github Python analyzed 9156821

fadelabs/phantom

github

AI audio engineering system: MCP server + Claude Code skills for professional automated mixing and mastering

maintainer
fadelabs
licence
NOASSERTION
first seen
2026-07-05
last seen
2026-09-07
releases · 30d
1
short id
risk 42/100 · heuristic grade
C elevated inferred analyzer v33 (current)
  • vulnerabilities attested + 18
  • capability exposure inferred + 22
  • tool safety inferred + 5
  • trust mitigators mixed − 3

attested 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 2d ago · see ecosystem CVEs →

risk trajectory 3 movements
  • B · 24 C · 42
  • C · 44 B · 24
  • C · 36 C · 44
capability exposure grade factor +22
Inferred surface — each links to servers holding it:
vulnerabilities 1 CVEs · grade factor +18
HIGH
Arbitrary file write and decode-bomb DoS via unconfined MCP tool paths (fixed in 1.3.1) affects ["<= 1.3.0"]
tool safety 1 findings · grade factor +5
  1. medium dangerous code

    dynamic exec: __import__()

skills & danger signals github-tarball
prompt-surface shipped agent-instruction files + hidden-content / dangerous-code findings — quoted from the analyzed source

analyzed commit 9156821 · analyzer v33 · 2d ago

skills & prompt files 7

danger signals2

embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:fadelabs/phantom/badge.svg)](https://mcpobservatory.com/servers/github:fadelabs/phantom/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 fadelabs.