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    reNgine Cloud - Automated Reconnaissance & Attack Surface Management

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    Sold by: HailBytes 
    Deployed on AWS
    Free Trial
    Automated reconnaissance platform for security teams. Continuous attack surface monitoring with AI-powered vulnerability analysis.

    Overview

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    Enterprise Attack Surface Management & Automated Reconnaissance

    reNgine Cloud is an enterprise-grade automated reconnaissance platform that transforms weeks of manual security testing into hours through intelligent automation, AI-powered analysis, and continuous monitoring.

    What You Get

    • 20+ integrated security tools orchestrated in automated workflows
    • AI-powered vulnerability analysis with GPT-4 and local LLM support
    • Continuous attack surface monitoring with automated change detection
    • Multi-project collaboration with role-based access control
    • Container-based deployment with GPU support for AI workloads
    • REST API for automation and CI/CD integration
    • Standard support included (3-5 day response) - upgrade available

    Perfect For

    • Penetration testers conducting client reconnaissance
    • Red teams automating reconnaissance workflows
    • Security consultancies managing multiple client assessments
    • Corporate security teams monitoring attack surface continuously
    • DevSecOps teams integrating security into CI/CD pipelines

    Key Features

    Automated Reconnaissance Workflow

    • Subdomain Discovery: Subfinder, Amass, Assetfinder integration
    • Port Scanning: Nmap, Masscan automated scanning
    • Technology Detection: Wappalyzer, WhatWeb, Webanalyze
    • Vulnerability Scanning: Nuclei templates (10,000+ CVEs)
    • Directory Bruteforcing: FFUF, Dirsearch, GoBuster
    • Screenshot Capture: Automated visual reconnaissance
    • DNS Analysis: Comprehensive DNS enumeration
    • Certificate Transparency: CT log monitoring

    AI-Powered Analysis

    • GPT-4 Integration: Cloud-based AI vulnerability assessment
    • GPU Acceleration: Optional GPU instances for faster AI processing
    • Automatic Report Generation: AI-generated executive summaries
    • Exploitation Guidance: Context-aware attack suggestions

    Continuous Monitoring

    • Scheduled Scans: Automated periodic reconnaissance
    • Change Detection: Alert on new subdomains, endpoints, vulnerabilities
    • Historical Tracking: Trend analysis and attack surface growth visualization
    • Real-time Notifications: Slack, Discord, Telegram integration
    • Mean Time to Discovery: Catch vulnerabilities before attackers

    Collaboration & Workflow

    • Multi-Project Support: Isolate client engagements or business units
    • Role-Based Access: Admin, Auditor, Viewer permissions
    • Team Collaboration: Shared notes and findings
    • Workspace Isolation: Secure multi-tenant architecture
    • API Integration: Automate workflows and exports

    Pricing

    • $0.24 per vCPU/hour - Simple, transparent pricing
    • 2 vCPU minimum, 8GB memory - Scales to 32+ vCPUs for large workloads
    • ~$350/month starting cost - Database, storage, and networking included
    • 30-day free trial available - Test with no commitment
    • Standard support included - Professional and Enterprise support available as add-ons

    Deployment Details

    Setup Time

    • 5-10 minutes automated CloudFormation deployment
    • Pre-configured with all 20+ security tools
    • Production-ready out of the box

    Security & Compliance

    • SOC 2 Type II compliant infrastructure
    • Data encryption at rest and in transit
    • Private VPC deployment
    • Role-based access control
    • Audit logging enabled
    • GDPR/CCPA compliant

    Why reNgine Cloud?

    vs. Manual Reconnaissance

    • 80% time savings - weeks to hours
    • Consistent methodology - repeatable processes
    • Centralized data - no more scattered CSV/JSON files
    • Continuous monitoring - vs. point-in-time assessments

    vs. Commercial ASM Platforms (Censys, Shodan, etc.)

    • 50-70% cost savings - $350/mo vs. $20K-50K/year
    • Complete data ownership - all data in your AWS account
    • Full customization - modify scans, add custom tools
    • No vendor lock-in - portable container architecture

    vs. Self-Hosted reNgine

    • Managed infrastructure - no server administration
    • Pre-configured tools - all 20+ tools integrated
    • Automatic updates - security patches and new features
    • Professional support - expert reconnaissance guidance
    • High availability - production-grade reliability

    Use Cases

    Security Consultancies

    • Manage multiple client reconnaissance projects
    • Deliver automated continuous monitoring services
    • Generate professional reports with AI assistance
    • Scale team without proportional tool costs

    Corporate Security Teams

    • Monitor external attack surface continuously
    • Track shadow IT and forgotten assets
    • Integrate with existing security stack (SIEM, SOAR)
    • Meet compliance requirements (PCI-DSS, ISO 27001)

    Getting Started

    1. Subscribe on AWS Marketplace (uses your AWS committed spend)
    2. Deploy using our CloudFormation template (5-10 minutes)
    3. Configure your first reconnaissance project
    4. Launch automated scans and review AI-powered insights

