GoodHound - Uses Sharphound, Bloodhound And Neo4j To Produce An Actionable List Of Attack Paths For Targeted Remediation

Attackers think in graphs, defenders think in actions, management think in charts.

GoodHound operationalises Bloodhound by determining the busiest paths to high value targets and creating actionable output to prioritise remediation of attack paths.

Usage

Quick Start

For a very quick start with most of the default options, make sure you have your neo4j server running and loaded with SharpHound data and run:

pip install goodhound
goodhound -p "neo4jpassword"

This will process the data in neo4j and output 3 csv …

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