Python wrapper for the mmdt library
Project description
python_mmdt
python_mmdt is a python-based mmdt library implementation. This library allows you to use mmdt through python to calculate sensitive hashes.
mmdt is a sensitive hash implementation that can be used to calculate file similarity
Pre-Install
cmake
: 2.6 and abovewindows
: The current version (0.2.2) requiresminGW
to be installed on windows
Install from Pypi
$ pip install python_mmdt
Install by Whl
.whl
download from Release
$ pip install python_mmdt-xxx.whl
Usage
Command Line
# calculate mmdt sensitive
➜ mmdt-hash $file_path
# calculate file similarity
➜ mmdt-compare $file_path1 $file_path2
# use classifier to detected malicious file
➜ mmdt-classify -h
usage: python_mmdt malicious file scan tool [-h] [-s SCANS] [-t THRESHOLD]
[-c CLASSIFY_TYPE]
A malicious scanner tool based on mmdt_hash. Version 0.2.1
optional arguments:
-h, --help show this help message and exit
-s SCANS, --scans SCANS
set file/path to scan.
-t THRESHOLD, --threshold THRESHOLD
set threshold value to determine whether the file is a
malicious file. (default 0.95)
-c CLASSIFY_TYPE, --classify CLASSIFY_TYPE
set classify type.set 1 for simple classify, set 2 for
knn classify.(default 1)
Use like:
1. use simple classify
mmdt-classify -s $sample_path -t 0.95 -c 1
2. use knn classify
mmdt-classify -s $sample_path -t 0.95 -c 2
python code
# -*- coding: utf-8 -*-
import unittest
import os
from python_mmdt.mmdt.mmdt import MMDT
class Testmmdt(unittest.TestCase):
def test_process(self):
mmdt = MMDT()
test_path = os.path.dirname(__file__)
test_samples = os.path.join(test_path, "samples")
files = os.listdir(test_samples)
for f in files:
file_path = os.path.join(test_samples, f)
r1 = mmdt.mmdt_hash(file_path)
print(r1)
r2 = mmdt.mmdt_hash_streaming(file_path)
print(r2)
sim1 = mmdt.mmdt_compare(file_path, file_path)
print(sim1)
sim2 = mmdt.mmdt_compare_hash(r1, r2)
print(sim2)
Screenshot
calculate file similarity
use classifier to detected malicious file
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Hashes for python_mmdt-0.2.3-cp36-cp36m-win_amd64.whl
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