# Neo23x0/yarGen

yarGen is a generator for YARA rules

Repository: https://github.com/Neo23x0/yarGen
Canonical: https://ross.abutalabs.com/products/yargen
Language: Python
License: NOASSERTION
License Family: other
Topics: python, yara, malware, malware-research, malware-analysis, malwareanalysis
Last push: 2026-01-10T15:02:41+00:00

## Health v2 (maintenance only)
Score: 50/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 61, release rhythm 8, longevity 100
- inputs: {"age_days": 4631, "days_push": 235, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1811, forks 305 (observed 2026-08-28T04:05:39.582440+00:00)

## What it is
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
- artifact type: cli-tool
- maturity: abandoned
- function: security, developer-tools, parser
- domain: security, reverse-engineering
- platform: python, cli, cross-platform
- tags: yara, malware-analysis, threat-hunting, rule-generation, incident-response

## Member repositories
- Neo23x0/yarGen (main) score 50

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:39.582440+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:21:14.363611+00:00, confidence not recorded.
  - readme: https://github.com/Neo23x0/yarGen (fetched 2026-08-28T04:05:39.582440+00:00, sha f1288a11766e)
- Data as of 2026-08-30T08:39:29.467469+00:00.