Open-source alternatives to IOSAppReverseEngineering

Angr is a binary analysis framework and static analysis tool used for reverse engineering compiled binaries. It serves as a binary decompiler and a lifting platform that translates machine code into a common intermediate representation to enable cross-architecture analysis. The framework integrates a symbolic execution engine and constraint solvers to determine the inputs required to reach specific program states. It also employs untrusted code sandboxing to isolate guest code from the host environment during analysis. Its capabilities cover control flow and data flow analysis, including the

RetDec is a reverse engineering framework and static binary analysis tool. Its primary purpose is to function as an LLVM-based machine code decompiler that translates binary machine code from multiple architectures into high-level C source code. The system employs a multi-stage lifting pipeline to recover program logic, using an intermediate representation to apply optimizations before emitting source code. It distinguishes itself through the ability to identify compilers and packers, perform executable unpacking, and reconstruct class hierarchies and original program structures. The framewo

Flare-floss is a security utility and static binary string extractor designed to uncover hidden text and configuration data within compiled binaries. It functions as an obfuscated string decoder and reverse engineering tool to translate encoded strings into readable text for security auditing. The project employs emulated execution to capture the decrypted state of strings in memory by running small chunks of binary code in a virtual CPU. It further utilizes static analysis disassembly, intermediate representation analysis, and heuristic-based pattern matching to identify and decode strings t

Capstone is a multi-architecture disassembly framework and binary translation system. It converts binary machine code into human-readable assembly instructions for a wide variety of hardware instruction set architectures and virtual machines. The framework supports a diverse range of targets, including x86, ARM, RISC-V, and MIPS, as well as virtual machine environments like WebAssembly and the Ethereum Virtual Machine. It functions as an instruction analysis tool capable of extracting granular decomposition data and semantic information from disassembled code. The engine is designed for low-

GhidraMCP is a Model Context Protocol server that exposes Ghidra binary analysis and decompilation functions to external intelligence models. It acts as a bridge that connects the Ghidra reverse engineering suite to external tools through a standardized communication protocol, facilitating automated reverse engineering and software auditing. The project enables the extraction of decompiled code and program structural data to populate the context windows of language models. It features a binary symbol management tool capable of dynamic symbol resolution, allowing method and data names to be up

The Mobile Application Security Testing Guide is a comprehensive framework and technical resource designed for the assessment of mobile software security. It provides a structured collection of requirements and methodologies to identify vulnerabilities and security flaws in mobile applications prior to their deployment. The project distinguishes itself by integrating reverse engineering techniques with standardized testing procedures to evaluate application logic and binary structures. It supports both Android and iOS platforms, utilizing threat-model-driven methodologies to ensure that secur

embedded-notes is a collection of technical study guides and development notes focused on embedded Linux, Linux kernel internals, and C programming. It serves as a reference for embedded systems development and a preparation resource for technical interviews in the field. The project provides detailed documentation on writing device drivers, managing virtual memory, and understanding kernel internals. It also includes guides on IoT network protocols, such as MQTT and TCP/IP, and outlines the architectural details of chip architectures and hardware peripherals. The material covers a broad sur

Functional-Light-JS is a JavaScript functional programming library designed to implement functional patterns within JavaScript applications. It serves as a toolkit for declarative data processing, immutable data management, and the construction of complex logic through higher-order functions. The library focuses on a pragmatic implementation of functional programming, providing utilities for curried argument application and function composition. It emphasizes the use of pure functions to calculate state updates and manage application data without side effects. The project covers broad capabi

Comprehensive Rust is a structured educational curriculum designed to teach the Rust programming language, focusing on its core principles of memory safety, performance, and type correctness. The project provides a comprehensive learning path for software engineers, covering the language's ownership model, borrow checking, and compile-time validation mechanisms that eliminate common memory-related errors without the need for a garbage collector. The curriculum distinguishes itself by offering specialized modules that demonstrate how to apply these safety guarantees in diverse, high-performanc

This project is a comprehensive educational curriculum and engineering handbook focused on the lifecycle of large language models. It serves as a structured knowledge base for machine learning practitioners, covering the fundamental mathematical and architectural principles of transformer-based sequence modeling, as well as the practical implementation of supervised instruction fine-tuning and preference-based model alignment. The repository distinguishes itself by providing a deep dive into advanced model composition and optimization techniques. It details methodologies for weight-space mode

A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

Papers We Love is a community-driven repository and learning network dedicated to the study and discussion of foundational computer science literature. It functions as a centralized educational archive, providing a structured environment where software professionals can engage with academic research to bridge the gap between theoretical concepts and practical application. The project distinguishes itself through a decentralized model of crowdsourced curation, where community members collectively maintain and categorize a vast index of technical resources. Beyond the repository itself, the ini

This project is a data science curriculum and instructional syllabus designed to teach the fundamental principles and tools of the field. It provides a structured set of learning materials, including R programming courseware and guides for statistical learning. The materials focus on the practical application of data science, covering data cleaning, visualization, and exploratory data analysis. It includes resources for mastering specific techniques such as linear regression, classification, and unsupervised learning. The curriculum is organized into a modular sequence of educational modules

