CVE-2020-15210

Severity CVSS v4.0:

Pending analysis

Type:

CWE-787 Out-of-bounds Write

Publication date:

25/09/2020

Last modified:

18/11/2021

Description

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b and will release patch releases for all versions between 1.15 and 2.3. We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

Impact

Vector 3.x

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

Base Score: 6.50 MEDIUM
Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:H

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

Base Score 3.x

6.50

Severity 3.x

MEDIUM

Vector 2.0

AV:N/AC:M/Au:N/C:N/I:P/A:P CVSS v2.0 Severity and Metrics:

Base Score: 5.80 MEDIUM
Vector: AV:N/AC:M/Au:N/C:N/I:P/A:P

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

Base Score 2.0

5.80

Severity 2.0

MEDIUM

Vulnerable products and versions

CPE	From	Up to
cpe:2.3:a:google:tensorflow:::::lite:::*		1.15.4 (excluding)
cpe:2.3:a:google:tensorflow:::::lite:::*	2.0.0 (including)	2.0.3 (excluding)
cpe:2.3:a:google:tensorflow:::::lite:::*	2.1.0 (including)	2.1.2 (excluding)
cpe:2.3:a:google:tensorflow:::::lite:::*	2.2.0 (including)	2.2.1 (excluding)
cpe:2.3:a:google:tensorflow:::::lite:::*	2.3.0 (including)	2.3.1 (excluding)
cpe:2.3:o:opensuse:leap:15.2:::::::*

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

CVE-2020-15210

Description

Impact

Vulnerable products and versions

References to Advisories, Solutions, and Tools