ShipSec Studio

ShipSec Studio is an open-source no-code security workflow automation platform that enables security teams to orchestrate reconnaissance, scanning, and security operations with a visual pipeline builder backed by Temporal.io. Build complex security workflows without writing code and deploy them in your own infrastructure.

Installation

ShipSec Studio uses Docker for deployment. The quickest way to get started is the one-line installer.

Prerequisites

Docker (v20.10+) and Docker Compose (v2.0+)
4GB RAM minimum, 8GB recommended
Port access: 8000 (web UI), 9090 (Temporal server)
Linux/macOS/Windows with WSL2

One-Line Installer

curl https://install.shipsec.ai | bash

This downloads and runs the installer, which handles all initial configuration and starts the services.

Manual Docker Compose Setup

Create a docker-compose.yml file:

version: '3.8'

services:
  temporal:
    image: temporalio/auto-setup:latest
    ports:
      - "7233:7233"
      - "8233:8233"
    environment:
      - DB=postgresql
      - DB_PORT=5432
      - POSTGRES_USER=temporal
      - POSTGRES_PASSWORD=temporal
      - POSTGRES_DB=temporal
    depends_on:
      - postgres
    healthcheck:
      test: ["CMD", "tctl", "workflow", "list"]
      interval: 10s
      timeout: 5s
      retries: 5

  postgres:
    image: postgres:14-alpine
    environment:
      - POSTGRES_USER=temporal
      - POSTGRES_PASSWORD=temporal
      - POSTGRES_DB=temporal
    volumes:
      - postgres-data:/var/lib/postgresql/data
    ports:
      - "5432:5432"

  management-plane:
    image: shipsecai/studio-management:latest
    ports:
      - "8000:3000"
    environment:
      - NODE_ENV=production
      - TEMPORAL_ADDRESS=temporal:7233
      - DATABASE_URL=postgresql://temporal:temporal@postgres:5432/temporal
      - JWT_SECRET=your-secret-key-here
    depends_on:
      temporal:
        condition: service_healthy
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:3000/health"]
      interval: 10s
      timeout: 5s
      retries: 3

  worker:
    image: shipsecai/studio-worker:latest
    environment:
      - TEMPORAL_ADDRESS=temporal:7233
      - WORKER_POOL_SIZE=5
      - LOG_LEVEL=info
    depends_on:
      - temporal
    deploy:
      replicas: 2
      resources:
        limits:
          cpus: '1'
          memory: 2G

volumes:
  postgres-data:

Start the services:

docker-compose up -d

Access the web UI at http://localhost:8000

Quick Start

Accessing the Web UI

Once services are running, open your browser and navigate to http://localhost:8000. You’ll see the dashboard with your workflows, execution history, and status overview.

Default login uses the initial admin credentials (change these on first login for security).

Creating Your First Workflow

Click New Workflow on the dashboard
Name it (e.g., “Domain Reconnaissance”)
Select Visual Builder to enter the drag-and-drop editor
Add nodes by dragging tools from the left panel:
- Subfinder for subdomain enumeration
- DNSX for DNS resolution
- HTTPx for web probing
Connect nodes by clicking output ports and dragging to input ports
Configure each node with:
- Input sources (previous node output, manual values, secrets)
- Parameters (threads, filters, output format)
- Error handling (retry, skip, fail)
Click Compile to generate the DSL
Click Save & Deploy to make it available
Run the workflow manually or set a schedule

Architecture

ShipSec Studio uses a three-plane distributed architecture:

Management Plane (NestJS)

REST API and web UI
Workflow definition storage
User authentication and authorization
Scheduling and trigger management
Runs on port 3000 (mapped to 8000 externally)

Orchestration Plane (Temporal.io)

Workflow state management
Task routing and retry logic
Execution history and durability
Handles millions of concurrent workflows
Server on port 7233, UI on port 8233

Worker Plane (Stateless Containers)

Ephemeral task execution
Tool integration plugins
Isolated security context per task
Scales horizontally with load
Pulls tasks from Temporal queue

All three planes communicate via gRPC and HTTP APIs. Workers are stateless and disposable—failed workers don’t impact overall system state because Temporal retains the workflow history.

