A universal memory dumper using Frida

Related tags

Deep Learningfridump
Overview

Fridump

Fridump (v0.1) is an open source memory dumping tool, primarily aimed to penetration testers and developers. Fridump is using the Frida framework to dump accessible memory addresses from any platform supported. It can be used from a Windows, Linux or Mac OS X system to dump the memory of an iOS, Android or Windows application.

Usage

How to:

  fridump [-h] [-o dir] [-U] [-v] [-r] [-s] [--max-size bytes] process

The following are the main flags that can be used with fridump:

  positional arguments:
  process            the process that you will be injecting to

  optional arguments:
  -h, --help         show this help message and exit
  -o dir, --out dir  provide full output directory path. (def: 'dump')
  -U, --usb          device connected over usb
  -v, --verbose      verbose
  -r, --read-only    dump read-only parts of memory. More data, more errors
  -s, --strings      run strings on all dump files. Saved in output dir.
  --max-size bytes   maximum size of dump file in bytes (def: 20971520)

To find the name of a local process, you can use:

  frida-ps

For a process that is running on a USB connected device, you can use:

  frida-ps -U

Examples:

  fridump -U Safari   -   Dump the memory of an iOS device associated with the Safari app
  fridump -U -s com.example.WebApp   -  Dump the memory of an Android device and run strings on all dump files
  fridump -r -o [full_path]  -  Dump the memory of a local application and save it to the specified directory

More examples can be found here

Installation

To install Fridump you just need to clone it from git and run it:

  git clone https://github.com/Nightbringer21/fridump.git
        
  python fridump.py -h

Pre-requisites

To use fridump you need to have frida installed on your python environment and frida-server on the device you are trying to dump the memory from. The easiest way to install frida on your python is using pip:

pip install frida

More information on how to install Frida can be found here

For iOS, installation instructions can be found here.

For Android, installation instructions can be found here.

Note: On Android devices, make sure that the frida-server binary is running as root!

Disclaimer

  • This is version 0.1 of the software, so I expect some bugs to be present
  • I am not a developer, so my coding skills might not be the best

This tool has been tested on a Windows 7 and a Mac OS X laptop, dumping the memory of:

  • an iPad Air 2 running iOS 8.2
  • a Galaxy Tab running Cyanogenmod 4.4.4
  • a Windows 7 laptop.

Therefore, if this tool is not working for you, I apologise and I will try to fix it.

Any suggestions and comments are welcome!

Build Low Code Automated Tensorflow, What-IF explainable models in just 3 lines of code.

Build Low Code Automated Tensorflow explainable models in just 3 lines of code.

Hasan Rafiq 170 Dec 26, 2022
The aim of the game, as in the original one, is to find a specific image from a group of different images of a person's face

GUESS WHO Main Links: [Github] [App] Related Links: [CLIP] [Celeba] The aim of the game, as in the original one, is to find a specific image from a gr

Arnau - DIMAI 3 Jan 04, 2022
Robust Lane Detection via Expanded Self Attention (WACV 2022)

Robust Lane Detection via Expanded Self Attention (WACV 2022) Minhyeok Lee, Junhyeop Lee, Dogyoon Lee, Woojin Kim, Sangwon Hwang, Sangyoun Lee Overvie

Min Hyeok Lee 18 Nov 12, 2022
Code for a real-time distributed cooperative slam(RDC-SLAM) system for ROS compatible platforms.

RDC-SLAM This repository contains code for a real-time distributed cooperative slam(RDC-SLAM) system for ROS compatible platforms. The system takes in

40 Nov 19, 2022
Politecnico of Turin Thesis: "Implementation and Evaluation of an Educational Chatbot based on NLP Techniques"

THESIS_CAIRONE_FIORENTINO Politecnico of Turin Thesis: "Implementation and Evaluation of an Educational Chatbot based on NLP Techniques" GENERATE TOKE

cairone_fiorentino97 1 Dec 10, 2021
Statistical and Algorithmic Investing Strategies for Everyone

Eiten - Algorithmic Investing Strategies for Everyone Eiten is an open source toolkit by Tradytics that implements various statistical and algorithmic

Tradytics 2.5k Jan 02, 2023
DyNet: The Dynamic Neural Network Toolkit

The Dynamic Neural Network Toolkit General Installation C++ Python Getting Started Citing Releases and Contributing General DyNet is a neural network

Chris Dyer's lab @ LTI/CMU 3.3k Jan 06, 2023
Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning

MSVCL_MICCAI2021 Installation Please follow the instruction in pytorch-CycleGAN-and-pix2pix to install. Example Usage An example of vendor-styles tran

Jaron Lee 11 Oct 19, 2022
Official PyTorch Implementation of paper "Deep 3D Mask Volume for View Synthesis of Dynamic Scenes", ICCV 2021.

Deep 3D Mask Volume for View Synthesis of Dynamic Scenes Official PyTorch Implementation of paper "Deep 3D Mask Volume for View Synthesis of Dynamic S

Ken Lin 17 Oct 12, 2022
Redash reset for python

redash-reset This will use a default REDASH_SECRET_KEY key of c292a0a3aa32397cdb050e233733900f this allows you to reset the password of the user ID bu

Robert Wiggins 5 Nov 14, 2022
Fermi Problems: A New Reasoning Challenge for AI

Fermi Problems: A New Reasoning Challenge for AI Fermi Problems are questions whose answer is a number that can only be reasonably estimated as a prec

AI2 15 May 28, 2022
Use AI to generate a optimized stock portfolio

Use AI, Modern Portfolio Theory, and Monte Carlo simulation's to generate a optimized stock portfolio that minimizes risk while maximizing returns. Ho

Greg James 30 Dec 22, 2022
Deepparse is a state-of-the-art library for parsing multinational street addresses using deep learning

Here is deepparse. Deepparse is a state-of-the-art library for parsing multinational street addresses using deep learning. Use deepparse to Use the pr

GRAAL/GRAIL 192 Dec 20, 2022
The Turing Change Point Detection Benchmark: An Extensive Benchmark Evaluation of Change Point Detection Algorithms on real-world data

Turing Change Point Detection Benchmark Welcome to the repository for the Turing Change Point Detection Benchmark, a benchmark evaluation of change po

The Alan Turing Institute 85 Dec 28, 2022
SimplEx - Explaining Latent Representations with a Corpus of Examples

SimplEx - Explaining Latent Representations with a Corpus of Examples Code Author: Jonathan Crabbé ( Jonathan Crabbé 14 Dec 15, 2022

Machine learning, in numpy

numpy-ml Ever wish you had an inefficient but somewhat legible collection of machine learning algorithms implemented exclusively in NumPy? No? Install

David Bourgin 11.6k Dec 30, 2022
Styled Augmented Translation

SAT Style Augmented Translation Introduction By collecting high-quality data, we were able to train a model that outperforms Google Translate on 6 dif

139 Dec 29, 2022
A simple Python configuration file operator.

A simple Python configuration file operator This project provides a common way to read configurations using config42. Installation It is possible to i

Scott Lau 2 Nov 08, 2021
Pytorch Lightning Distributed Accelerators using Ray

Distributed PyTorch Lightning Training on Ray This library adds new PyTorch Lightning plugins for distributed training using the Ray distributed compu

167 Jan 02, 2023
PyTorch implementation of ShapeConv: Shape-aware Convolutional Layer for RGB-D Indoor Semantic Segmentation.

Shape-aware Convolutional Layer (ShapeConv) PyTorch implementation of ShapeConv: Shape-aware Convolutional Layer for RGB-D Indoor Semantic Segmentatio

Hanchao Leng 82 Dec 29, 2022