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The Wayback Machine - https://web.archive.org/web/20200928200445/https://github.com/topics/memory-dump
Here are
22 public repositories
matching this topic...
inVtero.net: A high speed (Gbps) Forensics, Memory integrity & assurance. Includes offensive & defensive memory capabilities. Find/Extract processes, hypervisors (including nested) in memory dumps using microarchitechture independent Virtual Machiene Introspection techniques
A python application designed to remotely dump RAM of a Linux client and create a volatility profile for later analysis on your local host.
Updated
Aug 26, 2020
Python
Utils use to dump android ELF from memory and do some fix including the ELF section header rebuilding
SMDA is a minimalist recursive disassembler library that is optimized for accurate Control Flow Graph (CFG) recovery from memory dumps.
Updated
Sep 7, 2020
Python
Implementation of the DIMVA 2017 publication "Quincy: Detecting Host-Based Code Injection Attacks in Memory Dumps"
Updated
Jul 31, 2017
Python
Advanced diagnostics techniques home
Code for the DIMVA 2018 paper: "MemScrimper: Time- and Space-Efficient Storage of Malware Sandbox Memory Dumps"
Yet another tool for dump mapped memory regions of process, designed to work with Android
Updated
Sep 28, 2020
Python
A simple tool that helps you run common diagnostics steps instead of battling with WinDbg.
a Forensic Script to remotely obtain information from a target machine.
Updated
Aug 22, 2019
PowerShell
💀 🔥 ❄️ A basic analyzer for memory dumps containing managed code
Incoming APRS messages parser for Yaesu VX-8DR/DE.
Updated
Feb 17, 2018
Python
Yaesu VX-8DR/DE received APRS beacons map.
Updated
Aug 11, 2017
JavaScript
Examine .Net memory dumps with F# interactive
Small Yet Flexible Logger In C
A little script to extract info out of stack traces
Updated
Jul 18, 2017
Python
A forensics challenge that was available during SigSegV2 CTF (2019)
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Modify CI setup to automatically build releases from tags/ master branch and publish them to github.
This should automatically version the product.