Visual Workflow Builder

The visual editor is the primary way to design workflows without code.

Creating Pipelines

Start with a blank canvas and add nodes from the sidebar:

Input nodes — manual triggers, webhook triggers, scheduled inputs
Tool nodes — Subfinder, Naabu, custom integrations
Decision nodes — conditional branches, filters
Output nodes — store results, send alerts, trigger downstream workflows

Connecting Nodes

Drag from the output port of one node to the input port of another. The system validates:

Data type compatibility (e.g., domain list → subdomain tool)
Required vs. optional inputs
Circular dependencies (prevented)

Each connection shows the data flowing through it. Hover to see the schema.

Compiling to DSL

After designing visually, click Compile to generate the underlying Workflow Definition Language (a YAML-based DSL). This DSL is version-controlled and can be imported back into the visual builder or stored in Git.

# Generated DSL example
workflow:
  name: domain-recon-workflow
  version: 1
  steps:
    - id: subfinder
      tool: subfinder
      input:
        domain: "{{ input.target_domain }}"
        silent: true
      output: subdomains
    - id: dnsx
      tool: dnsx
      input:
        domains: "{{ subfinder.subdomains }}"
        threads: 100
      output: resolved_ips
    - id: httpx
      tool: httpx
      input:
        urls: "{{ dnsx.resolved_ips }}"
        status-code: true
      output: live_hosts
  output:
    result: "{{ httpx.live_hosts }}"

Built-in Integrations

ShipSec Studio ships with first-class integrations for the most common security tools.

Reconnaissance Tools

Tool	Purpose	Key Params
Subfinder	Subdomain enumeration	domain, silent, all-sources, threads
DNSX	DNS resolution & validation	domains, threads, resolver-list
Naabu	Port scanning	hosts, ports, threads, rate
HTTPx	HTTP probing & fingerprinting	urls, status-code, title, tech-detect
Nuclei	Vulnerability scanning	targets, templates, severity, tags

Parameters

Each tool node accepts input from previous nodes or manual values:

nodes:
  - id: subfinder_step
    tool: subfinder
    config:
      domain: "{{ trigger.domain }}"  # From workflow trigger
      silent: false
      all_sources: true
      max_retries: 3

Custom Tool Mappings

Map tool output fields to next step inputs via the Output Mapping panel. Define transforms like:

transforms:
  - source: subfinder.subdomains
    target: dnsx.domains
    filter: "unique_domains"

Workflow DSL

The Workflow Definition Language is a declarative format for defining workflows programmatically.

Format

version: "1.0"
name: "advanced-recon"
description: "Multi-stage reconnaissance workflow"

triggers:
  - type: webhook
    path: /workflows/advanced-recon
  - type: schedule
    cron: "0 0 * * 0"  # Weekly

inputs:
  target_domain:
    type: string
    required: true
  include_passive:
    type: boolean
    default: true

steps:
  - id: stage_1_subdomains
    tool: subfinder
    parallel: false
    input:
      domain: "{{ inputs.target_domain }}"
      all_sources: "{{ inputs.include_passive }}"
    retry:
      max_attempts: 3
      backoff: exponential
    on_error: continue

  - id: stage_2_resolve
    tool: dnsx
    depends_on: stage_1_subdomains
    input:
      domains: "{{ stage_1_subdomains.output.subdomains }}"
      threads: 100
    timeout: 300

  - id: stage_3_probe
    tool: httpx
    depends_on: stage_2_resolve
    input:
      urls: "{{ stage_2_resolve.output.ips }}"
      status_code: true
      title: true
    parallel: true
    workers: 5

outputs:
  live_hosts:
    path: "{{ stage_3_probe.output.results }}"
    format: json

notifications:
  - type: webhook
    url: "{{ secrets.slack_webhook }}"
    on: workflow_complete
    payload:
      message: "Recon complete: {{ outputs.live_hosts }}"

Variables and Interpolation

Use {{ }} syntax to reference:

Trigger inputs: {{ trigger.param }}
Step outputs: {{ step_id.output.field }}
Secrets: {{ secrets.api_key }}
Workflow inputs: {{ inputs.var }}

Secrets Management

ShipSec Studio encrypts all secrets using AES-256-GCM at rest and in transit.

