Improve PyPI malware detector to reduce false positives
Open
Nobody has claimed this yet.
checks
enhancement
- Dominant language
- Python
- Stars
- 210
- Forks
- 36
- Avg merge
- 1d 10h
- Merged PRs (30d)
- 2
Description
Currently, the PyPI malware detector using seven heuristics generates a high number of false positives.
To enhance the accuracy of our detection, I suggest extending the check to
further confirm malicious behavior within the entire source code and highlight suspicious code blocks.
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 locating the PyPI malware detector and reviewing how its seven heuristics currently classify source code. Define measurable false-positive behavior and how suspicious code blocks should be highlighted; the issue names no files, tests, or acceptance criteria, so these must be established before implementation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- security
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100