.1.0 (including) 2.1.3 (excluding)
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* 2.2.0 (including) 2.2.2 (excluding)
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* 2.3.0 (including) 2.3.2 (excluding)

To consult the complete list of CPE names with products and versions, see this page


References to Advisories, Solutions, and Tools