CPE Alias Mapping Index

Per-Source Alias Extraction Directory
Hashmire/Analysis_Tools 0.3.0

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What am I looking at?

Click to learn how to use this dashboard

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Overview:

The CPE Alias Mapping Index provides a directory of per-source alias extraction reports generated from enriched CVE records. Targeting Problem Domain #1 - CPE Base String Determination, this index helps navigate platform alias data extracted from various CVE contributors to facilitate CPE mapping workflows. Each source report contains detailed alias groups that can be reviewed and mapped to validated CPE Base Strings for improved automation coverage.

Goals:

Provide a centralized directory for accessing per-source alias extraction data, enabling systematic review and CPE mapping across all CVE contributors.
Support the goal of achieving 100% Confirmed Mapping coverage by organizing alias data for efficient processing and validation.

Feedback:

For technical issues, feature requests, or questions; please visit the Repository Issues page.
Community feedback and contributions to improve the dashboard's functionality and user experience are always encouraged!

🎯 How to Use

  • Review Summary - Examine aggregate statistics across all sources
  • Browse Sources - Scan the table for source-specific alias extraction metrics
  • Filter Sources - Use the search field to quickly find specific organizations or source identifiers
  • Open Report Files - Click JSON file links to download detailed alias data for mapping workflows

📊 Understanding Metrics

  • Total CVEs - Number of CVE records processed for this source
  • Unique Aliases - Distinct platform alias entries extracted from source contributions
  • Product Groups - Number of product-based groupings created from alias data
  • Avg Aliases/CVE - Average number of unique aliases per CVE record (indicates data richness)

🗺️ Next Steps

  • Load Report in Dashboard - Use the CPE Alias Mapping Dashboard to review and map aliases
  • Review High-Volume Sources - Focus on sources with high alias counts for maximum impact
  • Process Systematically - Work through sources incrementally to build comprehensive CPE mappings
Summary Statistics
Aggregate metrics across all sources
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Source Reports
Per-source alias extraction data
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