Neo23x0/yarGen
yarGen is a generator for YARA rules observed · 2026-08-28
Health v2 · maintenance only
50/100
- Activity 61
- Release rhythm 8
- Longevity 100
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 4631
- days_rel: n/a
- days_push: 235
- n_releases_24m: 0
Adoption not part of the score
1811 stars · 305 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
yarGen is a Python CLI tool that generates YARA rules from strings found in malware samples, filtering out strings that appear in a large included goodware database. It also supports opcode extraction from PE files and an AI-assisted rule refinement output mode.
Use cases
- generate yara rules from malware samples
- create detection signatures for new malware families
- filter goodware strings when writing yara rules
- extract opcodes from pe files for yara detection
- automate yara rule creation during incident response
When to avoid
- you want an actively maintained tool - the project is marked Not Maintained and succeeded by yarGen-Go
- you need non-string-based or behavioral detection logic
- you cannot post-process rules manually, since generated rules require refinement
Facets
cli-tool · maturity abandoned
security developer-tools parser security reverse-engineering python cli cross-platform yara malware-analysis threat-hunting rule-generation incident-response
1 source
- readme: https://github.com/Neo23x0/yarGen · fetched 2026-08-28 · f1288a11766e
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Neo23x0/yarGen | main | 50 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem