MCP Observatory
github analyzed a161216

0x3e4/hecate

github

Hecate Cyber Defense - AI-powered vulnerability analysis

maintainer
0x3e4
license
MIT
first seen
2026-06-05
last seen
2026-06-10
releases · 30d
7
short id
risk 35/100 · heuristic grade
C elevated
  • capability exposureinferred+14
  • recent driftinferred+12
  • tool safetyinferred+12
  • trust mitigatorsmixed−3

inferredmixed

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.

graded 8m ago · see ecosystem CVEs →

risk trajectory 1 movements
  • A · 0 → C · 35
capability exposure grade factor +14
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. highdangerous code

    dynamic exec: eval()/exec()

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

analyzed commit a161216 · analyzer v18 · 4h ago

danger signals1

other grade factors evidence elsewhere
embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:0x3e4/hecate/badge.svg)](https://mcpobservatory.com/servers/github:0x3e4/hecate/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 0x3e4.