soaphound-py 1.1.0

BloodHound ingestor using ADWS (Active Directory Web Services), with Kerberos support. Official PyPI package maintained by @j4s0nmo0n.

Description

While reading BloodHound.py, a Linux alternative to SharpHound, we observed that object collection is performed on a case-by-case basis. Specific conditions are evaluated to determine the most relevant information for each collected object, and tailored actions are taken accordingly.

We sought to follow a similar logic while implementing Soaphound.py, aiming to collect the most valuable information during object enumeration through ADWS. In addition, since user sessions on machines are not collected through LDAP, we reused BloodHound.py's approach to perform this collection.

The tool is currently being improved to cover all specific data collection scenarios. At the time of writing, it is capable of collecting Active Directory objects via the ADWS service and retrieving remote session data similar to what BloodHound.py achieves. Alternatively, it can operate in a mode restricted to collecting only AD objects through ADWS using the -c ADWSOnly option.

More information: you may check out the short blog post

Usage

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usage: soaphound [-h] [-c COLLECTIONMETHOD] -d DOMAIN [-v] [--ts] -u USERNAME
                 [-p PASSWORD] [--hashes HASHES] [-k] [-aesKey HEXKEY]
                 [-dc-ip HOST] -dc HOST [--zip] [-op PREFIX_NAME]
                 [-wk NUM_WORKERS] [--output-dir OUTPUT_DIR]
                 [--cert-find] [--cert-find-force-epa {auto,enabled,disabled}]
                 [--cert-find-skip-web-probe] [--cert-find-ca-rpc]

Python based ingestor for BloodHound using ADWS

options:
  -h, --help            show this help message and exit
  -c, --collectionmethod COLLECTIONMETHOD
                        Which information to collect: Default or ADWSOnly
                        (no computer connections).
  -d, --domain DOMAIN   Domain to query.
  -v                    Enable verbose output.
  --ts                  Add timestamp to logs.

authentication options:
  NTLM authentication is supported using a username/password or NT hash.
  Kerberos authentication is supported through -k using the ccache pointed to
  by KRB5CCNAME.

  -u, --username USERNAME
                        Username. Format: username[@domain].
                        If the domain is unspecified, the current domain is used.
  -p, --password PASSWORD
                        Password.
  --hashes HASHES       LM:NTLM hashes.
  -k, --kerberos        Use Kerberos authentication through the ticket available
                        in the ccache pointed to by KRB5CCNAME.
  -aesKey, --aes-key HEXKEY
                        AES key, 128 or 256 bits, for Kerberos authentication.
                        Used for SMB collection in Default mode.
  -dc-ip, --kdc-ip HOST
                        KDC IP address or hostname. Useful when the ADWS DC and
                        the KDC differ. Defaults to the value provided with -dc.

collection options:
  -dc, --domain-controller HOST
                        DC to query, hostname or FQDN.
  --zip                 Compress the JSON output files into a zip archive.
  -op, --outputprefix PREFIX_NAME
                        String to prepend to output file names.
  -wk, --worker_num NUM_WORKERS
                        Number of workers, default 100.
  --output-dir OUTPUT_DIR
                        Output folder, default current directory.
  --cert-find           Enumerate AD CS certificate templates and CAs like certipy find.
  --cert-find-force-epa {auto,enabled,disabled}
                        Override HTTPS EPA detection for AD CS Web Enrollment: auto, enabled, or disabled.
  --cert-find-skip-web-probe
                        Do not probe HTTP/HTTPS /certsrv/ endpoints AD CS Web Enrollment and ESC8 will not be evaluated.
  --cert-find-ca-rpc    Enrich CA configuration through Remote Registry/RPC:
                        User Specified SAN, Request Disposition, Enforce
                        Encryption, Active Policy.

Installation

With pipx (recommended)

pipx install git+https://github.com/j4s0nmo0n/Soaphound.py
soaphound --help

With Shadow Credentials support (optional dsinternals dependency):

pipx install "soaphound[shadowcred] @ git+https://github.com/j4s0nmo0n/Soaphound.py"

To upgrade later:

pipx upgrade soaphound

With poetry (development)

git clone https://github.com/j4s0nmo0n/Soaphound.py
cd Soaphound.py
poetry install
poetry run soaphound --help

With pip in a virtualenv

python3 -m venv ~/venvs/soaphound
source ~/venvs/soaphound/bin/activate
pip install git+https://github.com/j4s0nmo0n/Soaphound.py

Example Usage

Perform ADWS collection with session enumeration

soaphound -d jjk.local -u yuji -p SukunaIsAbitch -dc dc-curse --output-dir output

Perform ADWS-only collection (no SMB session enumeration)

soaphound -d jjk.local -u yuji -p SukunaIsAbitch -dc dc-curse --output-dir output -c ADWSOnly

Perform ADCS information collection

soaphound -d jjk.local -u yuji -p SukunaIsAbitch -dc dc-curse --cert-find --cert-find-force-epa auto

Kerberos authentication (-k)

Soaphound supports Kerberos authentication through the -k option and the KRB5CCNAME environment variable.

The ccache may contain a valid TGT or a usable service ticket, depending on the collection mode and the operations being performed.

# Load a Kerberos ticket
export KRB5CCNAME=/tmp/yuji.ccache

# Run Soaphound with Kerberos
soaphound -d jjk.local -u yuji -dc dc-curse.jjk.local -k

# Run ADWS-only collection with Kerberos
soaphound -d jjk.local -u yuji -dc dc-curse.jjk.local -k -c ADWSOnly

# Let Soaphound extract the username and domain from the ccache
soaphound -dc dc-curse.jjk.local -k -c ADWSOnly

# Use a different KDC
soaphound -d jjk.local -u yuji -dc adws.jjk.local -dc-ip kdc.jjk.local -k

References

• Falcon Force Team for the initial inspiration.
• BloodHound.py, for this amazing implementation of BloodHound ingestor.
• SOAPy by @_logangoins, whose Kerberos NNS implementation is the basis of the -k support.
• Microsoft for the official protocol documentation.
• ERNW for the initial boost.
• X-Force Red for their brilliant implementation of NBFX and research insights.
• Rabobank Red Team for sharing valuable resources and operational insights.