0%
Loading Experience...

Dual-Platform Collaborative
System Architecture

Enterprise password management with automated breach detection, zero-knowledge encryption, and Keychain-inspired architecture

Introducing GO TRIGGER
A dual-platform collaborative system combining enterprise password management with automated security features. Built with Go, Flutter, and Electron, featuring Keychain-inspired architecture for unparalleled security.
Production-Ready Platform
Deployed on enterprise infrastructure with CI/CD automation, supporting Desktop (Electron/Angular), Mobile (Flutter iOS), and comprehensive REST APIs built with Go 1.24. Senior capstone project demonstrating full-stack development, DevOps automation, and enterprise security architecture.

Team Organization

Izaac
Member 01
Role
SCRUM Master and System Architect
Responsibilities
SCRUM facilitation, Sprint planning, System architecture, Team coordination
Ken
Member 02
Role
CI/CD Pipeline Architect
Responsibilities
CI/CD pipeline architecture, DevOps automation, Deployment strategies
Devon
Member 03
Role
Desktop & Mobile API and Cloud Infrastructure
Responsibilities
Desktop & Mobile API development, Cloud infrastructure, Scalability solutions
Jared
Member 04
Role
Security & Pentesting
Responsibilities
Security testing, Penetration testing, Vulnerability assessment, Security auditing
Jules
Member 05
Role
Project Manager
Responsibilities
Project coordination, Team management, Timeline oversight, Stakeholder communication

System Architecture

GO TRIGGER System Architecture Diagram

Microservices Design

Authentication Service (Go)
Notification Service (Go)
File Management Service (Go)
Real-time Sync Service (WebSocket)

Technology Stack

Go 1.21 Flutter Electron/Angular
PostgreSQL Redis Docker

Client Applications

Mobile App

Flutter (iOS & Android)

Native mobile experience with biometric auth

Desktop App

Electron with Angular

Full-featured desktop client for power users

Application in Action

Advanced Password Rotation Engine

Automated password rotation through advanced web scraping, proxy rotation, and bot detection evasion techniques

PHASE 01 Proxy Infrastructure
Container Preflight Check

Automated proxy validation and health monitoring

Preflight Proxy Check
Total Proxies: 0
Working: 0 (43.2%)
Avg Speed: 0.35s
Protocol: SOCKS4
PHASE 02 Intelligent Link Scraping
Advanced Web Scraping with Scrapling

Utilizing D4Vinci/Scrapling for intelligent link extraction

Scraper Reset Links
58% Scraping in progress...
JavaScript rendering support
Anti-detection mechanisms
Retry: 3/5 attempts
Parallel threads: 8
PHASE 03 Bot Detection Evasion
Evading EDR Systems

Advanced techniques from Matt Hand's guide to defeating endpoint detection

SCANNING
EDR Systems
Datadome
API Challenges
Status: BYPASSED ✓
PHASE 04 Automated Reset Activation
Multi-Method Activation

Various techniques for triggering password resets

🔄
ACTIVE
Multi-Method Activation
2Captcha Integration
Continuous Rotation
Passwords Rotated: 0

Technical Implementation

Container Orchestration
docker run -d \
  --name proxy-rotator \
  -p 8080:8080 \
  -v /proxies:/data \
  go-trigger/proxy-manager
Scraping Configuration
from scrapling import Fetcher

fetcher = Fetcher(
    auto_match=True,
    headless=True,
    proxy_rotation=True
)

CI/CD Pipeline

CI/CD Pipeline Diagram

CI/CD Pipeline Stages

Code Commit

Git push triggers automated pipeline

Code Analysis

Static analysis, linting, security scanning

Testing

Unit, integration, and E2E tests

Build

Docker image creation and registry push

Deploy

Kubernetes rolling deployment

Cloud Infrastructure

Leveraging enterprise-grade cloud providers for global scale, reliability, and performance. Our multi-cloud strategy ensures redundancy and optimal geographic distribution.

DigitalOcean

North American Infrastructure

Kubernetes Clusters

Managed K8s for container orchestration

Spaces Object Storage

S3-compatible storage for assets

Managed Databases

PostgreSQL clusters with automatic failover

App Platform

Serverless deployment for microservices

0
Data Centers
99.99%
Uptime SLA
<50ms
Global Latency

Hetzner Cloud

European & Backup Infrastructure

High-Performance VMs

Dedicated vCPU for consistent performance

Private Networks

Isolated network infrastructure for security

Block Storage

SSD volumes with automatic snapshots

DDoS Protection

Built-in protection against attacks

0
EU Data Centers
GDPR
Compliant
40%
Cost Savings
Traffic Gateway: Nginx Proxy Manager

Centralized Traffic Management

All traffic routes through our DigitalOcean droplet gateway using Nginx Proxy Manager, providing centralized SSL management and intelligent load balancing between services.

