# BloodHound.py
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BloodHound.py is a Python based ingestor for [BloodHound](https://github.com/BloodHoundAD/BloodHound), based on [Impacket](https://github.com/CoreSecurity/impacket/).

The code in this branch is **only compatible with BloodHound 4.2 and 4.3**. For BloodHound CE, check out the [bloodhound-ce branch](https://github.com/dirkjanm/BloodHound.py/tree/bloodhound-ce)

## Installation
There are different install methods for BloodHound Community Edition (CE) and BloodHound legacy. You can only have one of the two tools installed at the same time, unless you use a virtual environment for both tools, or a package manager like pipx that automatically sets these up.

### BloodHound Legacy
The following install methods are available:
* Via pip: `pip install bloodhound`
* Via pipx: `pipx install bloodhound`
* By cloning this repository `git clone https://github.com/dirkjanm/BloodHound.py` and running `pip install .` from the project directory.

The BloodHound.py Legacy installation will add a command line tool `bloodhound-python` to your PATH.

### BloodHound CE
The following install methods are available:
* Via pip: `pip install bloodhound-ce`
* Via pipx: `pipx install bloodhound-ce`
* By cloning this repository `git clone https://github.com/dirkjanm/BloodHound.py`, checking out the CE branch `git checkout bloodhound-ce` and running `pip install .` from the project directory.

The BloodHound.py CE ingestor will add a command line tool `bloodhound-ce-python` to your PATH.

## Usage
To use the ingestor, at a minimum you will need credentials of the domain you're logging in to. Credentials can be specified as username + password, NT hash or AES keys, or a Kerberos TGT in a ccache file.
You will need to specify the `-u` option with a username of this domain (or `username@domain` for a user in a trusted domain). If you have your DNS set up properly and the AD domain is in your DNS search list, then BloodHound.py will automatically detect the domain for you. If not, you have to specify it manually with the `-d` option.

By default BloodHound.py will query LDAP and the individual computers of the domain to enumerate users, computers, groups, trusts, sessions and local admins. 
If you want to restrict collection, specify the `--collectionmethod` parameter, which supports the following options (similar to SharpHound):
- *Default* - Performs group membership collection, domain trust collection, local admin collection, and session collection
- *Group* - Performs group membership collection
- *LocalAdmin* - Performs local admin collection
- *RDP* - Performs Remote Desktop Users collection
- *DCOM* - Performs Distributed COM Users collection
- *Container* - Performs container collection (GPO/Organizational Units/Default containers)
- *PSRemote* - Performs Remote Management (PS Remoting) Users collection
- *DCOnly* - Runs all collection methods that can be queried from the DC only, no connection to member hosts/servers needed. This is equal to Group,Acl,Trusts,ObjectProps,Container
- *Session* - Performs session collection
- *Acl* - Performs ACL collection
- *Trusts* - Performs domain trust enumeration
- *LoggedOn* - Performs privileged Session enumeration (requires local admin on the target)
- *ObjectProps* - Performs Object Properties collection for properties such as LastLogon or PwdLastSet
- *All* - Runs all methods above, except LoggedOn
- *Experimental* - Connects to individual hosts to enumerate services and scheduled tasks that may have stored credentials

Multiple collectionmethods should be separated by a comma, for example: `-c Group,LocalAdmin`

You can override some of the automatic detection options, such as the hostname of the primary Domain Controller if you want to use a different Domain Controller with `-dc`, or specify your own Global Catalog with `-gc`.

## Limitations
BloodHound.py currently has the following limitations:
- Supports most, but not all BloodHound (SharpHound) features. Currently GPO local groups are not supported, all other collection methods are implemented.

## Docker usage
1. Build container  
```docker build -t bloodhound .```  
2. Run container  
```docker run -v ${PWD}:/bloodhound-data -it bloodhound```  
After that you can run `bloodhound-python` inside the container, all data will be stored in the path from where you start the container.

## Credits
BloodHound.py was originally written by Dirk-jan Mollema, Edwin van Vliet and Matthijs Gielen from [Fox-IT (NCC Group)](https://fox-it.com/). BloodHound.py is currently maintained by Dirk-jan Mollema from [Outsider Security](https://outsidersecurity.nl). The implementation and data model is based on the original tool from [SpecterOps](https://specterops.io). Many thanks to everyone who contributed by testing, submitting issues and pull requests over the years.