Our team specializes in carefully dissecting and analyzing apps in order to provide our clients with the desired intelligence. This involves closely examining the app, recording its traffic, and thoroughly analyzing its contents.

A client needed to create a product that involved adding hooks to Java programs. Our team conducted research and created a prototype that demonstrated a secure method for adding hooks, extracting and accessing necessary data, and integrating it with the client's frontend.

Conducting a thorough analysis of a client's build systems, implementing optimization strategies, and making necessary changes to streamline processes, ultimately leading to reduced idle time for developers and increased productivity.

For this project, we were tasked with building a product that involved adding hooks to Java programs. We researched and developed a prototype, demonstrating a secure method for adding hooks, extracting and accessing the required data, and integrating it with the client's frontend.

We were contracted to conduct research and reverse engineering on archival programs and obsolete technologies, such as MFC, VisualBasic, and DOS programs.
The solution we provided was a crucial factor in the success of our client's business objectives.

A client in the field of cyber security hired us to create a pwn-this CTF challenge written in the Rust programming language in order to attract top security researchers. Successfully solving the challenge required a thorough understanding of technical concepts and the ability to exploit a heap overflow that was cleverly concealed within the challenge.

We were hired by a major automobile company to conduct a security review of their newly created software. Our team examined several components, predominantly written in C++ and Java, and discovered serious vulnerabilities in the code. We were able to assist in resolving these issues before the official release of the car model.

In preparation for a security audit, a detailed reverse engineering analysis was conducted on a client's embedded Internet of Things (IoT) solution. This involved examining and analyzing the solution's components and systems across multiple platforms in order to identify potential vulnerabilities and areas for improvement.