234 Open source projects that are alternatives of or similar to Penet

Tools for mangling Mach-O and PE binaries

JITM is an automated tool to bypass the JIT Hooking protection on a .NET sample.

COFF and Portable Executable format described using standard C++ with no dependencies.

Android security & privacy analysis for the masses

Symbol hash for ELF files

PE (x86) and PE+ (x64) files viewer, based on libpe.

Import DynamoRIO drcov code coverage data into Ghidra

Run Any Native PE file as a memory ONLY Payload , most likely as a shellcode using hta attack vector which interacts with Powershell.

AssemblyLine 4 - File triage and malware analysis

My personal Automated Malware Analysis Sandboxes and Services

BONOMEN - Hunt for Malware Critical Process Impersonation

A Windows PE format file loader

⛔🛡️ WeDefend - Monitor and Protect Windows from Remote Access Trojan

Drltrace is a library calls tracer for Windows and Linux applications.

Static and dynamic Android application security analysis

Python tool and library to help analyze files during malware triage and analysis.

Malware Machine Learning

Final project for the M.Sc. in Engineering in Computer Science at Università degli Studi di Roma "La Sapienza" (A.Y. 2016/2017).

Write-ups for FireEye's FLARE-On challenges

Owlyshield is an EDR framework designed to safeguard vulnerable applications from potential exploitation (C&C, exfiltration and impact))..

Malware hashes for open source projects.

Most advanced factions plugin for PocketMine-MP

Extract OLEv1 objects from RTF files by instrumenting Word

Patch PE, ELF, Mach-O binaries with shellcode new version in development, available only to sponsors

Debian packaging of Linux Malware Detect (https://github.com/rfxn/linux-malware-detect)

Search for code cave in all binaries

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

Collection of malware persistence and hunting information. Be a persistent persistence hunter!

Cuckoo Sandbox Dockerfile

A bridge/proxy allowing you to connect to Minecraft: Java Edition servers with Minecraft: Bedrock Edition.

Windows kernel and user mode emulation.

Resources About Windows Security. 1100+ Open Source Tools. 3300+ Blog Post and Videos.

A tool to help malware analysts signature unique parts of RTF documents

Library to read and edit files in the following formats: Executable and Linking Format (ELF), Portable Executable (PE), MachO and OAT (Android Runtime)

Emulate and Dissect MSF and *other* attacks

Hybrid mode plugin to allow for connections from Geyser to join online mode servers.

A Simple PE File Heuristics Scanners

PEiD detects most common packers, cryptors and compilers for PE files.

Community modules for FAME

Windows-only native addon to read version info from executables.

An ICAP Server with yara scanner for URL and content.

Reflective PE packer.

Malice Yara Plugin

A tool to help you write binary exploits

Simpleator ("Simple-ator") is an innovative Windows-centric x64 user-mode application emulator that leverages several new features that were added in Windows 10 Spring Update (1803), also called "Redstone 4", with additional improvements that were made in Windows 10 October Update (1809), aka "Redstone 5".

Portable Executable parsing library (from PE-bear)

The Cross Platform AutoIt Extractor

An open source script to perform malware static analysis on Portable Executable

One of the few malware collection

Vba2Graph - Generate call graphs from VBA code, for easier analysis of malicious documents.

A Binary Genetic Traits Lexer Framework

Simple No-meaning Assembly Omitter for IDA Pro (This is just a prototype)

Analysis of file (doc, pdf, exe, ...) in deep (emmbedded file(s)) with clamscan and yara rules

FinSpy for Android technical analysis and tools

Binary instrumentation framework based on FRIDA

🐺 Malware analysis platform

🐺 Malware analysis platform

small Windows 10 (based on Windows PE) with customised tools

The repository contains the python implementation of the Android Malware Detection paper: "Empirical assessment of machine learning-based malware detectors for Android: Measuring the Gap between In-the-Lab and In-the-Wild Validation Scenarios"

Information Security Library