# tobiabocchi/flipperzero-bruteforce

Brute force subghz fixed codes using flipper zero

Repository: https://github.com/tobiabocchi/flipperzero-bruteforce
Canonical: https://ross.abutalabs.com/products/flipperzero-bruteforce
Language: Python
License Family: other
Last push: 2024-07-12T16:52:11+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1491, "days_push": 782, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2512, forks 164 (observed 2026-08-28T04:06:57.455396+00:00)

## What it is
A Python script that generates .sub files for brute-forcing fixed OOK code subghz protocols using a Flipper Zero device. It supports multiple protocols like CAME and organizes generated files into a hierarchical structure to narrow down key searches efficiently.

## Use cases
- brute force gate remote codes with flipper zero
- generate subghz .sub files for CAME protocol
- find fixed code key for 433MHz garage door
- narrow down subghz key search with split files
- test OOK fixed code protocols on flipper zero

## When to choose
- you own a Flipper Zero and need to brute force fixed-code subghz remotes
- you want pre-organized .sub files for protocols like CAME
- you need a binary-search style approach to find a key quickly

## When to avoid
- you need rolling-code protocol support
- you want a GUI tool rather than a Python script
- your protocol uses variable or encrypted codes

## Facets
- artifact type: cli-tool
- maturity: active
- function: security, penetration-testing, data-generation
- domain: security, hardware, developer-tools
- platform: python, cli, cross-platform
- tags: flipper-zero, subghz, brute-force, rf-hacking, ook, sub-files, gate-remotes

## Member repositories
- tobiabocchi/flipperzero-bruteforce (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:57.455396+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 2026-08-30T02:26:20.624402+00:00, confidence not recorded.
  - readme: https://github.com/tobiabocchi/flipperzero-bruteforce (fetched 2026-08-28T04:06:57.455396+00:00, sha cc15ba2a1eff)
- Data as of 2026-08-30T08:39:29.467469+00:00.