github analyzed b0990c0

jeecgboot/JeecgBoot

github

AI 低代码平台「低代码 + 零代码」双驱动!低代码可一键生成前后端代码;零代码可 5 分钟搭建系统;AI Skills 一句话画流程、设计表单、生成整套系统。内置 AI聊天、知识库、流程编排、MCP插件等,兼容主流大模型。引领「AI 生成 → 在线配置 → 代码生成 → 手工合并->AI修改」开发模式,消除 Java 项目 80% 的重复工作,提效而不失灵活。

maintainer
jeecgboot
license
Apache-2.0
first seen
2026-05-22
last seen
2026-06-04
releases · 30d
0
short id
risk38/100 · heuristic grade
C elevated
  • capability exposureinferred+22
  • recent driftinferred+12
  • tool safetyinferred+12
  • trust mitigatorsmixed−8

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 12m ago · see ecosystem CVEs →

risk trajectory1 movements
  • A · 0C · 38
capability exposuregrade factor +22
Inferred surface — each links to servers holding it:
vulnerabilities0 CVEs

no known CVEs for this server.

tool safety1 findings · grade factor +12
  1. highdangerous code

    committed secret: OpenAI key, committed .env · dynamic exec: new Function()

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

analyzed commit b0990c0 · analyzer v17 · 2h ago

skills & prompt files 2

danger signals14

other grade factorsevidence elsewhere
embed badgereadme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:jeecgboot/JeecgBoot/badge.svg)](https://mcpobservatory.com/servers/github:jeecgboot/JeecgBoot/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 jeecgboot.