MCP Observatory
github analyzed a30242d

wallieinformal201/pentest-mcp-server

github

Integrate penetration testing tools and payloads into your workflow through the Model Context Protocol using STDIO or HTTP.

maintainer
wallieinformal201
license
Apache-2.0
first seen
2026-06-04
last seen
2026-06-16
releases · 30d
0
short id
risk 44/100 · heuristic grade
C elevated
  • capability exposureinferred+22
  • recent driftinferred+20
  • tool safetyinferred+2

inferred

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 12m ago · see ecosystem CVEs →

risk trajectory 2 movements
  • C · 56 → C · 44
  • C · 48 → C · 56
capability exposure grade factor +22
Inferred surface — each links to servers holding it:
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety 1 findings · grade factor +2
  1. lowexfiltration combo

    sensitive read and network capabilities split across this server's tools

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

analyzed commit a30242d · analyzer v18 · 1h ago

skills & prompt files 33

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:wallieinformal201/pentest-mcp-server/badge.svg)](https://mcpobservatory.com/servers/github:wallieinformal201/pentest-mcp-server/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 wallieinformal201.