PyPi: Tensorflow-Rocm

CVE-2022-21733

Safety vulnerability ID: 57720

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-2022-21733: The implementation of 'StringNGrams' can be used to trigger a denial of service attack by causing an out of memory condition after an integer overflow. There is missing a validation on 'pad_witdh' and that result in computing a negative value for 'ngram_width' which is later used to allocate parts of the output.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-98j8-c9q4-r38g

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 5.0
Access Vector (AV)
NETWORK
Access Complexity (AC)
LOW
Authentication (Au)
NONE
Confidentiality Impact (C)
NONE
Integrity Impact (I)
NONE
Availability Impact (A)
PARTIAL