bincfg
A Python tool designed to parse analyzer outputs to produce call flow graphs (CFG), tokenize and normalize the assembly lines within those CFGs, and convert that data into ML-ready formats. We are working on novel approaches to correlate this data with event data collected at runtime.
Science Score: 52.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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✓Institutional organization owner
Organization llnl has institutional domain (software.llnl.gov) -
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○Scientific vocabulary similarity
Low similarity (7.7%) to scientific vocabulary
Keywords
Repository
A Python tool designed to parse analyzer outputs to produce call flow graphs (CFG), tokenize and normalize the assembly lines within those CFGs, and convert that data into ML-ready formats. We are working on novel approaches to correlate this data with event data collected at runtime.
Basic Info
Statistics
- Stars: 0
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- Open Issues: 0
- Releases: 2
Topics
Metadata Files
README.md
BinCFG
A Python tool designed to parse binary analyzer outputs to produce call flow graphs (CFG), tokenize and normalize the assembly lines within those CFGs, and convert that data into ML-ready formats.
Documentation
Our documentation can be found here: https://bincfg.readthedocs.io/en/latest/#
Installation
You can install BinCFG with pip:
sh
pip install bincfg
Release
LLNL-CODE-837816
Owner
- Name: Lawrence Livermore National Laboratory
- Login: LLNL
- Kind: organization
- Email: github-admin@llnl.gov
- Location: Livermore, CA, USA
- Website: https://software.llnl.gov
- Twitter: LLNL_OpenSource
- Repositories: 520
- Profile: https://github.com/LLNL
For over 70 years, the Lawrence Livermore National Laboratory has applied science and technology to make the world a safer place.
Citation (CITATION.cff)
cff-version: 1.2.0
title: BinCFG
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Justin Allen
email: glorifiedstatistics@gmail.com
affiliation: Lawrence Livermore National Laboratory
orcid: 'https://orcid.org/0009-0006-3282-2676'
repository-code: 'https://github.com/LLNL/BinCFG'
abstract: >-
A Python tool designed to parse binary analyzer outputs to
produce call flow graphs (CFG), tokenize and normalize the
assembly lines within those CFGs, and convert that data
into ML-ready formats.
keywords:
- Control Flow Graph
- Binary Analysis
- Static Analysis
- Assembly Normalization
license: MIT
version: 1.0.2
date-released: '2024-05-31'
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