PyPi: Tensorflow-Rocm

CVE-2022-21726

Safety vulnerability ID: 57740

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-2022-21726: The implementation of 'Dequantize' does not fully validate the value of 'axis' and can result in heap OOB accesses. The 'axis' argument can be '-1' (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked and this results in reading past the end of the array containing the dimensions of the input tensor.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-23hm-7w47-xw72

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

HIGH 8.8

CVSS v3 Details

HIGH 8.8
Attack Vector (AV)
NETWORK
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 6.5
Access Vector (AV)
NETWORK
Access Complexity (AC)
LOW
Authentication (Au)
SINGLE
Confidentiality Impact (C)
PARTIAL
Integrity Impact (I)
PARTIAL
Availability Impact (A)
PARTIAL