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BloodHound Graph Design

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Andy Robbins edited this page Aug 6, 2016 · 2 revisions

BloodHound operates with a graph database, using graph theory. This is a visual guide to the design of the graph:

BloodHound Graph Design

Every user, group, computer, and domain is a vertex, or node.

The directed edges (or relationships) between these nodes establish local admin privileges, group memberships, and user logon sessions.

The paths always lead towards compromising a user or group. Always.

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Overview

  1. Home
  2. Getting started
  3. Building BloodHound from source
  4. Running BloodHound dev server

Data Collection

  1. Intro
  2. PowerShell ingestor
  3. CSV ingestion
  4. Ingestion through C2

Using the Interface

  1. Intro
  2. Users
  3. Computers
  4. Groups
  5. Pathfinding

Advanced

  1. Cypher query language
  2. BloodHound graph design
  3. neo4j REST API
  4. BloodHound CSV format
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