beelzebub

beelzebub-labsGPL-3.0活跃维护

用 Go 写的低代码欺骗运行时框架,靠 AI 做系统虚拟化,快速搭蜜罐和诱饵环境来迷惑攻击者。

A secure low code deception runtime framework, leveraging AI for System Virtualization.

v3.10.0发布于 2026-10-27 12:55 UTC2,235star +3 / 7 天220fork同步于 2026-11-11 05:42 UTC

怎么上手

由 README 提炼,执行前请确认
git clone https://github.com/beelzebub-labs/beelzebub.git
cd beelzebub
./install.sh --docker
硬件要求按 README 说明

README 未说明具体硬件要求;需 Git、shell 和 Docker Engine(Compose v2),建议在隔离实验主机上运行,Linux 下可启用 host 网络模式。

有 Docker 镜像
下载:源码 zip·GitHub Releases(安装包)本站不镜像安装包

项目说明

由 README 自动翻译提炼

开源欺骗防御框架,用 YAML 部署仿真诱饵服务并记录攻击者交互作为安全证据

用 Go 写的低代码欺骗运行时框架,靠 AI 做系统虚拟化,快速搭蜜罐和诱饵环境来迷惑攻击者。

核心能力

  • 用 YAML 定义服务、路由和响应规则
  • 支持静态处理器与 LLM 驱动的自适应响应
  • 支持 SSH、HTTP、TCP、TELNET、MCP 协议
  • 捕获命令、HTTP 请求详情和会话上下文
  • 事件可输出到日志、RabbitMQ 或平台,可选 Prometheus 指标

容易踩的坑

安装脚本会启动包含特权端口的示例服务,需在隔离且有授权的主机上运行;LLM 示例需先配置模型提供方,否则只能用静态处理器;默认 HTTP 诱饵在 8080 端口返回 401 属预期响应,端口被占用时安装器会跳过该端口。

内容由模型根据 README 生成,可能不完整或不准确,以官方文档为准。看原文 README

最近发版

5 个版本v3.10.0
  1. v3.10.0最新正式版2026-10-27 · 2026-10-27 12:55 UTC

    What's Changed

    Full Changelog: https://github.com/beelzebub-labs/beelzebub/compare/v3.9.2...v3.10.0

  2. v3.9.22026-09-23 · 2026-09-23 13:39 UTC
    查看更新说明

    What's Changed

    Full Changelog: https://github.com/beelzebub-labs/beelzebub/compare/v3.9.1...v3.9.2

  3. v3.9.12026-08-31 · 2026-08-31 10:11 UTC
    查看更新说明

    What's Changed

    New Contributors

    Full Changelog: https://github.com/beelzebub-labs/beelzebub/compare/v3.9.0...v3.9.1

  4. v3.9.02026-08-05 · 2026-08-05 14:11 UTC
    查看更新说明

    What's Changed

    Full Changelog: https://github.com/beelzebub-labs/beelzebub/compare/v3.8.0...v3.9.0

  5. v3.8.02026-06-02 · 2026-06-02 14:45 UTC
    查看更新说明

    What's Changed

    New Contributors

    Full Changelog: https://github.com/beelzebub-labs/beelzebub/compare/v3.7.3...v3.8.0

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    README 原文

    未翻译

    Beelzebub — open-source deception framework

    Beelzebub

    Open-source deception framework.

    Deploy realistic decoys. Observe attacker behavior. Turn interactions into security evidence.

    Explore Beelzebub Platform · Documentation · Quick start

    CI Coverage License: GPL v3 Go Reference Mentioned in Awesome Go

    Beelzebub gives security teams a configurable way to study activity directed at decoy services. Define the environment an attacker encounters, choose how it responds, and capture the interaction for investigation. Run the framework independently or connect it to Beelzebub Platform.

    Why Beelzebub

    • Deploy decoys that fit your environment. Define services, routes, and response rules in YAML. Use static handlers for predictable behavior or LLM-powered responses for adaptive interactions. Extend the runtime with trusted Go plugins when you need custom behavior.
    • Observe what happens after contact. Capture evidence from decoy interactions, including commands, HTTP request details, and session context, depending on the protocol. Give analysts a record of activity directed at the service to support investigation.
    • Bring evidence into your workflow. Inspect logs locally, publish structured events to RabbitMQ, or enable Beelzebub Platform reporting. Enable Prometheus metrics with core.prometheus.enabled: true to monitor runtime activity; by default, the metrics listener is disabled and binds no port.