Nginx Proxy Manager Routing
🌐 Active Proxy Hosts
🔐 Let's Encrypt SSL
🎯 Routes to Hetzner (5.xxx.xxx.x:*)
⚙️ Jenkins on :8080
100% Uptime - All Services Online
Container Orchestration: Portainer

Docker Container Management

Centralized container management across our infrastructure using Portainer Community Edition. Real-time monitoring and deployment of containerized services.

Portainer Container Management
🐳 Multiple Active Containers
Running Health Status
🔌 Managed Port Mapping

Multi-Cloud Architecture Benefits

Geographic Distribution

Servers across NA and EU for low latency globally

Redundancy

Automatic failover between providers ensures 100% uptime

Cost Optimization

Leveraging best pricing for different workloads

Compliance

Meeting regional data regulations with proper hosting

Security Testing: Black Arch Linux

SSH Vulnerabilities Identified

SSH Audit
Critical SSH Vulnerabilities
NSA Backdoored Algorithms – 4 elliptic curve implementations suspected of containing NSA backdoors
Broken Cryptography – SHA-1 hash algorithms still enabled (known to be broken)
Weak Encryption – 2048-bit DH group providing only 112-bit security
SSH Audit Vulnerabilities
Brute Force
SSH Brute-Forcing Tools Comparison

Hydra: The most used and versatile brute-forcing tool. Performs rapid, parallelized login attempts against many services, including SSH.

hydra -L user_list.txt -p placeholder_password ssh://your.server.ip

Patator: Modern flexible brute-forcing tool; less prone to false positives and has modular design.

patator ssh_login host=your.server.ip user=FILE0 0=user_list.txt password='doesnotmatter'
Patator Brute Force Test
Log Analysis
Key Security Events & What They Mean
Log Analysis

Connection closed by invalid user ... [preauth]: This is the most common line. It means the connection was closed before authentication even finished because the username didn't exist. This is your first line of defense.

Connection closed by authenticating user root ... [preauth]: This is more serious. The username root is valid, but the connection was closed because the password was wrong. This confirms to the attacker that root is a valid account on your system.

error: maximum authentication attempts exceeded ... Too many authentication failures: This is a key security feature in action! Your SSH server (sshd) is detecting multiple failed login attempts from a single IP and is cutting them off. This is exactly what you want to see. It's likely due to a setting like MaxAuthTries in your sshd_config.

Web Scanner
Nikto Web Vulnerability Scanner

Nikto: Command-line based web vulnerability scanner.

nikto -h http://<ip.address>

Key Findings:

1. Clickjacking Vulnerability (Medium Risk)

+ /: The anti-clickjacking X-Frame-Options header is not present.

What is Clickjacking? A user is tricked into clicking something different from what they perceive (UI Redress Attack).

Impact: User interface manipulation, action hijacking. Malicious actors can embed and manipulate our CI/CD interface with malicious iframes.

2. Server Identification

+ Root page / redirects to: https://jenkins.aethermail.is/

Server is running Jenkins, a popular CI/CD automation server that often has weak default credentials.

3. MIME Type Confusion (Low Risk)

+ /: The X-Content-Type-Options header is not set.

Vulnerability: MIME (Multipurpose Internet Mail Extensions) type confusion.

Impact: Browser might render content incorrectly. Example: API Response Hijacking.

Key Security Tools

SSH Security
SSH Audit
Identifies weak cryptographic algorithms
Detects NSA backdoored elliptic curves
Validates SSH server configurations
Brute Force
Hydra
Rapid parallelized login attempts
Supports multiple protocols (SSH, FTP, HTTP)
Tests password strength and policies
Brute Force
Patator
Modern modular brute-forcing framework
Less prone to false positives
Flexible authentication testing
Web Scanner
Nikto
Comprehensive web vulnerability scanning
Detects server misconfigurations
Identifies outdated software versions

Real-World Impact: Why Security Testing Matters

Attack Chain
SSH Compromise Scenario
Step 1: Weak SSH configuration discovered via audit
Step 2: Brute force attack succeeds on weak passwords
Step 3: Server compromise grants database access
Step 4: Password vault data breach affects users
Attack Chain
Web Exploitation Scenario
Step 1: Missing security headers detected by Nikto
Step 2: Clickjacking attack embeds CI/CD interface
Step 3: Malicious code injected into deployment pipeline
Step 4: Supply chain attack compromises all deployments
Statistics
Breach Impact Metrics
Average data breach cost: $4.45M (IBM 2023)
Average time to identify breach: 204 days
Password manager breaches cause irreparable trust damage
Preventative testing costs <1% of breach remediation
Validation
Why Test Production Infrastructure
Real servers with real attack surface exposure
Validates security claims to stakeholders
Discovers issues before malicious actors
Demonstrates security-first development mindset
Insights
Key Lessons Learned
SSH Hardening is Critical: Weak cryptography and default settings create easy entry points for attackers
Security Headers Matter: Missing X-Frame-Options and X-Content-Type-Options enable UI manipulation attacks
Defense-in-Depth Works: MaxAuthTries successfully blocked brute force attempts in real-time
Logging Saves Lives: SSH logs revealed attack patterns, IP addresses, and vulnerability exploitation attempts
Proactive Testing Essential: Identifying vulnerabilities before deployment prevents costly post-breach remediation

