MAD-CAT (Meow Attack Data Corruption Automation Tool) is a powerful tool designed for simulating data corruption attacks on various database systems, including MongoDB, Elasticsearch, Cassandra, Redis, CouchDB, and Hadoop HDFS. Users can perform both single-target attacks and bulk attacks using a CSV file. The tool allows for credentialed and non-credentialed scenarios, giving users flexibility in how they test security measures. To set up MAD-CAT, users clone the repository from GitHub, navigate to the directory, create a virtual environment, and install the necessary dependencies. The command-line interface offers options for listing supported services, specifying targets, and running both individual and bulk attacks. For bulk operations, the CSV file format is straightforward, requiring entries for IP address, service, port, username, and password, where empty strings indicate non-credentialed access. The attack process involves connecting to the target database, enumerating databases and collections, and corrupting data by replacing values with random alphanumeric strings suffixed with "-MEOW." The tool logs detailed statistics on the databases affected, collections modified, and records changed. Comprehensive logging and a user confirmation step before execution help ensure responsible use. This tool is intended for educational purposes, highlighting the importance of cybersecurity awareness and defense strategies.