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-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.

Data is provided by the National Vulnerability Database (NVD)
Eclipse ≫ Deeplearning4j Version < 1.0.0
Eclipse ≫ Deeplearning4j Version1.0.0 Updatebeta5
Eclipse ≫ Deeplearning4j Version1.0.0 Updatebeta6
Eclipse ≫ Deeplearning4j Version1.0.0 Updatebeta7
Eclipse ≫ Deeplearning4j Version1.0.0 Updatemilestone1
Eclipse ≫ Deeplearning4j Version1.0.0 Updatemilestone1.1
Eclipse ≫ Deeplearning4j Version1.0.0 Updatemilestone2
Zu dieser CVE wurde keine CISA KEV oder CERT.AT-Warnung gefunden.
EPSS Metriken
Type Source Score Percentile
EPSS FIRST.org 0.11% 0.299
CVSS Metriken
Source Base Score Exploit Score Impact Score Vector string
nvd@nist.gov 5.3 3.9 1.4
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
security-advisories@github.com 5.3 3.9 1.4
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N
CWE-330 Use of Insufficiently Random Values

The product uses insufficiently random numbers or values in a security context that depends on unpredictable numbers.

CWE-344 Use of Invariant Value in Dynamically Changing Context

The product uses a constant value, name, or reference, but this value can (or should) vary across different environments.