Define a global entropy measurement for strings and literals
Open
Nobody has claimed this yet.
static analysis
- Dominant language
- Go
- Stars
- 912
- Forks
- 74
- PR merge metrics
- No merged PRs in 30d
Description
Entropy calculations currently use per-file character frequency counts to define the expected probabilities for each character. It would be better to measure character frequencies on a large dataset of source files and then use the same frequency counts to analyse all packages.
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
The issue does not identify files, tests, or an entry point. First locate the current per-file character-frequency calculation and determine how a shared source-file dataset would supply global frequencies; done means all packages use the same frequencies when analysing strings and literals.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- go
- Domain
- security
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 30/100