Adding Secrets

Via the web UI under Settings → Secrets:

Click Add Secret
Enter name (alphanumeric, underscores)
Paste the value (API key, token, password)
Select scope: Workflow, Team, or Personal
Click Save

Secrets are encrypted immediately and never logged or displayed in plaintext.

Using Secrets in Workflows

Reference via template syntax:

steps:
  - id: shodan_scan
    tool: shodan_integration
    input:
      api_key: "{{ secrets.shodan_api_key }}"
      query: "{{ inputs.query }}"

API Key Management

Rotate keys without updating workflows:

Create new secret with suffix _v2
Update code/integrations to use new key
Delete old secret after verification

Worker Configuration

Workers execute tasks in ephemeral containers, pulling from the Temporal queue.

Worker Pool Configuration

Define worker capacity in docker-compose.yml:

worker:
  image: shipsecai/studio-worker:latest
  environment:
    - TEMPORAL_ADDRESS=temporal:7233
    - WORKER_POOL_SIZE=10
    - MAX_CONCURRENT_TASKS=5
    - TASK_TIMEOUT=600
    - LOG_LEVEL=debug
  deploy:
    replicas: 3
    resources:
      limits:
        cpus: '2'
        memory: 4G

Scaling Workers

Increase replicas for higher throughput:

docker-compose up -d --scale worker=5

Monitor worker health:

docker-compose logs -f worker | grep ERROR

Task Isolation

Each task runs in an isolated container with:

Separate filesystem (no shared state)
Resource limits (CPU, memory)
Network isolation (outbound only)
Unique environment variables per execution

Workers are stateless and replaced frequently—no persistent data should be stored on workers.

Scheduling and Triggers

Trigger workflows manually, via schedule, or from external events.

Webhook Triggers

Enable webhook trigger in workflow definition:

triggers:
  - type: webhook
    path: /workflows/my-workflow
    method: POST

Invoke via HTTP:

curl -X POST http://localhost:8000/workflows/my-workflow \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_TOKEN" \
  -d '{
    "target_domain": "example.org",
    "include_passive": true
  }'

Response includes execution ID for tracking.

Cron Scheduling

Schedule recurring workflows with standard cron syntax:

triggers:
  - type: schedule
    cron: "0 9 * * 1-5"  # 9 AM Mon-Fri
    timezone: "UTC"

Common patterns:

0 0 * * * — Daily at midnight
0 */6 * * * — Every 6 hours
30 2 * * 0 — Weekly Sunday 2:30 AM
0 0 1 * * — Monthly on the 1st

Event-Driven Triggers

Trigger based on external events via webhooks:

triggers:
  - type: event
    source: github
    event: push
    repository: "your-org/repo"

Custom Integrations

Extend ShipSec Studio with your own tools.

Plugin Architecture

Create a plugin by implementing the ShipSec Tool Interface:

mkdir plugins/my-custom-tool
cd plugins/my-custom-tool

{
  "name": "my-custom-tool",
  "version": "1.0.0",
  "author": "your-org",
  "description": "Custom security tool integration",
  "inputs": [
    {
      "name": "target",
      "type": "string",
      "required": true
    }
  ],
  "outputs": [
    {
      "name": "results",
      "type": "array"
    }
  ],
  "executable": "./run.sh"
}

Integration Script

The executable (shell script, Python, Go, etc.) processes input and outputs JSON:

#!/bin/bash

# Read input from stdin
INPUT=$(cat)
TARGET=$(echo $INPUT | jq -r '.target')

# Run your tool logic
RESULTS=$(my-tool scan "$TARGET")

# Output as JSON
jq -n --arg results "$RESULTS" '{results: $results}'

Registering the Plugin

Place the plugin directory in ./plugins/ and restart workers:

docker-compose restart worker

The tool is now available in the Visual Builder under Custom Tools.

