elf-inspector is a set of utilities to inspect binary ELF files and collect interesting data from them. This is also a ScanCode-toolkit plugin and is also designed to work integrated in ScanCode.io for binary analysis.
To install and use:
Run
pip install elf-inspector
Scancode now has two new options:
--dwarf Collect source code path from compilation units found in ELF DWARFs. --elf Collect dependent library names needed by an ELF binary file.
Use with
scancode --json-pp - --dwarf --elf --verbose <PATH to a tree or file with ELF binaries>
The JSON output will contain various dependencies and symbols found in binaries if any.
- License: Apache-2.0
- Copyright (c) nexB Inc., AboutCode, and others.
- Homepage: https://github.com/aboutcode-orgelf-inspector/
This project is funded, supported and sponsored by:
- Generous support and contributions from users like you!
- the European Commission NGI programme
- the NLnet Foundation
- the Swiss State Secretariat for Education, Research and Innovation (SERI)
- Google, including the Google Summer of Code and the Google Seasons of Doc programmes
- Mercedes-Benz Group
- Microsoft and Microsoft Azure
- AboutCode ASBL
- nexB Inc.
This project was funded through the NGI0 Entrust Fund, a fund established by NLnet with financial support from the European Commission's Next Generation Internet programme, under the aegis of DG Communications Networks, Content and Technology under grant agreement No 101069594.
https://nlnet.nl/project/Back2source/
This project was funded through the NGI0 Core Fund, a fund established by NLnet with financial support from the European Commission's Next Generation Internet programme, under the aegis of DG Communications Networks, Content and Technology under grant agreement No 101092990.
https://nlnet.nl/project/Back2source-next/
This project was funded through the NGI0 Entrust Fund, a fund established by NLnet with financial support from the European Commission's Next Generation Internet programme, under the aegis of DG Communications Networks, Content and Technology under grant agreement No 101069594.