github Python analyzed e0b22d1

Brad-Edwards/aptl

github

SOC-in-a-Box for AI purple teaming

maintainer
Brad-Edwards
licence
MIT
first seen
2026-06-08
last seen
2026-09-17
releases · 30d
5
short id
risk 64/100 · heuristic grade
D high inferred analyzer v33 (current)
  • capability exposure inferred + 35
  • 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 6d ago · see ecosystem CVEs →

risk trajectory 6 movements
  • C · 56 D · 64
  • C · 44 C · 56
  • C · 56 C · 44
  • B · 32 C · 56
  • C · 35 B · 32
  • A · 0 C · 35
capability exposure grade factor +35
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety 1 findings · grade factor +12
  1. high dangerous code

    committed secret: private key · dynamic exec: unsafe yaml.load(), __import__(), __import__ sink · credential logged in 1 file(s)

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

analyzed commit e0b22d1 · analyzer v33 · 14h ago

skills & prompt files 8

danger signals7

other grade factors evidence elsewhere
embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:Brad-Edwards/aptl/badge.svg)](https://mcpobservatory.com/servers/github:Brad-Edwards/aptl/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 Brad-Edwards.