Overview 2 matches · 1 in Waratek scope · 0 protected · 0 exploited · 0 CISA KEV · 0 public PoC · 0 EPSS ≥ 0.5
2matches
1in Waratek scope50.0%
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
50.0%
Outside Waratek scope
0
0.0%
Not applicable
1
50.0%
Withdrawn CVE
0
0.0%
blocked by ARMR today
0
0.0%
partly blocked
0
0.0%
not blocked
2
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
2
100.0%
split by
peak 1 / month
Dec 22Feb 23Apr 23Jun 23Aug 23Oct 23Dec 23Feb 24
| CVE | Severity | Published▾ | Status | Exploitation | Description |
|---|---|---|---|---|---|
| CVE-2024-26466 | Medium | 2024-02-26 | Not applicable | No public exploit | A DOM based cross-site scripting (XSS) vulnerability in the component /dom/ranges/Range-test-iframe.html of web-platform-tests/wpt before commit 938e843 allows attackers to execute arbitrary Javascript via sending a crafted URL. |
| 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. |