Open-source multi-protocol casting fabric for LAN audio devices and AI agents
- capability exposure inferred + 26
- recent drift inferred + 20
- tool safety inferred + 12
- trust mitigators mixed − 3
inferred mixed
The A–E grade is our heuristic synthesis — a "review this" prompt, not a verdict. Each factor is tagged by what backs it: attested (a verifiable record), reported (a third party's claim), or inferred (our own heuristic, e.g. permissions). See methodology.
grade last moved 3d ago · see ecosystem CVEs →
- C · 51 → C · 55
- C · 43 → C · 51
- C · 46 → C · 43
No known CVEs for this server.
- high dangerous code
committed secret: private key · dynamic exec: __import__()
analyzed commit 5b7733e · analyzer v33 · 2d ago
skills & prompt files 2
danger signals4
- dynamic code execution __import__() DjangoAILab-CastFabric-5b7733e/miair.py :22
__import__(import_name) - committed secret private key DjangoAILab-CastFabric-5b7733e/miair/airplay/airplay1.py :26
PEM private key block (redacted) - committed secret private key DjangoAILab-CastFabric-5b7733e/miair/airplay/playfair.py :8
PEM private key block (redacted) - committed secret private key DjangoAILab-CastFabric-5b7733e/miair/airplay/server.py :248
PEM private key block (redacted)
- recent drift +20 capability drift →
[](https://mcpobservatory.com/servers/github:DjangoAILab/CastFabric/security) Heuristic, inferred signals — false positives (legitimately powerful tools, forks, language ports) are expected. Treat each as "review this", not a verdict. See the ecosystem-wide picture on the security hub, or the fleet security of DjangoAILab.