r2ai

R2AI - Reversing potenziato con LLM per radare2 ╭─────────────────────────────────╮ │ , . . , │ ╭──╮ │ : \ \ |: \ : | │ │ │ │ | |/ || , || : | │ │ O O | : \ \ . || : || | │ │ │╷ │ | |\ :||| || | │ │ ││ │ || : |||| │ │ ─╯│ ╰─────────────────────────────────╯ ╰───╯ Componenti Questo repository...

androguard

Androguard Androguard: Reverse engineering and pentesting for Android applications Androguard 5 is a Python toolkit for Android reverse engineering: open an APK, inspect the manifest and DEX, disassemble or decompile code, hunt references and vulnerabilities, and optionally patch or analyze nativ...

ghidrecomp

Ghidrecomp - Decompilatore Ghidra da riga di comando Informazioni Questo strumento Python da riga di comando decompila tutte le funzioni di un binario e le scrive in una directory in file C separati:mermaid flowchart LR afilename -- bghidrecomp a2Symbol Server -- b b -- eGhidra Project Files b --...

haruspex

haruspex "Hacking is the discipline of questioning all your assumptions all of the time." -- Dave Aitel Haruspex is a blazing-fast IDA headless plugin that extracts pseudocode generated by IDA's decompiler in a format that should be suitable to be imported into an IDE, or parsed by static analysi...

droid-hunter

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r2ai v1.4.4

R2AI - Augmented reversing with LLM for radare2 ╭─────────────────────────────────╮ │ , . . , │ ╭──╮ │ : \ \ |: \ : | │ │ │ │ | |/ || , || : | │ │ O O | : \ \ . || : || | │ │ │╷ │ | |\ :||| || | │ │ ││ │ || : |||| │ │ ─╯│ ╰─────────────────────────────────╯ ╰───╯ Components This repository...

akamai-vm-reverse

akamai-vm-reverse 反编译并清理过的 Akamai v3 VM，驱动最新的 sensordata 挑战脚本...

aotopsy v1.1.0

AOTopsy A Dart AOT snapshot analyzer. Turns libapp.so — the compiled Dart code inside a Flutter release APK — into function names, class layouts, call graphs, behavioral signals, and readable pseudocode. No Dart VM, no SDK compilation, no runtime fallback. Fork notice: AOTopsy is a fork of...

androidReverse v20

Android Reverse A reverse engineering suite that runs entirely on Android. No PC, no ADB, no desktop tools — everything from APK extraction to native binary analysis happens on-device. MCP Server androidReverse includes a built-in Model Context Protocol server, allowing MCP-compatible AI clients ...

Decoupling Is a Necessity: Transformation-Agnostic Decompiled Code Recovery under Optimization and Obfuscation

Reverse engineering is essential for software security analysis and vulnerability detection. Decompilation, the process of lifting binaries to high-level pseudocode, is central to this task. However, production binaries are hostile environments: aggressive compiler optimizations and adversarial...

hermes-decomp v0.2.2

Rust decompiler for Hermes bytecode .hbc, the JS engine behind React Native. Supports HBC 40 to 99. Install Pre-built binaries Linux / macOS / Windows from Releases or Actions: Asset suffix| Platform ---|--- linux-x8664 / linux-arm64| Linux macos-arm64 / macos-x8664| macOS windows-x8664| Windows...

Statistical Analysis of Executability and Program Equivalence in Decompilation for IoT Vulnerability Detection

Internet of Things IoT devices handle sensitive privacy-related information such as user audio, video, and authentication data, making it essential to detect vulnerabilities in their firmware. Decompilation, a key detection technique, has recently attracted attention because Large Language Models...

angr v9.3.0

angr angr is a platform-agnostic binary analysis framework. It is brought to you by the Computer Security Lab at UC Santa Barbara, SEFCOM at Arizona State University, their associated CTF team, Shellphish, the open source community, and @rhelmot. Project Links Homepage: https://angr.io Project...

Binary Decompilation LLM with Feedback-Driven Multi-Turn Refinement

Binary decompilation is fundamental to security tasks such as vulnerability discovery, malware inspection, and executable-only program understanding. Recent LLM-based decompilation methods have shown promising results, but most still follow a single-turn generation paradigm: given assembly code o...

CVE-2026-10557

The Yarbo Android and iOS applications contain hard-coded MQTT broker credentials that are identical for all users and all devices. These credentials are embedded in the application binary and are readily extractable via APK decompilation. The credentials provide access to cloud MQTT brokers...

EUVD-2026-36434

The Yarbo Android and iOS applications contain hard-coded MQTT broker credentials that are identical for all users and all devices. These credentials are embedded in the application binary and are readily extractable via APK decompilation. The credentials provide access to cloud MQTT brokers...

CVE-2026-52757 Ghidra < 12.1 - Heap-use-after-free in HighVariable::merge() during decompilation

Ghidra before 12.1 contains a heap-use-after-free vulnerability in the decompiler's HighVariable::merge function during the variable merging pass. Attackers can trigger this vulnerability by crafting a binary that causes stale pointers in the HighIntersectTest::highedgemap cache to be dereference...

Automatically Attacking Software Reverse Engineering AI Agents

Software tools for reverse engineering executable binary files, such as Ghidra, enable malware analysts to safely conduct robust static analysis without having access to original source code. Coupled with the analytic power of large language models LLM, agentic systems enabled with tools, such as...

Constraint-Guided Multi-Agent Decompilation for Executable Binary Recovery

Decompilation -- recovering source code from compiled binaries -- is essential for security analysis, malware reverse engineering, and legacy software maintenance. However, existing decompilers produce code that often fails to compile or execute correctly, limiting their practical utility. We...

LLM4CodeRE: Generative AI for Code Decompilation Analysis and Reverse Engineering

Code decompilation analysis is a fundamental yet challenging task in malware reverse engineering, particularly due to the pervasive use of sophisticated obfuscation techniques. Although recent large language models LLMs have shown promise in translating low-level representations into high-level...