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Alpha — full Android pipeline + iOS toolkit + live dynamic loop. API still shifting; pin to commits in CI.
MedusaNexus — unified mobile threat analysis

🔱 MedusaNexus

Unified mobile threat analysis. Every head sees a different angle.

mnexus is the orchestrator your APK never asked for. It doesn’t reinvent JADX, Ghidra, MobSF, Frida, Medusa, Stheno, Burp, Caido, Moxy or APKTool — it makes them stop pretending they don’t know each other, sits them down at one SQLite-backed table, and watches them correlate findings like adults.

Alpha — full Android pipeline + iOS toolkit + live dynamic loop. The API still shifts week to week; pin to commits in CI.

Get up and running

What it does

  1. You drop an APK or IPA (or pull one off a device with one click).
  2. Static engines run in parallel — JADX decompiles, MobSF lectures, Ghidra dissects every .so, the secrets scanner finds the API key that’s been hard-coded since 2019.
  3. The attack surface gets built — exported components, deep links, crypto primitives, pinning libs, root-detection libs, the works.
  4. Frida hooks get auto-generated based on what static analysis actually found. No more copy-pasting universal-ssl-pinning-bypass.js from Stack Overflow.
  5. You run the dynamic session. Traffic routes through Burp / Caido / Moxy, Medusa recipes load, Stheno patches the APK if needed, every crypto call and intent gets logged.
  6. Correlation layer confirms findings — static suspicion + dynamic evidence = a finding with a confidence level your client will take seriously.
  7. Reports ship with mitigation. Not “improve security posture”. Actual before/after code.

Pick your surface

How the docs are organised

SectionWhen to open it
Getting startedFirst-day install + first scan + the language the rest of the docs use.
Workflows”I want to do X” — every supported analyst story, end to end.
IntegrationsPer-tool wiring: Burp, Caido, Moxy, super-tart-vphone, MCP.
ReferenceArchitecture map + auto-generated CLI / REPL / API matrices plus env var inventory.

Source of truth is the markdown next to the code in docs-site/content/. Every page renders byte-identically in your editor and on this site — so when an AI assistant reads the repo, it sees the same words you do.