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MANTILLA

An open source tool to identify runtime libraries on statically linked Linux binaries.

MANTILLA

The original logo image can be seen here and is licensed under the terms of the CC-BY-SA-2.0

License: GPL v3

This system is part of an investigation that is currently under review. We will release the system once the review process is complete.

Installation

We recommend to install MANTILLA's dependencies with pip in a virtual environment to not mess up with your current configuration:

$ sudo apt update
$ sudo apt install python3-pip python3-venv

Create and activate your virtual environment:

$ python3 -m venv .
$ source venv/bin/activate
(venv) $ git clone https://github.com/reverseame/MANTILLA.git

Now, you can install dependencies in requirements.txt:

(venv) $ python3 -m pip install -r requirements.txt

Usage

usage: MANTILLA.py [-h] [-b BINARY] [-j JSON] [-m METRIC] [-t THRESHOLD]
                   [-k NEIGHBORS] [-f FILE_MODEL] [-d DIRECTORY]

This tool identifies the runtime library in statically linked Linux binaries.

optional arguments:
  -h, --help            show this help message and exit
  -b BINARY, --binary BINARY
                        Specify the binary to analyze
  -j JSON, --json JSON  Specify the features of a binary in JSON format
  -m METRIC, --metric METRIC
                        Specify the distance metric
  -t THRESHOLD, --threshold THRESHOLD
                        Specify the distance threshold
  -k NEIGHBORS, --neighbors NEIGHBORS
                        Specify the number of k-neighbors
  -f FILE_MODEL, --file_model FILE_MODEL
                        Specify the features model CSV file
  -d DIRECTORY, --directory DIRECTORY
                        Specify a directory with test files

To extract features from a binary:

Usage: python3 feature_extraction.py -s <source_code_path> -b <binary_file>

Options:
  -h, --help            show this help message and exit
  -s SOURCE_CODE_PATH, --source=SOURCE_CODE_PATH
                        Source code directory
  -b BINARY_FILE_PATH, --binary=BINARY_FILE_PATH
                        Binary file path
  -p PDB, --pdb=PDB     PDB file path

The datasets used to train and test the model are available at zenodo

License

Licensed under the GNU GPLv3 license.