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MCP server · Security

mariocandela/beelzebub

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

92Excellent

Scored 6 days ago · breakdown

About mariocandela/beelzebub

mariocandela/beelzebub is an MCP server published by beelzebub-labs in the Security category: a secure low code deception runtime framework, leveraging AI for System Virtualization.

The repository has 2.2K stars and 224 forks, with the last commit yesterday. Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/beelzebub-labs/beelzebub

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

Static checks derived from the repository 2 hours ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • ✓Tests presentA test suite exists in the repository.
  • ✓Dependencies pinnedA lockfile pins dependency versions.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

Releases

v3.9.2v3.9.2 · 23 Sep 2026What's Changed build(deps): bump github.com/mark3labs/mcp-go from 0.58.0 to 1.0.0 by @dependabot[bot] in https://github.com/beelzebub-labs/beelzebub/pull/363 docs: add brand new documentation module by @airscripts in…
v3.9.1v3.9.1 · 31 Aug 2026What's Changed docs: Added note on LLMhoneypot guardrails in the README by @marcopedrinazzi in https://github.com/beelzebub-labs/beelzebub/pull/350 build(deps): bump github.com/santhosh-tekuri/jsonschema/v6 from 6.0.2 to 6.0.3 by…
v3.9.0v3.9.0 · 5 Aug 2026What's Changed build(deps): bump golang.org/x/term from 0.43.0 to 0.44.0 by @dependabot[bot] in https://github.com/beelzebub-labs/beelzebub/pull/322 build(deps): bump codecov/codecov-action from 6 to 7 in the actions group by…
v3.8.0v3.8.0 · 2 Jun 2026What's Changed build(deps): bump github.com/melbahja/goph from 1.5.0 to 1.5.1 by @dependabot[bot] in https://github.com/beelzebub-labs/beelzebub/pull/319 Feat(tcp): preserve raw client bytes in trace events for binary protocols by @zgsec…
v3.7.3v3.7.3 · 28 May 2026What's Changed docs: fix Code of Conduct link in CONTRIBUTING.md by @kOaDT in https://github.com/beelzebub-labs/beelzebub/pull/317 build(deps): bump github.com/mark3labs/mcp-go from 0.54.0 to 0.54.1 by @dependabot[bot] in…

README

Beelzebub

Open-source deception framework.

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

Explore Beelzebub Platform · Documentation · Quick start

CI Coverage 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. Monitor runtime activity through Prometheus metrics and choose where captured data is sent.

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

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.

Category Example decoys
Remote access SSH · SSH (LLM) · TELNET · RDP · VNC
Web WordPress (LLM fallback) · HTTP 401 · HTTP methods · Apache directory maze
Databases & caches MySQL · PostgreSQL (LLM) · SQL Server · Redis · Memcached
Network services SMB · LDAP
IoT MQTT
AI agents MCP 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.

README fetched from the repository 2 hours ago. The original is authoritative.

Questions

About mariocandela/beelzebub

How do I install mariocandela/beelzebub?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is mariocandela/beelzebub safe to use with an AI agent?

Its trust score is 92 out of 100 (excellent). It passes 5 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is mariocandela/beelzebub still maintained?

Yes — the latest release is v3.9.2 (23 Sep 2026), and the last commit was yesterday. The repository has 2.2K stars and 10 open issues.