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.

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.

### Impact People who use some older NLP examples that reference the old S3 bucket. ### Patches The problem has been patched. Upgrade to snapshots for now. A release will be published later to address this due to the vulnerability mostly being examples and 1 class in the actual code base. ### Workarounds Download a word2vec google news vector from a new source using git lfs

### Impact People who use some older NLP examples that reference the old S3 bucket. ### Patches The problem has been patched. Upgrade to snapshots for now. A release will be published later to address this due to the vulnerability mostly being examples and 1 class in the actual code base. ### Workarounds Download a word2vec google news vector from a new source using git lfs

Deeplearning4J es un conjunto de herramientas para implementar y entrenar modelos de aprendizaje profundo utilizando JVM. Los paquetes org.deeplearning4j:dl4j-examples y org.deeplearning4j:platform-tests hasta la versión 1.0.0-M2.1 pueden usar algunos depósitos S3 no reclamados en las pruebas de los ejemplos. Es probable que esto afecte a las personas que usan algunos ejemplos de PNL más antiguos que hacen referencia a un antiguo depósito de S3. El problema ha sido solucionado. Los usuarios deben actualizar a instantáneas ya que Deeplearning4J planea publicar una versión con la solución en una fecha posterior. Como workaround, descargue un vector de noticias de Google en word2vec desde una nueva fuente usando git lfs desde aquí.