How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
The main features of akeit0/il2cpputility are: Reverse Engineering.
Projects with overlapping indexed features include: mandiant/flare-vm — Flare-VM is a Windows malware analysis environment consisting of installation scripts that automate the provisioning… blacktop/ipsw — ipsw is a specialized toolkit for iOS firmware analysis, binary reverse engineering, and hardware interaction. It… vxunderground/malwaresourcecode — This project is a curated archive and cybersecurity research dataset of raw source code from various malware families.… badapple001/il2cppencrtypt. blackint3/openark. barakaharoni/pycdcode.
Flare-VM is a Windows malware analysis environment consisting of installation scripts that automate the provisioning of a virtual machine. It provides a comprehensive suite of reverse engineering tools, including decompilers and debuggers, along with the necessary system configurations and environment variables for security research. The project functions as a virtual machine image orchestrator, allowing for the automated creation, management, and export of specialized analysis appliances. It features configuration-driven tool selection and the ability to extend installation logic through cus
ipsw is a specialized toolkit for iOS firmware analysis, binary reverse engineering, and hardware interaction. It provides a suite of tools for downloading, extracting, and analyzing firmware images and kernel caches, alongside a MachO binary analysis tool for disassembling and patching executables. The project distinguishes itself through integrated language-model-powered code reconstruction to translate machine code into high-level source code. It also features an automation client for the App Store Connect API to manage certificates and application settings. The framework covers a broad r
This project is a curated archive and cybersecurity research dataset of raw source code from various malware families. It serves as a malware analysis library designed to help researchers study the inner workings of different threats and identify attack patterns across multiple platforms and programming languages. The repository supports security research by providing raw text distribution of original source code. This allows for the study of platform vulnerabilities, threat intelligence gathering, and the development of security products and detection signatures. The collection is organized