MEDIUM · 5.3

CVE-2022-36022

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-...

Vulnerability Description

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.

CVSS Score

5.3

MEDIUM

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality
NONE
Integrity
LOW
Availability
NONE

Affected Products

VendorProductVersions
EclipseDeeplearning4J< 1.0.0

Related Weaknesses (CWE)

References

FAQ

What is CVE-2022-36022?

CVE-2022-36022 is a vulnerability with a CVSS score of 5.3 (MEDIUM). 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-...

How severe is CVE-2022-36022?

CVE-2022-36022 has been rated MEDIUM with a CVSS base score of 5.3/10. Review the CVSS metrics above for detailed severity breakdown.

Is there a patch for CVE-2022-36022?

Check the references section above for vendor advisories and patch information. Affected products include: Eclipse Deeplearning4J.