Giter Club home page Giter Club logo

rifiuti2's Introduction

Appveyor Travis
Appveyor status Travis status

Introduction

Rifiuti2 is a for analyzing Windows Recycle Bin INFO2 file. Analysis of Windows Recycle Bin is usually carried out during Windows computer forensics. Rifiuti2 can extract file deletion time, original path and size of deleted files and whether the trashed files have been permanently removed.

For those interested in what it does, and what functionality it provides, please check out official site for more info. Latest features and changes can be found in NEWS file.

Special note for 0.7.0

  • Windows binaries will be automatically built from Appveyor and published to Github.
  • Systems supporting UTF-8 encoding is mandatory, except on Windows console (file output is also in UTF-8). This shouldn't be problematic though, as UTF-8 locale is pretty much standard for Linux and macOS these years. On Windows front, there are already many featureful text editors capable of opening UTF-8 unicode text files.
  • As a result, -8 option is obsolete and no more affects output in any way.

Usage

rifiuti2 is designed to be portable, and runs on command line environment. Depending on relevant Windows recycle bin format, there are 2 binaries to choose from (most users would want first one):

Program Recycle bin from OS Purpose
rifiuti-vista Vista โ€“ Win10 Scans \$Recycle.bin style folder
rifiuti Win95 โ€“ XP/2003 Reads INFO or INFO2 file in \RECYCLED or \RECYCLER folder

Run programs without any option for more detail. Here are some more frequently used options:

Option Purpose
-o <FILE> Output to file
-x Output XML instead of tab-separated fields
-l <CP> Display legacy (8.3) filenames and specify its codepage

Please consult manpage (Unix) or README.html (bundled with Windows binaries) for complete options and detailed usage description.

Examples

  • rifiuti-vista.exe -x -z -o result.xml \case\S-1-2-3\

Scan for index files under \case\S-1-2-3\, adjust all deletion time for local time zone, and write XML output to result.xml

  • rifiuti -l CP932 -t "\n" INFO2

Assume INFO2 file is generated from Japanese Windows (codepage 932), and display each field line by line, instead of separated by tab

Supported platform

It has been tested on Linux, Windows 7 and FreeBSD. Some testing on big endian platforms are done with Qemu emulator. More compatibility fix for other architectures welcome.

Download

Windows

Windows binaries are officially provided on Github release page.

Note that 0.6.1 version is the last version that can run on Windows XP and 2003; upcoming versions would require Vista or above.

Linux

FreeBSD

Official FreeBSD port is available since 8.4.

Others (Compile from source)

For OS where rifiuti2 is not readily available, it is always possible to compile from source.

rifiuti2 follows the usual autotools based procedure:

./configure && make check && make install

Please refer to wiki page for more detail.

License

rifiuti2 is released under BSD license. Please refer to license file for more detail.

rifiuti2's People

Contributors

abelcheung avatar anthonywong 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.