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Including CVEs outside Waratek scope✕Vendor org.deeplearning4j✕Product dl4j-examples✕
Overview 1 match · 0 protected · 0 exploited · 0 CISA KEV · 0 public PoC · 0 EPSS ≥ 0.5
1match 0protected0.0% 0exploited0.0% 0CISA KEV0.0% 0public PoC0.0% 0EPSS ≥ 0.50.0%
Protected by Waratek 0 0.0% Rule in development 0 0.0% Mitigation candidate 0 0.0% No exploit published 1 100.0% Outside Waratek scope 0 0.0% Not applicable 0 0.0% Withdrawn CVE 0 0.0%
Critical 0 0.0% High 0 0.0% Medium 1 100.0% Low 0 0.0% None 0 0.0% Unknown 0 0.0%
blocked by ARMR today 0 0.0% partly blocked 0 0.0% not blocked 1 100.0% not established 0 0.0% unrecorded 0 0.0%
Exploited 0 0.0% Working exploit published 0 0.0% Proof of concept only 0 0.0% Forecast only 0 0.0% No public exploit 1 100.0%
split by peak 1 / month
No exploit published: 1 Medium: 1 not blocked: 1 No public exploit: 1
Nov 22
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CVE Severity Published▾ Status Exploitation Description
CVE-2022-36022 Medium 2022-11-10 No exploit published No public exploit 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.