dynamic: create and analyze results for benign NSRL samples
Open
Nobody has claimed this yet.
dynamic
enhancement
- Dominant language
- Python
- Stars
- 6.2k
- Forks
- 726
- Avg merge
- 11d 11h
- Merged PRs (30d)
- 7
Description
https://www.nist.gov/itl/ssd/software-quality-group/national-software-reference-library-nsrl
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the NSRL page linked in the issue and capa's existing dynamic-analysis workflow. The issue names no files, tests, entry points, or acceptance criteria, so first establish where benign NSRL samples should be created and analyzed; done should include reproducible results and a documented way to verify them.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- reverse-engineering, testing-qa
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100