    Highlights

    • 20+ integrated security tools with automated workflows
    • AI-powered vulnerability analysis with GPT-4 and Ollama
    • Continuous monitoring with real-time change detection

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 24.04.1

    Deployed on AWS
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    Financing for AWS Marketplace purchases

    Pricing

    Free trial

    Try this product free for 30 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.

    reNgine Cloud - Automated Reconnaissance & Attack Surface Management

     Info
    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (7)

     Info
    Dimension
    Cost/hour
    t3.xlarge
    Recommended
    $0.96
    c5a.12xlarge
    $11.52
    c5a.8xlarge
    $7.68
    t3.large
    $0.48
    t3.2xlarge
    $1.92
    c5a.16xlarge
    $15.36
    c5.4xlarge
    $3.84

    Vendor refund policy

    HailBytes Refund Policy: Full refunds available within 24 hours of deployment for unresolved technical issues only.

    To request a refund: Stop all instances Email support@hailbytes.com  with Instance ID and issue details

    Refunds not available for: Usage beyond 24 hours Non-technical reasons Multiple deployment attempts Changed requirements

    Contact our Discord community for immediate technical support. Enterprise customers refer to contract terms.

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    Legal

    Vendor terms and conditions

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    Content disclaimer

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    Usage information

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    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    HailBytes ASM 1.4695, first release under the HailBytes ASM Platform brand (formerly reNgine Cloud).

    What's new in the rebrand:

    • HailBytes ASM is the productized, multi-tenant evolution of reNgine Cloud, with a focus on continuous attack surface management rather than one-off recon runs. All previous reNgine Cloud capabilities are preserved.
    • Versioning has moved to a 1.<commit_count> scheme tied directly to the upstream HailBytes ASM repository, replacing the legacy reNgine 2.x line. This release supersedes the reNgine 2.2.5 AMI.

    Highlights since the last marketplace release:

    • Redesigned dashboard overview with denser KPI strip, severity chips, and live-updating scan progress and timeline on the scan detail page.
    • New per-scan live status JSON endpoint with backoff and visibility-pause polling for lighter browser load.
    • Findings status subtabs now show real counts; triage banner and target risk-score cards migrated to the redesign token system.
    • Compliance report template hygiene fixes (no more leaked comments in rendered PDFs) and consolidated severity badge rendering.
    • Performance: batched dashboard KPI count queries and new tenant composite indexes; enterprise-scale example seed data for realistic local testing.
    • UAT pipeline: django-silk profiling wired into CI with captured artifacts; fix for the body.loading white-screen race on slow first paint.
    • Hotfixes carried forward from reNgine 2.2.5 for nuclei core workflow breakage and subscan handling.

    Upgrade notes:

    • Existing reNgine Cloud AMI buyers can launch this AMI as a drop-in replacement; data and engine YAML configurations remain compatible.
    • Default OS is now Ubuntu 24.04.1 LTS.

    Additional details

    Usage instructions

    Initial Setup

    1. Launch the HailBytes ASM instance from AWS Marketplace.
      • Recommended instance type: t3.large (minimum: 2 vCPU, 8 GB RAM, 40 GB disk).
      • Default OS user: ubuntu (SSH key-based auth on port 22).
    2. Configure network security:
      • Inbound TCP/443 (HTTPS) from your admin CIDR for the HailBytes ASM web UI.
      • Inbound TCP/22 (SSH) from your admin CIDR for instance management.
      • Outbound 443 to the public internet so scan tools (nuclei, subfinder, amass, etc.) can reach target assets and update their data feeds.
    3. First boot (5 to 10 minutes):
      • The instance bootstraps PostgreSQL, Redis, the Django web app, Celery workers, and the bundled recon toolchain (30+ tools) automatically.
      • Wait until cloud-init completes before browsing to the UI.
    4. Access the web console:
      • Navigate to https://<EC2-public-DNS>/ in your browser.
      • You will see a self-signed TLS warning on first launch; accept it or install your own certificate (see "TLS and Custom domain" below).
    5. Create the first admin account:
      • SSH to the instance: ssh ubuntu@<EC2-public-DNS>
      • Run: sudo docker compose exec web python manage.py createsuperuser
      • Log in to the web UI with the credentials you just created.

    Configuration

    • API keys for AI analysis (OpenAI, OpenRouter, Ollama), notification webhooks (Slack, Discord, Telegram), and SIEM integrations (Splunk HEC, Microsoft Sentinel, generic Syslog or Webhook) are all configured from Settings inside the web UI. No file edits required.
    • Scan engines can be customized through the in-app Engine Wizard (Goal, Depth, Notifications) without writing YAML.
    • Scheduled and continuous scans are managed under Targets, Schedule.

    TLS and Custom domain

    • Replace /etc/nginx/certs/{cert.pem,key.pem} with your own certificate.
    • Restart the proxy: sudo docker compose restart proxy

    Upgrades

    • Pull the latest images and restart: sudo docker compose pull && sudo docker compose up -d
    • Database migrations run automatically on container start.

    Support and Documentation

    Resources

    Support

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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