CVE-2021-41203

Published Nov 5, 2021

Last updated 2 years ago

Overview

Description
TensorFlow is an open source platform for machine learning. In affected versions an attacker can trigger undefined behavior, integer overflows, segfaults and `CHECK`-fail crashes if they can change saved checkpoints from outside of TensorFlow. This is because the checkpoints loading infrastructure is missing validation for invalid file formats. The fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Source
security-advisories@github.com
NVD status
Analyzed

Risk scores

CVSS 3.1

Type
Primary
Base score
7.8
Impact score
5.9
Exploitability score
1.8
Vector string
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Severity
HIGH

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-190
security-advisories@github.com
CWE-345

Social media

Hype score
Not currently trending

Configurations