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ssdeep based clustering tool

Project README

ssdeep Cluster

ssdeep Cluster clusters files using ssdeep as a comparison algorithm. Results are written out to a tar file, which puts the files into a directory with the files its comparable to. A file can be in multiple groups. I have found this tool to be helpful when needing to analyze a large number of samples, with an ever decreasing amount of time to do it in.

Included in the resulting tar file is a .gexf file. This can be used to visualize the results in Gephi.

Installation

git clone https://github.com/bwall/ssdc.git
cd ssdc
sudo python setup.py install

Examples

help

bwall@highwind:~$ ssdc -h
usage: ssdc [-h] [-v] [-r] [-o [output]] [-s] [-d] path [path ...]

Clusters files based on their ssdeep hash

positional arguments:
  path                  Paths to files or directories to scan

optional arguments:
  -h, --help            show this help message and exit
  -v, --version         show program's version number and exit
  -r, --recursive       Scan paths recursively
  -o [output], --output [output]
                        Path to write the resulting tarball to
                        (default=output.tar)
  -s, --storefiles      Store files in output tar
  -d, --dontcompute     Treat input as ssDeep hashes

ssdc v1.2.0 by Brian Wallace (@botnet_hunter)
Open Source Agenda is not affiliated with "Ssdc" Project. README Source: bwall/ssdc
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Last Commit
1 year ago
License
MIT

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