ainfosec/FISSURE

Health v2 · maintenance only

Adoption not part of the score

2033 stars · 142 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

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

framework · maturity active

reverse-engineering security fuzzing machine-learning plugin-system developer-tools security reverse-engineering hardware python cross-platform sdr rf gnuradio signal-analysis wireless-security iq-data protocol-reverse-engineering tak-integration hackrf rtl-sdr wireless automation linux desktop

Member repositories

For agents

markdown · JSON · MCP: product_card(name="ainfosec/FISSURE")