MAD-CAT (Meow Attack Data Corruption Automation Tool) is a comprehensive security tool designed to simulate data corruption attacks against multiple database systems. The tool supports both single-target attacks and bulk CSV-based attack campaigns, with support for both credentialed and non-credentialed attack scenarios.
MAD-CAT (Meow Attack Data Corruption Automation Tool) is a comprehensive security tool designed to simulate data corruption attacks against multiple database systems. The tool supports both single-target attacks and bulk CSV-based attack campaigns, with support for both credentialed and non-credentialed attack scenarios.
The tool currently supports the following database services:
# Clone the repository
git clone https://github.com/karlvbiron/MAD-CAT.git
# Navigate to the tool directory
cd MAD-CAT
# Set up the virtual environment
python3 -m venv venv
source venv/bin/activate
# Install dependencies
pip install -r requirements.txt
| Argument | Description |
|---|---|
-l, --list | List supported database services |
-c, --csv | CSV file containing target list (format: ip,service,port,username,password) |
-t, --target | Target host IP address (for single target mode) |
-s, --service | Database service to attack (e.g., mongodb, elasticsearch, cassandra, redis, couchdb, hadoop) |
-p, --port | Port number (if not default) |
-u, --username | Username for authentication |
-pw, --password | Password for authentication |
-v, --verbose | Enable verbose output |
python mad_cat.py -l
python mad_cat.py -t 192.168.1.11 -s mongodb -u root -pw example
python mad_cat.py -t 192.168.1.12 -s elasticsearch
python mad_cat.py -t 192.168.1.13 -s cassandra
python mad_cat.py -t 192.168.1.14 -s redis
python mad_cat.py -t 192.168.1.15 -s couchdb -u admin -pw password
python mad_cat.py -t 192.168.1.16 -s hadoop
Attack multiple targets using a CSV file:
python mad_cat.py -c list.csv
The CSV file should contain one target per line with the following format:
192.168.1.11,mongodb,27017,"root","example"
192.168.1.12,elasticsearch,9200,"",""
192.168.1.13,cassandra,9042,"",""
192.168.1.14,redis,6379,"",""
192.168.1.15,couchdb,5984,"admin","password"
192.168.1.16,hadoop,9870,"",""
Format: ip,service,port,username,password
"") for non-credentialed attacksMAD-CAT/
├── __init__.py
├── core/
│ ├── __init__.py
│ ├── base_attacker.py # Abstract base class for all attackers
│ └── attack_factory.py # Factory pattern for attacker creation
├── attackers/
│ ├── __init__.py # Attacker registration
│ ├── mongodb.py # MongoDB attacker implementation
│ ├── elasticsearch.py # Elasticsearch attacker implementation
│ ├── cassandra.py # Cassandra attacker implementation
│ ├── redis.py # Redis attacker implementation
│ ├── couchdb.py # CouchDB attacker implementation
│ └── hadoop.py # Hadoop HDFS attacker implementation
├── utils/
│ ├── __init__.py
│ └── logging.py # Logging configuration
├── dockerized-database-infrastructure/
│ ├── docker-compose.yml # Docker Compose configuration
│ └── init-scripts/
│ ├── mongodb/
│ │ └── mongodb-init.js
│ ├── elasticsearch/
│ │ ├── es-custom-entrypoint.sh
│ │ └── es-bulk_data.json
│ ├── cassandra/
│ │ ├── cassandra-entrypoint.sh
│ │ └── cassandra-init.cql
│ ├── couchdb/
│ │ ├── couchdb-entrypoint.sh
│ │ └── couchdb-init.sh
│ ├── hadoop/
│ │ ├── hadoop-entrypoint.sh
│ │ └── hadoop-init.sh
│ └── redis/
│ ├── redis-entrypoint.sh
│ └── redis-init.sh
├── mad_cat.py # Main entry point
├── fetch_data.py # Utility to fetch and verify database data
├── list.csv # Example CSV file for bulk attacks
├── requirements.txt # Python dependencies
└── README.md # This file
logs/ directoryMAD-CAT simulates a data corruption attack by:
Target → Connect → List Databases → For Each Database:
├─ List Collections
└─ For Each Collection:
├─ Fetch All Records
├─ Replace Values with {random}-MEOW
└─ Update Records
| Service | Default Port |
|---|---|
| MongoDB | 27017 |
| Elasticsearch | 9200 |
| Cassandra | 9042 |
| Redis | 6379 |
| CouchDB | 5984 |
| Hadoop HDFS | 9870 |
A utility script to fetch and display data from all supported databases:
# Fetch from all databases and verify consistency
python fetch_data.py all
# Fetch from specific database
python fetch_data.py mongo
python fetch_data.py elasticsearch
python fetch_data.py cassandra
python fetch_data.py redis
python fetch_data.py couchdb
python fetch_data.py hadoop
This tool is provided for EDUCATIONAL PURPOSES ONLY. It is designed to demonstrate a type of cyber attack in a controlled environment to help improve security awareness and defensive measures. Using this tool against systems without proper authorization is illegal and unethical. The authors and contributors are not responsible for any misuse of this software.
This project is licensed under the MIT License - see the LICENSE file for details.
Created by Karl Biron