Daily Blog #769: Forensic Lunch Test Kitchen

Tonight, Evan and I ventured into the world of forensic analysis with a twist - lunch testing! We employed the power of Cursor with the Clause 3.7 model to revive the legendary tool Margarita Shotgun, a remote memory acquisition tool that's been dormant for over seven years.

The Revival Begins

We started by updating the codebase to modern Python 3, a feat that required some careful navigation through outdated syntax and structures. The original code was written in an era where Python 2 still reigned supreme, and it wasn't until we dove into the depths of the GitHub repository that we realized just how far behind we were.

As we worked our way through the code, we identified several areas that could benefit from improvement. We suggested updates to improve readability, enhance security measures, and streamline the overall user experience. It was a painstaking process, but one that yielded significant rewards in the end.

A New Interactive UI

But the real pièce de résistance came when we decided to integrate a new interactive UI using the rich library. This added a sleek, modern touch to an otherwise clunky interface, making it easier for users to navigate and exploit the tool's capabilities.

With the updated code and shiny new UI in place, Margarita Shotgun was once again ready to take on whatever forensic challenges came its way. We couldn't wait to put it through its paces tomorrow night, when we'll be setting up a test environment in AWS to identify any remaining issues.

The Future is Bright

As we look to the future, one thing is clear: Margarita Shotgun has been given a new lease on life. With its modernized codebase and improved UI, this tool is poised to become an indispensable asset for forensic analysts around the world.

We're excited to see what the future holds for Margarita Shotgun, and we can't wait to share our progress with you. Stay tuned for more updates from our forensic lunch testing kitchen!