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Official hashdd Python SDK

Project description


pyhashdd is a library for building and using hash databases.


With all prerequisites installed, you can install pyhashdd with pip:

pip install hashdd


Build the container from the git root:

docker build -t hashdd .

Create a directory to scan, and copy our sample.exe into it.

mkdir files_to_scan/
cp tests/data/sample.exe files_to_scan/

Mount files_to_scan/ and scan away!

docker run --rm -v "$PWD"/files_to_scan:/files_to_scan hashdd hashdd compute -d /files_to_scan



sudo apt-get install libfuzzy-dev libmhash-dev libffi-dev libssl-dev

OSX/Darwin Prerequisites

brew install ssdeep

Command Line Examples

To recusively (-d goodfiles/) calculate the SHA256 hashes of files in the goodfiles/ directory and add those hashes to a new bloom filter (the bloom filter is stored in hashdd.bloom):

hashdd bloom -d goodfiles/

With the bloom filter created, the bloom option now compares calculated hashes to the bloom. To calculate the SHA256 hash of sample.exe (-f sample.exe) and check if it is within the bloom filter (bloom):

hashdd bloom -f sample.exe

To calculate (compute) all hashes (--all) and output them to the screen:

hashdd compute -f sample.exe --all

To calculate a specific hash type:

hashdd compute -f sample.exe -a md5w

Library Examples

To hash a file using all algorithms and features, then store the results in Mongo:

>>> from hashdd import hashdd
>>> h = hashdd(filename='sample.exe')
>>> from pymongo import MongoClient
>>> db = MongoClient().hashdd
>>> db.hashes.insert_one(h.result)


python -m unittest discover -s tests/

py-mhash and mhashlib

Back in 2017 we fixed an issue in py-mhash which was merged into the git repository, however this fix was not built as part of the distribution in PyPi. Rather then rely on the package maintainer any further, we've bundled in py-mhash with hashdd. Please see the py-mash license for copyright information.

Project details

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