# praetorian-inc/Hob0Rules

Password cracking rules for Hashcat based on statistics and industry patterns

Repository: https://github.com/praetorian-inc/Hob0Rules
Canonical: https://ross.abutalabs.com/products/hob0rules
License Family: other
Archived: true
Last push: 2019-07-15T04:44:07+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3871, "days_push": 2606, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1533, forks 314 (observed 2026-08-28T04:04:59.571446+00:00)

## What it is
A collection of Hashcat password cracking rule files (hob064 and d3adhob0) built from password statistics and industry patterns, plus bundled wordlists. It is used with Hashcat to efficiently guess password variants when cracking hashes.

## Use cases
- crack NTLM hashes quickly during a pentest
- generate password mutation rules for hashcat
- crack passwords based on common industry patterns
- supplement wordlists with statistical password rules
- audit password strength of dumped hashes

## When to choose
- you already use Hashcat and want statistically effective mutation rules
- you need a small fast ruleset (hob064) for quick cracks or a broader one (d3adhob0) for long runs
- you are doing authorized penetration testing or password audits

## When to avoid
- you need a general-purpose password manager or generator
- you want a GUI cracking tool rather than Hashcat rule files
- you lack authorization to crack the hashes in question

## Facets
- artifact type: dataset
- maturity: maintenance
- function: security, cryptography
- domain: security, penetration-testing
- platform: cli, cross-platform
- tags: hashcat, password-cracking, ruleset, wordlists, offensive-security

## Member repositories
- praetorian-inc/Hob0Rules (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:59.571446+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 2026-08-30T04:31:16.176525+00:00, confidence not recorded.
  - readme: https://github.com/praetorian-inc/Hob0Rules (fetched 2026-08-28T04:04:59.571446+00:00, sha 6221f4b6b866)
- Data as of 2026-08-30T08:39:29.467469+00:00.