CVE-2022-36022

2022-11-1018:15:10

CWE-344

CWE-330

[email protected]

web.nvd.nist.gov

cve-2022-36022

deeplearning4j

jvm

security patch

s3 bucket

nlp examples

word2vec

git lfs

vulnerability update

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%

JSON

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

Vulners

NVD

Node

eclipsedeeplearning4jRange≤1.0.0-M2.1

VendorProductVersionCPE
eclipsedeeplearning4j*cpe:2.3:a:eclipse:deeplearning4j:*:*:*:*:*:*:*:*

Vendor	Product	Version	CPE
eclipse	deeplearning4j	*	cpe:2.3:a:eclipse:deeplearning4j::::::::

CNA Affected

[
  {
    "vendor": "eclipse",
    "product": "deeplearning4j",
    "versions": [
      {
        "version": "<= 1.0.0-M2.1",
        "status": "affected"
      }
    ]
  }
]