Getting started
Getting started with BloodHound is very simple. Once complete, head over to the Data Collection section to start collecting data, or check out the included database using BloodHound.
#Windows
-
Download and install neo4j community edition.
Optional: configure the REST API to accept remote connections if you plan to run neo4j and the PowerShell ingestor on different hosts.
-
Clone the BloodHound GitHub repo.
git clone https://github.com/adaptivethreat/Bloodhound -
Start the neo4j server, pointing neo4j to the provided sample graph database.
-
Run BloodHound.exe from the release found here or build BloodHound from source.
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Authenticate to the provided sample graph database at http://localhost:7474. The username is "neo4j", and the password is "BloodHound".
You're now ready to get started with data collection!
#Linux
-
Download and install neo4j community edition.
Optional: configure the REST API to accept remote connections if you plan to run neo4j and the PowerShell ingestor on different hosts.
-
Clone the BloodHound GitHub repo.
git clone https://github.com/adaptivethreat/Bloodhound -
Start the neo4j server, pointing neo4j to the provided sample graph database.
-
Run BloodHound from the release found here or build BloodHound from source.
./BloodHound -
Authenticate to the provided sample graph database at http://localhost:7474. The username is "neo4j", and the password is "BloodHound".
You're now ready to get started with data collection!
#OSX
-
Download and install neo4j community edition.
Optional: configure the REST API to accept remote connections if you plan to run neo4j and the PowerShell ingestor on different hosts.
-
Clone the BloodHound GitHub repo.
git clone https://github.com/adaptivethreat/Bloodhound -
Start the neo4j server, pointing neo4j to the provided sample graph database.
-
Run the BloodHound App from the release found here or build BloodHound from source.
-
Authenticate to the provided sample graph database at http://localhost:7474. The username is "neo4j", and the password is "BloodHound".
You're now ready to get started with data collection!