PyPi: Tensorflow-Gpu

CVE-2021-41225

Safety vulnerability ID: 56118

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

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Advisory

Tensorflow-gpu versions 2.4.4, 2.5.2 and 2.6.1 include a fix for CVE-2021-41225: In affected versions, TensorFlow's Grappler optimizer has a use of unitialized variable. If the 'train_nodes' vector (obtained from the saved model that gets optimized) does not contain a 'Dequeue' node, then 'dequeue_node' is left unitialized. The fix is also included in TensorFlow 2.7.0.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7r94-xv9v-63jw
https://github.com/tensorflow/tensorflow/commit/68867bf01239d9e1048f98cbad185bf4761bedd3

Affected package

tensorflow-gpu

Latest version: 2.12.0

Removed: please install "tensorflow" instead.

Affected versions

Fixed versions

Vulnerability changelog

This vulnerability has no description

Resources

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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

LOW 2.1

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