dex-oracle - A pattern based Dalvik deobfuscator which uses limited execution to improve semantic analysis

•    Ruby

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A pattern based Dalvik deobfuscator which uses limited execution to improve semantic analysis. Also, the inspiration for another Android deobfuscator: Simplify. Make sure adb is on your path.

reverse-engineering android malware malware-analysis malware-analyzer deobfuscation deobfuscator dex dalvik

Androl4b - A Virtual Machine For Assessing Android applications, Reverse Engineering and Malware Analysis

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AndroL4b is an android security virtual machine based on ubuntu-mate includes the collection of latest framework, tutorials and labs from different security geeks and researchers for reverse engineering and malware analysis.

mobile-security android malware-analyzer penetration-testing reverse-engineering application-security

malware-jail - Sandbox for semi-automatic Javascript malware analysis, deobfuscation and payload extraction

•    Javascript

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malware-jail is written for Node's 'vm' sandbox. Currently implements WScript (Windows Scripting Host) context env/wscript.js, at least the part frequently used by malware. Internet browser context is partialy implemented env/browser.js. Runs on any operating system. Developed and tested on Linux, Node.js v6.6.0.

malware-samples wscript deobfuscation angler malware-jail payload-extraction analysis payload malware-analysis malware-research malware-analyzer node malware jail sandbox

pafish - Pafish is a demonstration tool that employs several techniques to detect sandboxes and analysis environments in the same way as malware families do

•    C

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Pafish is a demonstration tool that employs several techniques to detect sandboxes and analysis environments in the same way as malware families do. The project is open source, you can read the code of all anti-analysis checks. You can also download the executable of the latest stable version.

malware reverse-engineering virtual-machine malware-families analysis-environments sandbox

stringsifter - A machine learning tool that ranks strings based on their relevance for malware analysis

•    Python

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StringSifter is a machine learning tool that automatically ranks strings based on their relevance for malware analysis. The pip install command installs two runnable scripts flarestrings and rank_strings into your python environment. When developing from source, use pipenv run flarestrings and pipenv run rank_strings.

machine-learning strings reverse-engineering learning-to-rank malware-analysis fireeye-flare fireeye-data-science

Malware - Course materials for Malware Analysis by RPISEC

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This repository contains the materials as developed and used by RPISEC to teach Malware Analysis at Rensselaer Polytechnic Institute in Fall 2015. This was a university course developed and run soley by students, primarily using the Practical Malware Analysis book by Michael Sikorski and Andrew Honig, to teach skills in reverse engineering, malicious behaviour, malware, and anti-analysis techniques. The Practical Malware Analysis (PMA) book is where many RPISEC members and alumn started. The book reads very well, is full of information, and the lab walkthroughs in the back are invaluable. We didn't want to re-invent the wheel so we structured most of the class around the book. Students were expected to have read the relevant PMA book chapters before class, allowing us to spend much more class time demonstrating skills and techniques and walking through hands-on examples with the students.

multiscanner - Modular file scanning/analysis framework

•    Javascript

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MultiScanner is a file analysis framework that assists the user in evaluating a set of files by automatically running a suite of tools for the user and aggregating the output. Tools can be custom built Python scripts, web APIs, software running on another machine, etc. Tools are incorporated by creating modules that run in the MultiScanner framework. Modules are designed to be quickly written and easily incorporated into the framework. Currently written and maintained modules are related to malware analytics, but the framework is not limited to that scope. For a list of modules you can look in modules/. Descriptions and config options can be found on the Analysis Modules page.

analytic-machines analysis-framework python-script scanning antivirus metadata yara malware malware-analysis malware-analyzer malware-research cuckoo

androguard - Reverse engineering, Malware and goodware analysis of Android applications

•    Python

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Androguard is a full python tool to play with Android files. Androguard + tools: Anthony Desnos (desnos at t0t0.fr).

android dalvik reverse-engineering dex

al-khaser - Public malware techniques used in the wild: Virtual Machine, Emulation, Debuggers, Sandbox detection

•    C++

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al-khaser is a PoC "malware" application with good intentions that aims to stress your anti-malware system. It performs a bunch of common malware tricks with the goal of seeing if you stay under the radar. You can download the latest release here: x86 | x64.

anti-analysis anti-debugging anti-sandbox anti-vm anti-emulation code-injection malware timing-attacks av-bypass sandbox-evasion

pwndbg - Exploit Development and Reverse Engineering with GDB Made Easy

•    Python

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Exploit Development and Reverse Engineering with GDB Made Easy

gdb peda gdbinit pwndbg reverse-engineering debugging ctf gef hack disassembler ida-pro binary-ninja defcon capture-the-flag malware malware-analysis pwnable

malcom - Malcom - Malware Communications Analyzer

•    Python

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Malcom is a tool designed to analyze a system's network communication using graphical representations of network traffic, and cross-reference them with known malware sources. This comes handy when analyzing how certain malware species try to communicate with the outside world. The aim of Malcom is to make malware analysis and intel gathering faster by providing a human-readable version of network traffic originating from a given host or network. Convert network traffic information to actionable intelligence faster.

