
Mobile-Security-Framework-MobSF
Automated mobile application security testing framework for Android, iOS, and Windows. Performs static and dynamic analysis, malware detection, and…

Automated mobile application security testing framework for Android, iOS, and Windows. Performs static and dynamic analysis, malware detection, and…

0-day malware detection for binaries, source & scripts (that doesn't suck)

The reverse-engineering expert agent: plans its own analysis path, derives every fact from raw evidence, and converges under mechanical verification…

This page is a result of the ongoing hands-on research around advanced Linux attacks, detection and forensics techniques and tools.

Django application that performs SAST and Malware Analysis for Android APKs

Shell script to detect TanStack npm supply chain attack indicators (CVE-2026-45321 / GHSA-g7cv-rxg3-hmpx)

This repository contains the complete record of my three-year research journey, covering the project from foundational concepts to advanced-level…

😎 🔗 Awesome list about all kinds of resources for learning Ethical Hacking and Penetration Testing.

MCP server for reverse engineering Windows executables and binary formats. Combines static triage, Ghidra-assisted function recovery, plugin-driven…

Ghidra is a software reverse engineering (SRE) framework

Defensive framework that maintains a safety-focused shadow memory to detect and block prompt-injection and long-horizon threats against LLM agents…

Workshop on firmware reverse engineering

This project is a SIEM with SIRP and Threat Intel, all in one.

Cybersecurity oriented awesome list

Android Application Identifier for Packers, Protectors, Obfuscators and Oddities - PEiD for Android

Provides supplemental files and Debian package sources for a specialized Linux distro focused on malware analysis, reverse engineering, and digital…

Walk any memory dump. Find what's hidden. Linux + Windows kernel forensics from a single static Rust binary — no Python required.

FLARE floss applied to all unpacked+dumped samples in Malpedia, pre-processed for further use.