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The python-wrapper for ssdeep

Project description

https://img.shields.io/github/license/drobotun/virustotalapi3?style=flat https://readthedocs.org/projects/pyssdeep/badge/?version=latest https://api.travis-ci.org/drobotun/pyssdeep.svg?branch=master&status=unknown https://codecov.io/gh/drobotun/pyssdeep/branch/master/graph/badge.svg?token=VHQQRO279Z

This package is a Python wrapper for ssdeep by Jesse Kornblum, which is a library for computing Context Triggered Piecewise Hashes (CTPH).

Installation

$ pip install pyssdeep

Usage

Get a fuzzy hash value for a string:

import pyssdeep

try:
    result = pyssdeep.get_hash_buffer(
        'The string for which you want to calculate a fuzzy hash'
    )
escept pyssdeep.FuzzyHashError as err:
    print(err)
except TypeError as err:
    print(err)
print('The fuzzy hash value is {}'.format(result))

Get a fuzzy hash value for a file:

import pyssdeep

try:
    result = pyssdeep.get_hash_file('e:/file.txt')
escept pyssdeep.FuzzyHashError as err:
    print(err)
except IOError as err:
    print(err)
print('The fuzzy hash value is {}'.format(result))

Get a fuzzy hash value for a file (using the pep 452 API):

import pyssdeep

buffer_size = 1024
fuzzy_hash_obj = pyssdeep.new()
with open('e:/file.txt', 'rb') as file:
    buffer = file.read(buffer_size)
    while len(buffer) > 0:
        fuzzy_hash_obj.update(buffer)
        buffer = file.read(buffer_size)
result = fuzzy_hash_obj.digest()

License

MIT Copyright (c) 2020 Evgeny Drobotun

Release hystory

1.0.0 (20.10.2020)

  • First release of ‘pyssdeep’

Project details


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