This project is a community-driven educational repository that serves as a comprehensive directory of university-level computer science video lectures. It provides a structured learning path for students and professionals, aggregating high-quality academic resources to facilitate self-paced study across a wide range of technical disciplines. The repository distinguishes itself through a collaborative maintenance model, utilizing version control workflows to allow contributors to expand and update the collection. Content is organized within a single, version-controlled document that leverages

This project is a community-maintained directory that serves as a comprehensive index of software tools, frameworks, and educational materials. It functions as an open-source knowledge base, organizing diverse engineering domains and technical resources into a structured taxonomy to assist developers in discovering high-quality content. The directory distinguishes itself through a decentralized peer-review model, where independent contributors curate, verify, and update entries to ensure accuracy and relevance. All information is stored in a version-controlled, flat-file markdown format, whic

This project is a community-driven library of structured text inputs designed to guide large language models into specific roles, behaviors, and operational modes. It functions as a comprehensive repository of prompt engineering resources, providing reusable templates that allow users to override default model tendencies and enforce domain-specific response patterns through instruction-following logic. The collection distinguishes itself by offering specialized persona-based directives that constrain model output to simulate professional experts or functional technical environments. By utiliz

This project is a comprehensive collection of machine learning educational resources, featuring a Python-based curriculum, study guides for deep learning, and a specialized knowledge base for machine learning operations. It provides structured learning paths that guide users from foundational programming through to advanced neural network implementations. The repository focuses on interactive learning by providing a directory of executable notebooks and cloud-hosted experiments. It maps theoretical research papers and textbooks to practical code implementations and maintains a curated directo

Training materials crafted and publicly provided by Red Naga members

This project is a comprehensive, open-source educational curriculum designed to guide developers through the mastery of generative artificial intelligence. It provides a structured learning path that covers foundational concepts, prompt engineering, and the practical application of large language models. The repository serves as a central hub for skill acquisition, offering sequential modules that progress from basic model mechanics to advanced architectural patterns. The curriculum distinguishes itself by focusing on the end-to-end lifecycle of intelligent software, including the implementat

This project is a comprehensive repository of verified computational implementations designed to serve as an educational resource for computer science and algorithmic problem solving. It provides a structured collection of code examples that cover fundamental data structures, mathematical operations, and core programming concepts, allowing users to study the logic and complexity behind various computational methods. The repository distinguishes itself through a modular, reference-based implementation pattern that organizes code into logical namespaces. This approach facilitates independent ex

This project is a comprehensive educational resource and study guide focused on distributed systems architecture and backend infrastructure design. It provides a structured curriculum for mastering the principles of scalability, reliability, and performance required to design complex software systems. The repository distinguishes itself by offering a methodical approach to technical interview preparation, incorporating design patterns, architectural trade-offs, and spaced repetition tools to help users retain complex concepts. It emphasizes constraint-driven analysis, teaching users how to ev

This project is an educational resource and technical reference for building operating systems from scratch. It provides a comprehensive guide to mastering x86 architecture and implementing core kernel components by writing code that executes directly on hardware without the support of standard libraries or operating system abstractions. The materials focus on low-level systems engineering, teaching users how to interpret technical datasheets to manage hardware resources. It covers the fundamental mechanics of bare-metal programming, including the use of assembly language to define execution

This project is a binary static analysis tool designed to recover hidden and non-standard encoded strings from compiled binaries. It functions as a malware analysis utility and string decryptor, extracting obfuscated text to reveal concealed program behavior without executing the code. The tool automates the recovery of embedded strings through a combination of emulated instruction execution and abstract syntax tree evaluation. It utilizes pattern-based heuristic detection to identify obfuscation routines and employs cross-platform binary parsing to process multiple executable formats. The s

IPAPatch is an iOS application patching and binary instrumentation tool. It is designed to inject dynamic libraries and custom frameworks into decrypted application packages to modify runtime behavior without requiring a jailbroken device. The tool functions as an external debugger interface, preparing applications to allow the setting of breakpoints and the inspection of objects in real time. It enables the integration of third-party service frameworks into existing applications to add new capabilities or specialized inspection tools. The project covers binary modification, including the pa

APKLab is an integrated security analysis platform and reverse engineering IDE for Android applications. It provides a unified environment for decompiling binaries into source code, repackaging modified applications into signed installers, and performing comprehensive security analysis. The platform distinguishes itself by combining static and dynamic analysis workflows. It enables the injection of runtime hooks and gadget libraries to monitor application behavior, while providing specialized patching capabilities to intercept and decrypt encrypted network traffic via a proxy. The toolkit co

Android Classyshark is a binary analysis toolset designed to extract structural data from Android executable files. It functions as a bytecode viewer and binary XML parser to analyze compiled Java and Android binaries. The project converts binary XML files into readable formats for the inspection of application manifests, layouts, and resource files. It also provides the ability to analyze class interfaces, members, and dependency counts without requiring access to the original source code. The toolset supports static analysis and the export of binary information into plain text formats for

Tweaks is a runtime utility interface for modifying application variables, executing debug routines, and fine-tuning visual parameters on iOS platforms. It functions as a parameter tuner and debugging tool that allows for the adjustment of app behavior without restarting the application. The project provides a dynamic configuration UI, accessible via shake gestures, to modify animation timings, colors, and logic parameters in real time. It enables the execution of global debug actions and the overwriting of hardcoded constants with values from a persistent configuration store. The system cov