CVE-2020-26266

Published Dec 10, 2020

Last updated 4 years ago

Overview

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.
Source
security-advisories@github.com
NVD status
Analyzed

Risk scores

CVSS 3.1

Type
Primary
Base score
5.3
Impact score
3.4
Exploitability score
1.8
Vector string
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L
Severity
MEDIUM

CVSS 2.0

Type
Primary
Base score
4.6
Impact score
6.4
Exploitability score
3.9
Vector string
AV:L/AC:L/Au:N/C:P/I:P/A:P

Weaknesses

nvd@nist.gov
CWE-908
security-advisories@github.com
CWE-908

Social media

Hype score
Not currently trending

Configurations