PyPi: Tensorflow-Rocm

CVE-2022-23564

Safety vulnerability ID: 57719

This vulnerability was reviewed by experts

The information on this page was manually curated by our Cybersecurity Intelligence Team.

Created at Feb 04, 2022 Updated at Nov 29, 2024

Scan your Python projects for vulnerabilities →

Advisory

Tensorflow-rocm versions 2.5.3, 2.6.3, 2.7.1 and 2.8.0 include a fix for CVE-2022-23564: When decoding a resource handle tensor from protobuf, a TensorFlow process can encounter cases where a 'CHECK' assertion is invalidated based on user controlled arguments. This allows attackers to cause denial of services in TensorFlow processes.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8rcj-c8pj-v3m3

Affected package

tensorflow-rocm

Latest version: 2.14.0.600

TensorFlow is an open source machine learning framework for everyone.

Affected versions

Fixed versions

Vulnerability changelog

This vulnerability has no description

Resources

Use this package?

Scan your Python project for dependency vulnerabilities in two minutes

Scan your application

Severity Details

CVSS Base Score

MEDIUM 6.5

CVSS v3 Details

MEDIUM 6.5

Attack Vector (AV): NETWORK
Attack Complexity (AC): LOW
Privileges Required (PR): LOW
User Interaction (UI): NONE
Scope (S): UNCHANGED
Confidentiality Impact (C): NONE
Integrity Impact (I): NONE
Availability Availability (A): HIGH

CVSS v2 Details

MEDIUM 4.0

Access Vector (AV): NETWORK
Access Complexity (AC): LOW
Authentication (Au): SINGLE
Confidentiality Impact (C): NONE
Integrity Impact (I): NONE
Availability Impact (A): PARTIAL