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nvd[email protected]NVD:CVE-2022-36022
HistoryNov 10, 2022 - 6:15 p.m.

CVE-2022-36022

2022-11-1018:15:10
CWE-344
CWE-330
web.nvd.nist.gov
deeplearning4j
jvm
s3 bucket
vulnerability
patched
nlp examples

5.3 Medium

CVSS3

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

LOW

Integrity Impact

NONE

Availability Impact

NONE

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N

0.001 Low

EPSS

Percentile

34.3%

Deeplearning4J is a suite of tools for deploying and training deep learning models using the JVM. Packages org.deeplearning4j:dl4j-examples and org.deeplearning4j:platform-tests through version 1.0.0-M2.1 may use some unclaimed S3 buckets in tests in examples. This is likely affect people who use some older NLP examples that reference an old S3 bucket. The problem has been patched. Users should upgrade to snapshots as Deeplearning4J plan to publish a release with the fix at a later date. As a workaround, download a word2vec google news vector from a new source using git lfs from here.

Affected configurations

NVD
Node
eclipsedeeplearning4jRange<1.0.0
OR
eclipsedeeplearning4jMatch1.0.0beta5
OR
eclipsedeeplearning4jMatch1.0.0beta6
OR
eclipsedeeplearning4jMatch1.0.0beta7
OR
eclipsedeeplearning4jMatch1.0.0milestone1
OR
eclipsedeeplearning4jMatch1.0.0milestone1.1
OR
eclipsedeeplearning4jMatch1.0.0milestone2

5.3 Medium

CVSS3

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

LOW

Integrity Impact

NONE

Availability Impact

NONE

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N

0.001 Low

EPSS

Percentile

34.3%

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