intelligence_src_74dcea1e7d16bc2a75
- Source-provided label
- Publisher RSS metadata
- Evidence class
- mentioned in report
- Confidence
- Not reported
- Observed
- Feb 14, 2020 13:08 UTC
- Retrieved
- Oct 14, 2026 22:55 UTC
Prioritizing Vulnerability Management Using Machine Learning
Using a few free web sources and a spreadsheet, security teams can use machine learning to quickly predict which critical vulnerabilities will be exploited.
Reference details
- Source category
- research-report
- First reported
- Feb 14, 2020 13:08 UTC
- Last reported
- Feb 14, 2020 13:08 UTC
- Catalog updated
- Oct 14, 2026 22:55 UTC
- Record ID
e554ab69e0b219dbf836548191e225b74fa80ce675883a5f8e401d3f9f82c933
Published indicators
Network indicators are visibly defanged. This page does not make them clickable or send them to another service.
No validated file hashes or network indicators are stored for this record.
Source observations
This record contains metadata and attribution only. It does not host, download, unpack, render, or execute malware samples.
Feed collection status
Sources represented on this page. Publication and observation dates describe the content; successful batch dates describe local collection. A recent batch does not certify complete coverage or current provider availability.
1 sources: 0 stale, 0 needing attention, 0 paused, 0 unverified.
Review source update dates and status
- intelligence_src_74dcea1e7d16bc2a75Partial refreshLast successful batch: Last attempt:
Stale means older than twice the recorded collection interval, with a minimum of one hour; without an interval, the threshold is 24 hours. Cached content remains available while a feed is stale, paused, or unverified.