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Compiles a json dataset using public sources that contains properties to aid in the detection and mitigation of over 1000 variants of ransomware.

Python 100.00%
ransomware security dataset-generation security-hardening ransomware-prevention excel-to-json security-audit security-vulnerability mitigation json

ransomware-json-dataset's Introduction

Ransomware-Json-Dataset

Compiles a json dataset containing properties to aid in the detection and mitigation of over 1000 variants of ransomware using public sources.

Build Status License Python 3.2|3.6 Twitter

Install Dependencies

pip install -r requirements.txt

Run Updater

python ./UpdateJsonDataset/update_json.py

The latest version of the Ransomware Summary spreadsheet will then be downloaded and processed into a local json output which will be found in the core folder of your local repository along with a copy of the latest version of the spreadsheet. To change the source and destinations for local files edit the constants found in the header of the 'update_json.py' file.

Attribution / Credits

JSON dataset work is based upon the Ransomware Summary public spreadsheet that is managed by the many efforts of Mosh (@nyxbone) and @cyb3rops and can be found at: http://goo.gl/b9R8DE. Spreadsheet data remains the intellectual property of Mosh and is taken 'as-is' and processed into a more programming friendly JSON output to allow its use in various shell or programming operations. Spreadsheet is cloned within this repository for redundancy purposes.

ransomware-json-dataset's People

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ransomware-json-dataset's Issues

Improve variable naming

Variables like sh, mw, rowe are very close to being meaningless. Also replace wb with a more explicit workbook

Implement ujson for speed improvements

ujson has proven speed advantages over simplejson. To be tested for speed.

Test cases:

  • Does functionality and structure of hte *.json remain the same?
  • Is there a notable improvement to performance?

Resolve multiple indexes with row_values

excel_to_json is accessing the same values from row_values by index multiple times. Defining intermediate variables (e.g. defining name = row_values[6] and using name variable later on) and avoiding accessing an element by index more than once might have a positive impact

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