A library for extracting malware configurations across multiple frameworks
Project description
ConfigExtractor
Maintainer: @cccs-rs
Python Library for performing configuration extraction across multiple extraction frameworks (ie. Maco, MWCP, etc.). This tool is actively used in the Assemblyline project as a service.
The code found in this repository contains a command line interface that acts as a wrapper for popular malware configuration data decoders from:
- Maco: https://github.com/CybercentreCanada/Maco [MIT license]
- MWCP framework: https://github.com/Defense-Cyber-Crime-Center/DC3-MWCP [MIT license]
- CAPE Sandbox*: https://github.com/kevoreilly/CAPEv2/ [GPL license] (many thanks to @kevoreilly for releasing so many open source parsers).
- Support using an old fork but actively working on official native support with upstream!
MWCFG : https://github.com/c3rb3ru5d3d53c/mwcfg [BSD 3-Clause License]
Installation Guide
Setup YARA on Host
sudo apt-get update && sudo apt-get install -y git libssl-dev libmagic-dev automake libtool make gcc wget libjansson-dev pkg-config
export YARA_VERSION=4.1.3
wget -O /tmp/yara.tar.gz https://github.com/VirusTotal/yara/archive/v${YARA_VERSION}.tar.gz
tar -zxf /tmp/yara.tar.gz -C /tmp
cd /tmp/yara-${YARA_VERSION}
./bootstrap.sh
./configure --enable-magic --enable-dotnet --with-crypto --prefix /tmp/yara_install
make
make install
pip install --global-option="build" --global-option="--enable-dotnet" --global-option="--enable-magic" yara-python==$YARA_VERSION
Running in a Container
docker container run \
-v /path/to/parsers:/mnt/parsers \
-v /path/to/samples:/mnt/samples \
cccs/assemblyline-service-configextractor \
"cx -p /mnt/parsers -s /mnt/samples"
Usage
Command-line
You can use configextractor
or cx
to make use of the CLI:
Usage: cx [OPTIONS] PARSERS_PATH SAMPLE_PATH
Options:
--block_list TEXT Comma-delimited list of parsers to ignore
--help Show this message and exit.
Python
from configextractor.main import ConfigExtractor
import logging
# Create a logger to track ongoings
logger = logging.getLogger()
logger.handlers = [logging.StreamHandler()]
logger.setLevel('DEBUG')
# Instantiate instance of class with path(s) to extractors
# Attaching a logger will allow some insight into what's going on if parser detection is the issue
cx = ConfigExtractor(["/path/to/extractors/"], logger=logger)
# List all parsers actively detected and loaded into instance
# cx.parsers.keys() lists all the relative module paths to the parsers
# The value of each key is an Extractor object containing details for running the extractor (ie. venv location, YARA rule, etc.)
print([cx.get_details(p)['name'] for p in cx.parsers.values()])
# Run all loaded parsers against sample
results = cx.run_parsers('/path/to/sample')
# Output raw results to stdout, each should be organized by the parsers that generated an output
print(results)
Adding a new Parser Framework
- Inherit from the base
Framework
class and implement class accordingly - Add new framework to the ConfigExtractor class'
FRAMEWORK_LIBRARY_MAPPING
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