github analyzed d959d85

trynullsec/nullsec-s1

github

Security-native LLM system for AI-generated application security.

maintainer
trynullsec
license
first seen
2026-06-04
last seen
2026-06-04
releases · 30d
1
short id
risk 32/100 · heuristic grade
B low
  • capability exposureinferred+35
  • 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 2m ago · see ecosystem CVEs →

risk trajectory 1 movements
  • A · 0B · 32
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 +0
  1. lowdangerous code

    env-secret-flows-to-network-js: A process environment value (often a secret/token) flows into a network call — possible credential exfiltration. (/scratch/obs-code-noE3NA/trynullse

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

analyzed commit d959d85 · analyzer v20 · 14h ago

danger signals7

embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:trynullsec/nullsec-s1/badge.svg)](https://mcpobservatory.com/servers/github:trynullsec/nullsec-s1/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 trynullsec.