PyPi: Tensorflow-Rocm

CVE-2021-41205

Safety vulnerability ID: 57757

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-2021-41205: In affected versions, the shape inference functions for the 'QuantizeAndDequantizeV*' operations can trigger a read outside of bounds of heap allocated array. The fix is included in TensorFlow 2.7.0.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-49rx-x2rw-pc6f
https://github.com/tensorflow/tensorflow/commit/7cf73a2274732c9d82af51c2bc2cf90d13cd7e6d

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 7.1

CVSS v3 Details

HIGH 7.1

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): NONE
Availability Availability (A): HIGH

CVSS v2 Details

LOW 3.6

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