Coder Social home page Coder Social logo

sima456 / acquire Goto Github PK

View Code? Open in Web Editor NEW

This project forked from fox-it/acquire

0.0 0.0 0.0 153 KB

acquire is a tool to quickly gather forensic artifacts from disk images or a live system into a lightweight container.

License: GNU Affero General Public License v3.0

Python 100.00%

acquire's Introduction

Acquire

acquire is a tool to quickly gather forensic artifacts from disk images or a live system into a lightweight container. This makes acquire an excellent tool to, among others, speedup the process of digital forensic triage. It uses dissect to gather that information from the raw disk, if possible.

acquire gathers artifacts based on modules. These modules are paths or globs on a filesystem which acquire attempts to gather. Multiple modules can be executed at once, which have been collected together inside a profile. These profiles (used with --profile) are full, default, minimal and none. Depending on what operating system gets detected, different artifacts are collected.

The most basic usage of acquire is as follows:

user@dissect~$ sudo acquire

The tool requires administrative access to read raw disk data instead of using the operating system for file access. However, there are some options available to use the operating system as a fallback option. (e.g --fallback or --force-fallback)

For more information, please see the documentation.

Installation

acquire is available on PyPI.

pip install acquire

Build and test instructions

This project uses tox to build source and wheel distributions. Run the following command from the root folder to build these:

tox -e build

The build artifacts can be found in the dist/ directory.

tox is also used to run linting and unit tests in a self-contained environment. To run both linting and unit tests using the default installed Python version, run:

tox

For a more elaborate explanation on how to build and test the project, please see the documentation.

Contributing

The Dissect project encourages any contribution to the codebase. To make your contribution fit into the project, please refer to the style guide.

Copyright and license

Dissect is released as open source by Fox-IT (https://www.fox-it.com) part of NCC Group Plc (https://www.nccgroup.com).

Developed by the Dissect Team ([email protected]) and made available at https://github.com/fox-it/acquire.

License terms: AGPL3 (https://www.gnu.org/licenses/agpl-3.0.html). For more information, see the LICENSE file.

acquire's People

Contributors

cecinestpasunepipe avatar horofic avatar miauwkeru avatar poeloe avatar pyrco avatar schamper avatar tobraha avatar zawadidone avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.