CVE Vulnerability

CVE-2020-15210

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.

5.8 /10

CVSS v2.0 :

V3 Legend

Vector :

Exploitability : 8.6 / Impact : 4.9

Attack Vector

Attack Complexity

Privileges Required

User Interaction

Confidentiality Impact NONE

Integrity Impact PARTIAL

Availability Impact PARTIAL

Scope

6.5 /10

CVSS v3.0 : MEDIUM

V3 Legend

Vector :

Exploitability : 2.2 / Impact : 4.2

Attack Vector NETWORK

Attack Complexity HIGH

Privileges Required NONE

User Interaction NONE

Confidentiality Impact NONE

Integrity Impact LOW

Availability Impact HIGH

Scope UNCHANGED

References
Link Resource
https://github.com/tensorflow/tensorflow/commit/d58c96946b2880991d63d1dacacb32f0a4dfa453 Patch Third Party Advisory
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x9j7-x98r-r4w2 Exploit Third Party Advisory
https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1 Third Party Advisory
http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html Mailing List Third Party Advisory
Configurations

Configuration 1

cpe:2.3:a:google:tensorflow:*:*:*:*:lite:*:*:*
cpe:2.3:a:google:tensorflow:*:*:*:*:lite:*:*:*
cpe:2.3:a:google:tensorflow:*:*:*:*:lite:*:*:*
cpe:2.3:a:google:tensorflow:*:*:*:*:lite:*:*:*
cpe:2.3:a:google:tensorflow:*:*:*:*:lite:*:*:*
cpe:2.3:o:opensuse:leap:15.2:*:*:*:*:*:*:*
Information

Published : 2020-09-25 07:15

Updated : 2021-11-18 05:27

NVD link : CVE-2020-15210

Mitre link : CVE-2020-15210

Products Affected
No products.
CWE
CWE-787