Adoption and Audience

Target Audience

Primary Users
Security & Privacy Focused
Security-conscious individuals seeking zero-knowledge password management
Privacy advocates who want full control over their encrypted data
Multi-device users needing seamless cross-platform sync (Desktop, Mobile, Web)
Power users migrating from existing password managers (supports 45+ import formats)
Secondary Users
Enterprise & Teams
Developers & IT professionals requiring enterprise-grade security patterns
Organizations needing self-hosted password management solutions
Teams looking for encrypted credential sharing (roadmap feature)

Key Adoption Drivers

Security
Security First
Triple-layer encryption inspired by Apple Keychain architecture
Zero-knowledge design - server never sees plaintext
Biometric authentication (Face ID/Touch ID/Windows Hello)
Ed25519 cryptographic peer verification
Migration
Ease of Migration
Import from 45+ password managers (59 formats total)
CSV: LastPass, 1Password, Chrome, Firefox, etc. (29 importers)
JSON: Bitwarden, Proton Pass, 1Password 1PUX (10 importers)
XML: KeePass2, Password Safe (6 importers)
Platform
Cross-Platform
Desktop client (Electron + Angular) - Windows, macOS, Linux
Mobile client (Flutter) - iOS (Android in roadmap)
Real-time WebSocket sync across all devices
Control
Self-Hosted Control
Docker deployment ready
SQLite/Postgres backend options
Full data sovereignty

Competitive Advantages

Differentiators
What Sets Us Apart
Enterprise-grade architecture using proven Apple Keychain patterns
Zero vendor lock-in - self-hosted & open source (MIT license)
Comprehensive import support - easiest migration path
BIP-39 recovery phrases for account recovery
Conflict-free sync with Merkle-style manifests

Current Adoption Stage

Status
Production-Ready MVP
Platforms: Desktop ✅ | iOS ✅ | Android 🚧 | Browser Extension 🚧
Deployment: Docker-ready with deployment guides
Documentation: Comprehensive guides & API docs

Challenges & Solutions

Building a password rotation engine at scale presented unique technical and operational challenges.

01

False DDoS Flagging - Hetzner Incident

The Problem

Our legitimate password rotation requests were flagged as HTTP DDoS attacks by Cloudflare's network, resulting in an abuse complaint from Hetzner.

3,000+
Requests Mitigated
24hrs
Service Disruption

Our Solution

  • Implemented request rate limiting and exponential backoff
  • Added user-agent rotation and request fingerprinting
  • Distributed requests across multiple IP addresses
  • Whitelisted our IPs with major CDN providers
Hetzner DDoS Incident Report
02

Gmail OAuth Scope Restrictions

The Challenge

Google's restricted OAuth scopes prevented automated email parsing for password reset links without extensive verification.

Resolution

Developed a hybrid approach using Gmail API for metadata and secure user-authorized access for content parsing.

03

CAPTCHA & Bot Detection

The Challenge

Modern websites implement sophisticated bot detection and CAPTCHA systems that block automated password rotation.

Our Approach

  • Integrated 2Captcha and Anti-Captcha services
  • Implemented browser automation with Playwright
  • Developed ML-based CAPTCHA solving for simple challenges
  • Created human-like interaction patterns
04

Self-Led Project Management

The Challenge

As a self-led project without external oversight, it was difficult to stay on pace with our Jira schedule and sprint backlog. Managing 11 sprints across 6 months required extreme discipline.

11
Total Sprints
2x/week
Team Meetings
14-16hrs
Per Session

Our Solution: Marathon Coding Sessions

  • Team met twice weekly for marathon coding sessions
  • Sessions ran from 6-7 AM to 8-10 PM (14-16 hours)
  • Completed entire sprint backlogs in single sessions
  • Always stayed ahead of schedule through intense focus
  • Used pair programming to maintain code quality
  • Implemented daily standups via Discord when not meeting
Marathon Coding Session
Jira Sprint Board
05

Infrastructure Scaling

The Challenge

Initial architecture couldn't handle concurrent rotation requests for 10,000+ users without significant latency.

Solution Implemented

  • Migrated to Kubernetes for auto-scaling
  • Implemented Redis queue for job distribution
  • Added horizontal pod autoscaling
  • Optimized database queries and added caching layers

Key Takeaways

Rate Limiting is Critical

Always implement proper rate limiting to avoid being flagged as malicious traffic

Distributed Architecture

Distribute requests across multiple IPs and regions to avoid detection

Provider Communication

Proactively communicate with hosting providers about your legitimate use case

Monitor Everything

Comprehensive monitoring helps identify issues before they become critical

Q&A: Questions?

Thank You for Your Attention!

We're ready to answer any questions about the Go-Trigger platform.

Contact Information

GitHub Repository
github.com/go-trigger
Contact Team
team@go-trigger.io
Documentation
docs.go-trigger.io

Scroll to explore