malware network-traffic pcap threat-intelligence malware-analysis infosec dfir

theZoo - A repository of LIVE malwares for your own joy and pleasure

•    Python

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theZoo is a project created to make the possibility of malware analysis open and available to the public. Since we have found out that almost all versions of malware are very hard to come by in a way which will allow analysis, we have decided to gather all of them for you in an accessible and safe way. theZoo was born by Yuval tisf Nativ and is now maintained by Shahak Shalev. theZoo's purpose is to allow the study of malware and enable people who are interested in malware analysis (or maybe even as a part of their job) to have access to live malware, analyse the ways they operate, and maybe even enable advanced and savvy people to block specific malware within their own environment.

malware malware-analysis malware-samples

rvmi - rVMI - A New Paradigm For Full System Analysis

•    C

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rVMI is a debugger on steroids. It leverages Virtual Machine Introspection (VMI) and memory forensics to provide full system analysis. This means that an analyst can inspect userspace processes, kernel drivers, and pre-boot environments in a single tool. It was specifically designed for interactive dynamic malware analysis. rVMI isolates itself from the malware by placing its interactive debugging environment out of the virtual machine (VM) onto the hypervisor-level. Through the use of VMI the analyst still has full control of the VM, which allows her to pause the VM at any point in time and to use typical debugging features such as breakpoints and watchpoints. In addition, rVMI provides access to the entire Rekall feature set, which enables an analyst to inspect the kernel and its data structures with ease.

peframe - PEframe is a open source tool to perform static analysis on (portable executable) malware.

•    Python

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PEframe is a open source tool to perform static analysis on Portable Executable malware and generic suspicious file. It can help malware researchers to detect packer, xor, digital signature, mutex, anti debug, anti virtual machine, suspicious sections and functions, and much more information about the suspicious files. Documentation will be available soon.

awesome-malware-analysis - A curated list of awesome malware analysis tools and resources.

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A curated list of awesome malware analysis tools and resources. Inspired by awesome-python and awesome-php. View Chinese translation: 恶意软件分析大合集.md.

malware-analysis awesome awesome-list list malware-samples analysis-framework dynamic-analysis static-analysis threat-intelligence automated-analysis domain-analysis network-traffic threatintel malware-collection malware-research threat-sharing chinese-translation chinese

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

•    YARA

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APKiD gives you information about how an APK was made. It identifies many compilers, packers, obfuscators, and other weird stuff. It's PEiD for Android. You can also run APKiD with Docker! Of course, this requires that you have git and Docker installed.

android machine-learning antivirus malware-analysis malware-research yara packers malware-detection rasp yara-forensics android-protect-apps android-protection appshielding

Mobile-Security-Framework-MobSF - Mobile Security Framework is an automated, all-in-one mobile application (Android/iOS/Windows) pen-testing framework capable of performing static analysis, dynamic analysis, malware analysis and web API testing

•    Python

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Mobile Security Framework (MobSF) is an automated, all-in-one mobile application (Android/iOS/Windows) pen-testing framework capable of performing static, dynamic and malware analysis. It can be used for effective and fast security analysis of Android, iOS and Windows mobile applications and support both binaries (APK, IPA & APPX ) and zipped source code. MobSF can do dynamic application testing at runtime for Android apps and has Web API fuzzing capabilities powered by CapFuzz, a Web API specific security scanner. MobSF is designed to make your CI/CD or DevSecOps pipeline integration seamless. Your generous donations will keep us motivated.

static-analysis dynamic-analysis mobsf android-security mobile-security windows-mobile-security ios-security mobile-security-framework api-testing web-security malware-analysis runtime-security ci-cd devsecops apk ipa

ThreatPursuit-VM - Threat Pursuit Virtual Machine (VM): A fully customizable, open-sourced Windows-based distribution focused on threat intelligence analysis and hunting designed for intel and malware analysts as well as threat hunters to get up and running quickly

•    PowerShell

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Using Oracle Virtualbox as the virtualisation software running from a Windows 10 physical host, will cause issues with the Docker install. There is currently no workaround other than using VMware Player or VMware Workstation.

data-science intelligence analytics virtual-machine malware threat cyber fireeye intelligence-analysis mandiant threatintelligence threathunting

gef - GEF - GDB Enhanced Features for exploit devs & reversers

•    Python

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GEF is a kick-ass set of commands for X86, ARM, MIPS, PowerPC and SPARC to make GDB cool again for exploit dev. It is aimed to be used mostly by exploiters and reverse-engineers, to provide additional features to GDB using the Python API to assist during the process of dynamic analysis and exploit development. It has full support for both Python2 and Python3 indifferently (as more and more distros start pushing gdb compiled with Python3 support).

exploit gdb reverse-engineering ctf ida-pro binary-ninja pwn exploit-development malware malware-research debugging

gym-malware

•    Python

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This is a malware manipulation environment for OpenAI's gym. OpenAI Gym is a toolkit for developing and comparing reinforcement learning algorithms. This makes it possible to write agents that learn to manipulate PE files (e.g., malware) to achieve some objective (e.g., bypass AV) based on a reward provided by taking specific manipulation actions. Create an AI that learns through reinforcement learning which functionality-preserving transformations to make on a malware sample to break through / bypass machine learning static-analysis malware detection.