Developed a targeted feature for the hashcat/hashcat repository, delivering a Python-based script to automate password hash extraction from CacheData files. The solution focused on data extraction and file parsing, identifying hash-containing nodes and formatting output for seamless integration with Hashcat workflows. Robust error handling and user feedback mechanisms were incorporated to address unsupported file versions, enhancing reliability and user experience. The work streamlined the data processing pipeline, reducing manual preparation and enabling faster, reproducible hash extraction for security research. This contribution demonstrated proficiency in Python scripting, reverse engineering, and version-controlled development, with an emphasis on stability and workflow efficiency.