PyPi: Tensorflow-Rocm

CVE-2022-23568

Safety vulnerability ID: 57691

This vulnerability was reviewed by experts

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

Created at Feb 03, 2022 Updated at Nov 29, 2024
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Advisory

Tensorflow-rocm versions 2.5.3, 2.6.3, 2.7.1 and 2.8.0 include a fix for CVE-2022-23568: The implementation of 'AddManySparseToTensorsMap' is vulnerable to an integer overflow which results in a 'CHECK'-fail when building new 'TensorShape' objects (so, an assert failure based denial of service). There are missing some validation on the shapes of the input tensors as well as directly constructing a large 'TensorShape' with user-provided dimensions.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-6445-fm66-fvq2

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

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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