The repository chronicles the author's development of a stealthy in-memory loader aimed at understanding malware evasion techniques and enhancing skills in offensive security and low-level programming. The project consists of multiple sub-projects, focusing on tasks such as memory allocation, downloading payloads to memory, and executing machine code directly from memory, with future plans to incorporate encryption and advanced evasion techniques. It serves as an educational resource for penetration testers and security researchers, emphasizing ethical usage.

Elastic Security Labs reports on the misuse of SHELLTER, a commercial evasion framework, by threat groups for infostealer campaigns since April 2025. The framework's advanced capabilities allow malicious actors to evade detection by anti-malware solutions, prompting the release of a dynamic unpacker by Elastic Security Labs to analyze SHELLTER-protected binaries. Key features include polymorphic obfuscation, payload encryption, and mechanisms to bypass detection systems.