BloodSOCer

BloodSOCer is a Python automation tool that aggregates threat intelligence data from multiple sources (Mitre ATT&CK, Sigma rules, Atomic Red Team) and produces JSON files to ingest in BloodHound in OpenGraph format. BloodSOCer can also upload the files to BloodHound and set the icons for the custom objects if it has API Tokens defined in the configuration. Security analysts can then visualize the data from any angle, and a few Cypher queries are provided to help you get started.

Goals

The idea behind this project is to help SOC map their coverage of the Mitre ATT&CK Framework and help during incident response to quickly identify where there might be blind spots. Ideally the SOC would map their own detections and not the "canned" one from Sigma. Don't get me wrong, Sigma is one of my favorite Open Source project, but most detections are better suited for context/enrichment or generate threat hunting lead than creating actionable tickets.

When I was in a SOC we often tried to view/show how our detections mapped to the ATT&CK Framework. I always thought BloodHound type graph would be awesome for that so I built this project hoping that it would help fellow Blue Teamers visualize their coverage and how the different pieces are linked together.

With the ingestion of ART, it's also possible to see which TTP are easy to test and which one can't be tested easily.

I highly encourage you to share Sigma Rules and ART back to the original project if you create detections/tests for a TTP that doesn't have any.

Features

• SigmaHound: Fetch and process Sigma detection rules
• ARTHound: Fetch and process Atomic Red Team (ART) tests
• Define Icons: Customize BloodHound icons for threat actors and techniques
• Saved Queries: Import bundled Cypher queries into BloodHound via UL-Cyphers.py or --setup
• Batch Upload: Upload generated JSON graphs to BloodHound with automatic ingest triggering
• Upload Only: If you already have the files but want to import to a new BloodHound instance or cleared the database
• Clear Database: Reset a BloodHound instance via API before a fresh import
• Setup Helper: One flag to run icon updates and saved query import together
• One Playbook linked to 2 TTP: This is just to show you what it would look like if you mapped your IR Playbooks to ATT&CK and ingested the data
• CLI Interface: Simple command-line arguments to run individual or all components

Requirements

• Python 3.8+
• BloodHound server running (default: http://127.0.0.1:8080)

Optional

• BloodHound API credentials (Token ID and Token Key)
  • If you do not supply API Keys, BloodSOCer won't be able to
    • U/L the data generated (but you can u/l it manually in the UI)
    • Create the Custom Cyphers for this project (but you can u/l them manually in the UI)
    • Set custom icons

Installation

1. Clone the repository:

   root@kitploit:~

   git clone https://github.com/yourusername/BloodSOCer.git
   cd BloodSOCer
   

2. Install dependencies:

   root@kitploit:~

   pip3 install -r requirements.txt
   

3. Configure API credentials in BloodSOCer.py:

   root@kitploit:~

   apikey = "your-api-key-here"
   apiid = "your-api-id-here"
   

Usage

Just YOLO it

python3 BloodSOCer.py

Show help

python3 BloodSOCer.py -h

Run individual hounds

python3 BloodSOCer.py --mitre, -m
python3 BloodSOCer.py --sigma, -s
python3 BloodSOCer.py --art, -r

Run Define Icons

python3 BloodSOCer.py --define-icons, -di

Run setup (icons + cyphers)

python3 BloodSOCer.py --setup, -st

Upload files only

python3 BloodSOCer.py --upload-only, -ul

Run all hounds and upload the data

python3 BloodSOCer.py --all, -a

Combine multiple operations

python3 BloodSOCer.py --mitre --sigma --define-icons

Delete all data in the database

python3 BloodSOCer.py --clear-db

NOTE: For --define-icons and --upload-only an API Key and API Secret must be defined in BloodSOCer.py

Configuration

Edit BloodSOCer.py to customize:

• apikey: Your BloodHound API key
• apiid: Your BloodHound API ID
• url: BloodHound server URL (default: http://127.0.0.1:8080)

File Structure

BloodSOCer/
├── BloodSOCer.py              # Main entry point
├── MitreHound.py              # MITRE ATT&CK data fetcher
├── ARTHound.py                # Atomic Red Team data fetcher
├── SigmaHound.py              # Sigma rules data fetcher
├── Define-Icons.py            # BloodHound icon customizer
├── UL-Cyphers.py              # Upload custom Cyphers to help query ingested data
├── Cyphers/                   # Saved queries (Cypher) JSONs
├── ressources/                # Images/diagrams (Arrows graph, logo)
├── README.md                  # This file
├── requirements.txt           # Python dependencies
└── output/                    # Generated *_graph.json files

New Nodes and Edges

Nodes

This project adds the following node types

• TA_Group
  • Threat Actor Group
• Tactic
  • Mitre ATT&CK Tactic such as "Command and Control"
• Technique
  • Mitre ATT&CK Technique such as "OS Credential Dumping"
  • Mitre ATT&CK Sub-Technique such as "OS Credential Dumping: LSA Secrets"
• Tool
  • Software used to perform attack such as "UACMe"
• Rule
  • Sigma Rules to detect a Technique or Sub-Technique
• ART
  • Atomic Red Team - Tests that leverage a specific Technique or Sub-Technique
• Playbook
  • Incident Response Playbook, such as IRP that can be used when a Technique is successfully used by an adversary
  • Note: Because IRP doesn't have mapping to the Mitre ATT&CK Framework, those are not currently implemented

Edges

This project adds the following edges/relationships

• Exploits
  • A Tool Exploits a (Sub-)Technique
• Uses
  • A Threat Actor Uses a Tool or a (Sub-)Technique
• PartOf
  • A Technique is PartOf a Tactic
• SubTechniqueOf
  • A Sub-Technique is a SubTechniqueOf a Technique
• DetectedBy
  • A (Sub-)Technique is DetectedBy a Rule
• TestedBy
  • A (Sub-)Technique is TestedBy an ART
• InvestigateWith
  • A (Sub-)Technique is InvestigateWith a Playbook

Concept Graph

BloodSOCer Arrows Graph

To download the json file of this Arrows.app graph click here

Example Output

Detections for FIN7 using Mimikatz

Tactics used by FIN7

Detection and Test for FIN7 activity

Playbooks to investigate FIN7 & Scattered Spider activity

Notes

• Ingestion of uploaded data may take a few minutes depending on file size and server load and ressources
• Ensure BloodHound API credentials are valid before running
• All JSON graph files must be present in the current directory before uploading
• Custom icons defined in Define-Icons.py will be applied to the BloodHound interface
• This tool currently do not ingest any Playbooks

License

Apache 2.0

Acknoledgements

When I first heard of OpenGraph, I immediately thought it would be a great way to ingest the Mitre ATT&CK Framework and use BloodHound to visualize it. Olaf Hartong did that a few years ago see his blog apparently inspired by SadProcessor who's now a colleague of mine. We came full circle on this.

Contributing

Pull requests and issues are welcome.