    See it in action

    Watch an LLM-powered decoy respond to attacker input. The demo illustrates how generated responses can sustain an interaction beyond a fixed set of command handlers.

    Demo of an LLM-powered Beelzebub decoy responding to attacker input

    How it works

    Interactions reach decoy services, receive responses from the Beelzebub runtime, and produce security events. YAML configuration feeds the runtime through validation; Go plugins are compiled into the runtime to extend services and responses. Events go to logs with optional RabbitMQ or Platform reporting, while Prometheus exposes metrics separately.

    Define services and rules in YAML, validate the configuration, and start the runtime. Trusted Go plugins are compiled into the runtime to extend services and responses. Each service handles incoming interactions and emits evidence through the configured event output. LLM responses require a configured provider; static handlers can run without one.

    The framework supports SSH, HTTP, TCP, TELNET, and MCP. MCP decoys expose bait tools that make suspicious invocations observable during controlled agent testing. They can provide evidence of prompt-injection attempts; they do not guarantee detection of every attempt.

    Deployment options include a local Go binary, Docker Compose, and Kubernetes with Helm. See the architecture guide for runtime behavior and extension boundaries.

    Explore the decoys

    Start with one of the 18 example configurations in configurations/services. Open a YAML file to inspect its rules and adapt it to your environment.

    CategoryExample decoys
    Remote accessSSH · SSH (LLM) · TELNET · RDP · VNC
    WebWordPress (LLM fallback) · HTTP 401 · HTTP methods · Apache directory maze
    Databases & cachesMySQL · PostgreSQL (LLM) · SQL Server · Redis · Memcached
    Network servicesSMB · LDAP
    IoTMQTT
    AI agentsMCP bait tools

    Examples range from banners and selected responses to interactive exchanges. LLM examples require a configured provider; WordPress uses it for its catch-all route. Check your deployment's port mappings when enabling additional examples.

    Get started

    You need Git, a shell, and Docker Engine with Compose v2. Use an isolated lab host with authorization for all configured listeners: the installer starts a bundle of example services, including privileged ports. On Linux it can enable host networking; Docker does not provide network isolation in that mode.

    Use synthetic credentials and review the production safety guide before exposing services to the internet.

    git clone https://github.com/beelzebub-labs/beelzebub.git
    cd beelzebub
    ./install.sh --docker
    

    Platform reporting is optional. Leave the Platform token blank when prompted to run independently. The runtime validates its configuration before starting listeners.

    Test the default HTTP decoy and inspect its logs:

    curl -i http://localhost:8080/
    docker compose logs -f beelzebub
    

    Expect 401 Unauthorized from the bundled HTTP example on port 8080. This is the decoy's configured response, confirming that the listener is reachable. If the installer skipped an occupied port, resolve the conflict before testing. Press Ctrl+C to stop following logs.

    Stop the lab when finished:

    docker compose down
    

    For a single-service setup or another deployment method, follow the installation guide.

    Beelzebub Platform

    The open-source framework is the foundation: deploy, operate, and extend it independently. Beelzebub Platform is the managed product for teams that need to coordinate deception across environments and connect runtime evidence to a broader security workflow.

    Explore the platform's deployment, investigation, and reporting capabilities, and see how they fit your team's requirements.

    Explore Beelzebub Platform →

    Resources and community

    • Documentation: configuration, protocols, operations, integrations, and recipes.
    • Plugin authoring: build extensions with the public Go SDK. Plugins execute in-process; review their source and pin trusted versions.
    • Contributing: contribute code, examples, or documentation under the Code of Conduct. Report vulnerabilities privately through SECURITY.md.

    For development, use the Go version declared in go.mod, Git, and Make. Build with make build; run make test.unit, go vet ./..., and make validate-all before submitting runtime changes. The development workflow covers integration tests and their Docker dependencies.

    Thank you to JetBrains for supporting development with tools through its open-source support program.

    Licensed under the GNU General Public License v3.0.