API Reference

ShipSec Studio exposes a REST API for programmatic workflow management.

Authentication

All API requests require a Bearer token in the Authorization header:

Authorization: Bearer YOUR_API_TOKEN

Generate tokens in Settings → API Tokens.

Core Endpoints

Method	Endpoint	Purpose
POST	`/api/v1/workflows`	Create workflow
GET	`/api/v1/workflows`	List workflows
GET	`/api/v1/workflows/{id}`	Get workflow details
PUT	`/api/v1/workflows/{id}`	Update workflow
DELETE	`/api/v1/workflows/{id}`	Delete workflow
POST	`/api/v1/workflows/{id}/execute`	Run workflow
GET	`/api/v1/executions/{id}`	Get execution status
GET	`/api/v1/executions/{id}/logs`	Stream execution logs

Creating Workflow via API

curl -X POST http://localhost:8000/api/v1/workflows \
  -H "Authorization: Bearer YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "api-workflow",
    "description": "Created via API",
    "definition": {
      "version": "1.0",
      "steps": [
        {
          "id": "subfinder",
          "tool": "subfinder",
          "input": {
            "domain": "{{ inputs.target }}"
          }
        }
      ]
    }
  }'

Executing Workflow

curl -X POST http://localhost:8000/api/v1/workflows/abc123/execute \
  -H "Authorization: Bearer YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "target": "example.org",
    "include_passive": true
  }'

Returns execution ID and status URL.

Monitoring and Logging

Track workflow execution and diagnose issues via logs.

Workflow Execution Dashboard

The Executions tab shows all runs with:

Execution ID
Start/end time
Status (running, completed, failed)
Input parameters
Output summary

Click an execution to see detailed logs.

Execution Logs

Stream logs for a running workflow:

curl -H "Authorization: Bearer YOUR_TOKEN" \
  http://localhost:8000/api/v1/executions/exec-12345/logs?follow=true

Logs include:

Timestamp
Step ID
Log level (DEBUG, INFO, WARN, ERROR)
Message

Temporal UI

Access Temporal’s native UI at http://localhost:8233 to inspect:

Workflow execution history
Task queue depth
Worker status
Detailed event logs

Self-Hosted Deployment

Deploy ShipSec Studio in your own infrastructure for data residency and control.

Requirements

Docker and Docker Compose
PostgreSQL 14+ (or use Docker service)
Temporal server (v1.20+)
4 vCPU, 8GB RAM minimum
Network access for tool integrations (Shodan API, etc.)

Air-Gapped Deployment

For networks without internet access:

Pre-load all Docker images on the target network:

docker pull shipsecai/studio-management:latest
docker pull shipsecai/studio-worker:latest
docker pull temporalio/auto-setup:latest
docker pull postgres:14-alpine

# Save and transfer to target network
docker save -o studio-images.tar \
  shipsecai/studio-management:latest \
  shipsecai/studio-worker:latest \
  temporalio/auto-setup:latest \
  postgres:14-alpine

Load on target network:

docker load -i studio-images.tar

Configure worker integrations to use local tool mirrors (Subfinder, Nuclei, etc.)

