# ainfosec/FISSURE

The RF and reverse engineering framework for everyone. Follow and ★ to show your support!

Repository: https://github.com/ainfosec/FISSURE
Canonical: https://ross.abutalabs.com/products/fissure
Homepage: https://twitter.com/FissureRF
Language: Python
License: GPL-3.0
License Family: copyleft
Topics: gnuradio, protocols, reverse-engineering, rf, sdr, signals, tools, bladerf, hackrf, rtl-sdr, usrp, wifi, limesdr, plutosdr, python, sdrplay, scapy, wireless, machine-learning
Last push: 2026-08-25T19:30:14+00:00

## Health v2 (maintenance only)
Score: 76/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 34, longevity 100
- inputs: {"age_days": 1486, "days_push": 8, "days_rel": 224, "gap_med": null, "n_releases_24m": 1}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2033, forks 142 (observed 2026-08-28T04:06:07.784264+00:00)

## What it is
FISSURE is an open-source RF and reverse engineering framework built around software-defined radios, supporting signal detection, classification, protocol discovery, fuzzing, and vulnerability analysis. It serves both operational deployments and research/education, with AI/ML integration and distributed sensor node coordination.

## Use cases
- reverse engineer wireless protocols with an SDR
- detect and classify RF signals
- capture and replay IQ recordings
- fuzz radio protocols for vulnerabilities
- geolocate RF emitters
- learn software-defined radio and RF reverse engineering
- coordinate distributed RF sensing nodes

## When to choose
- you need an integrated toolkit for SDR-based signal analysis and protocol reverse engineering
- you want RF fuzzing, replay, and geolocation in one framework
- you're teaching or researching SDR and wireless security
- you need TAK integration for tactical RF operations

## When to avoid
- you have no SDR hardware (HackRF, RTL-SDR, USRP, etc.)
- you only need simple Wi-Fi auditing rather than broad RF work
- you need a lightweight single-purpose tool instead of a full framework

## Facets
- artifact type: framework
- maturity: active
- function: reverse-engineering, security, fuzzing, machine-learning, plugin-system, developer-tools
- domain: security, reverse-engineering, hardware
- platform: python, cross-platform
- tags: sdr, rf, gnuradio, signal-analysis, wireless-security, iq-data, protocol-reverse-engineering, tak-integration, hackrf, rtl-sdr, wireless, automation, linux, desktop

## Member repositories
- ainfosec/FISSURE (main) score 76

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:07.784264+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 2026-08-30T02:59:27.053780+00:00, confidence not recorded.
  - readme: https://github.com/ainfosec/FISSURE (fetched 2026-08-28T04:06:07.784264+00:00, sha 3276af710c3a)
- Data as of 2026-08-30T08:39:29.467469+00:00.