binary-inspector is a utility to extract symbols from various kinds of binaries, i.e. ELF, Mach-O, WinPE and other binary formats. It is designed to work as a ScanCode Toolkit plugin and integrated in ScanCode.io pipelines.
To install run pip install binary-inspector and use with:
scancode --json-pp - --macho-symbol --winpe-symbol --verbose <PATH to a tree or file with binaries>
The JSON output will contain binary symbols found in binaries if any.
License: Apache-2.0 AND MIT
Copyright (c) nexB Inc., AboutCode, OWASP Foundation and others.
Development
Install requirements and dependencies using ./configure --clean && ./configure --dev
Then source venv/bin/activate
Testing:
To run tests: pytest -vvs
To regen test fixtures: SCANCODE_REGEN_TEST_FIXTURES=yes pytest -vvs
Acknowledgements, Funding, Support and Sponsoring
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 also uses some functions from other packages:
symbolic (https://pypi.org/project/symbolic/)
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.
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.
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.
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