Production Configuration

For production deployments, use environment-specific overrides:

# docker-compose.prod.yml
version: '3.8'

services:
  management-plane:
    image: shipsecai/studio-management:latest
    environment:
      - NODE_ENV=production
      - TEMPORAL_ADDRESS=temporal:7233
      - DATABASE_URL=postgresql://user:pass@postgres-host:5432/studio
      - JWT_SECRET=${JWT_SECRET}
      - REDIS_URL=redis://redis:6379
    restart: always
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:3000/health"]
      interval: 30s
      timeout: 10s
      retries: 3

  worker:
    image: shipsecai/studio-worker:latest
    environment:
      - TEMPORAL_ADDRESS=temporal:7233
      - WORKER_POOL_SIZE=20
      - LOG_LEVEL=info
    restart: always
    deploy:
      replicas: 5
      resources:
        limits:
          cpus: '2'
          memory: 4G
        reservations:
          cpus: '1'
          memory: 2G

Deploy:

docker-compose -f docker-compose.prod.yml up -d

Backup and Recovery

Backup the PostgreSQL database regularly:

docker-compose exec postgres pg_dump -U temporal studio > backup.sql

Restore from backup:

docker-compose exec -T postgres psql -U temporal studio < backup.sql

Temporal maintains workflow history independently—no additional backup needed.

Troubleshooting

Workflow Fails to Compile

Error: InvalidWorkflowDefinition

Check for:

Undefined variable references (typo in step IDs or input names)
Circular dependencies (step A depends on B, B depends on A)
Missing required tool parameters

Fix: Review the workflow in the Visual Builder and validate connections.

Worker Not Processing Tasks

Error: Worker queue depth increasing, tasks not executing

Check worker status:

docker-compose logs worker | grep -i error

Verify worker can reach Temporal:

docker-compose exec worker curl -s temporal:7233 || echo "Connection failed"

Restart workers:

docker-compose restart worker

Out of Memory During Large Scans

Decrease WORKER_POOL_SIZE and increase memory limits:

environment:
  - WORKER_POOL_SIZE=5  # Reduce from 10
resources:
  limits:
    memory: 8G  # Increase

Or scale to more worker instances with smaller pools.

API Token Expired

Regenerate tokens in Settings → API Tokens. Old tokens remain valid until explicitly revoked.

Temporal Server Won’t Start

Ensure PostgreSQL is running and accessible:

docker-compose logs postgres

Check connection string in DATABASE_URL.

Best Practices

Workflow Design

Modular steps — Keep each step focused on one tool. Chain steps for complex logic.
Error handling — Set on_error: continue for optional steps, on_error: fail for critical ones.
Timeouts — Add explicit timeouts to prevent runaway tasks (default 600s).
Parallel execution — Use parallel: true for independent steps to reduce runtime.

Security

Rotate secrets — Update API keys quarterly and rotate immediately if exposed.
Least privilege — Limit worker permissions to only required network destinations.
Audit logs — Enable audit logging in production and review regularly.
Network isolation — Run workers on a dedicated subnet with egress firewall rules.

Performance

Batch inputs — Send domains in batches to tools rather than one-by-one.
Cache results — Use workflow outputs to avoid redundant scans.
Scale workers — Monitor queue depth and scale workers before bottleneck.
Adjust threading — Tool-specific threading (e.g., threads: 200 in Subfinder) improves throughput.

Maintenance

Version workflows — Use semantic versioning for workflow definitions.
Test changes — Deploy updated workflows to a staging environment first.
Monitor logs — Set up alerts on ERROR and WARN logs in production.
Update tools — Regularly pull latest tool container images.

Tool	Purpose	Comparison
Tines	Low-code security automation platform	Commercial, managed cloud service; ShipSec is open-source and self-hosted
Shuffle SOAR	Open-source security orchestration platform	Similar architecture; Shuffle focuses on enterprise SOAR, ShipSec on reconnaissance/scanning
n8n	General-purpose workflow automation	Broader use cases (CRM, marketing, etc.); ShipSec is security-focused with built-in tool integrations
StackStorm	Open-source event-driven automation	Broader IT automation; ShipSec has tighter security tool integration

For more information, visit the official docs at docs.shipsec.ai or the GitHub repository at github.com/shipsecai/studio.