PyPi: Tensorflow-Rocm

CVE-2021-41214

Safety vulnerability ID: 57758

This vulnerability was reviewed by experts

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

Created at Nov 05, 2021 Updated at Nov 29, 2024

Scan your Python projects for vulnerabilities →

Advisory

Tensorflow-rocm versions 2.4.4, 2.5.2 and 2.6.1 include a fix for CVE-2021-41214: In affected versions, the shape inference code for 'tf.ragged.cross' has an undefined behavior due to binding a reference to 'nullptr'. The fix is included in TensorFlow 2.7.0.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-vwhq-49r4-gj9v
https://github.com/tensorflow/tensorflow/commit/fa6b7782fbb14aa08d767bc799c531f5e1fb3bb8

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

HIGH 7.8

CVSS v3 Details

HIGH 7.8

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

CVSS v2 Details

MEDIUM 4.6

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