Version: 1.0
Last Updated: July 19, 2025
Audience: Security Operations, IT Administrators, DevOps, Incident Response Teams
1. Introduction
This document provides a comprehensive reference for QSafe, covering architecture, setup, core modules, workflows, administration, integration, troubleshooting, and FAQs. It is intended to help you deploy, configure, and operate QSafe effectively to safeguard your organization’s digital assets.
1.1 Purpose
- Describe QSafe’s system components and data flows
- Detail each module’s features, usage, and configuration
- Explain integration options and security controls
- Provide troubleshooting guidance and best practices
1.2 Document Organization
- Overview & Benefits
- Architecture & Data Flow
- Core Functional Modules
- User Interface & Reporting
- API Reference
- Deployment & Integrations
- Security & Compliance
- Administration & RBAC
- Best Practices
- Troubleshooting & Support
- FAQs & Glossary
2. QSafe Overview & Benefits
QSafe is a cloud-native platform that continuously monitors your external attack surface—domains, social media, mobile apps, public networks, and the dark web—and automates remediation to protect brand reputation and reduce risk.
2.1 Key Benefits
- Comprehensive Coverage: Domain, social, app, network, and dark-web monitoring in one platform.
- Real-Time Alerts: Email, Slack, Teams, and webhook notifications for critical threats.
- Automated Takedowns: Built-in legal notice generation and API-driven removal across registrars and app stores.
- Scalable Architecture: Multi-tenant SaaS with optional on-prem collector for internal assets.
- Predictive Intelligence (Beta): Machine-learning forecasts of emerging phishing campaigns.
3. Architecture & Data Flow
3.1 System Components
- Data Ingestion Layer: Crawlers, DNS feeds, WHOIS API, social-media connectors, app-store scrapers, dark-web scanners.
- Analysis Engine: Typosquatting detector, similarity algorithms, reverse-engineering pipeline, vulnerability scanner.
- Risk Scoring Service: Composite scoring based on impact, exploitability, and brand sensitivity.
- Notification & Workflow: Alert router, webhook dispatcher, ticketing connectors.
- Management UI & API: React-based portal, RESTful API, role-based access control (RBAC).
3.2 Data Flow Diagram
(Insert diagram here showing arrows from data sources → ingestion → analysis → scoring → UI/API → takedown loop.)
4. Core Functional Modules
4.1 Domain Monitoring
- Feature Highlights: Typosquatting detection, newly registered look-alike domains, WHOIS & DNS change alerts.
Workflow:
- Seed your brand keywords and domain list.
- Crawler collects new registrations every 2 hours.
- Similarity engine flags suspicious domains with confidence scores.
- Generate takedown notice or initiate API call.
- Configuration: Adjustable scan frequency, similarity threshold, automated vs manual takedown.
- Scans Twitter, Facebook, LinkedIn, Instagram, Telegram, TikTok.
- Impersonation detection using handle/name similarity and logo matching.
- Built-in sentiment analysis to detect brand-related negative campaigns.
- Custom keyword alerts for crises or emerging rumors.
4.3 Mobile App Monitoring
- Automated discovery of counterfeit Android (.apk) and iOS (.ipa) packages.
- Reverse-engineering pipeline extracts permissions, API calls, embedded URLs.
- Malicious code detection via static analysis and heuristic rules.
- One-click takedown requests to Play Store, App Store, third-party markets.
4.4 Vulnerability & Network Scanning
- Scheduled web server scans for OWASP Top 10, CVEs, misconfigurations.
- Port scanning (TCP/UDP) with service fingerprinting and SSL/TLS checks.
- Server reputation scoring using passive DNS and threat-intel feeds.
- Certificate expiry alerts and automated renewal reminders.
4.5 Dark Web Monitoring
- Surface & deep-web crawlers indexing TOR, I2P, Freenet forums.
- Data breach detection: credentials, PII, intellectual property leaks.
- Dark-market chatter analysis with actor profiling and risk clustering.
4.6 Automated Takedowns
- Legal-notice generator templates for domains, social profiles, apps.
- Registrar & registry API integrations (GoDaddy, Namecheap, Google Domains).
- App-store takedown coordination and status polling.
- Reactivation monitoring and repeat-request automation.
4.7 Predictive Threat Intelligence (Beta)
- Machine-learning models trained on historical phishing campaigns.
- Actor clustering and phishing kit fingerprinting.
- Actionable risk forecasts with recommended proactive containment steps.
5. User Interface & Reporting
5.1 Dashboard Overview
- Global risk heatmap by geography and module
- Top 10 active threats and open takedown tickets
- Compliance scorecards for SLA/NFR metrics
5.2 Alerts & Notifications
- Email templates with threat details and remediation steps
- Webhook payload schema for SIEM/SOAR ingestion
- Slack & Microsoft Teams integration with interactive buttons
5.3 Reporting & Exports
- On-demand PDF/CSV reports for executive summary
- Scheduled email reports (daily/weekly/monthly)
- Custom report builder for ad-hoc compliance audits
6. API Reference (Overview)
All API calls require OAuth2 Bearer token in Authorization header. Base URL: https://api.qsafe.example.com/v1
6.1 Authentication
POST /oauth2/token
Body: { "client_id": "...", "client_secret": "...", "grant_type": "client_credentials" }
Response: { "access_token": "...", "expires_in": 3600 }
6.2 Sample Endpoints
GET /domains – List monitored domainsPOST /domains – Add new domain to monitoringGET /alerts – Retrieve recent alertsPOST /takedowns – Initiate takedown for a threat
7. Deployment & Integrations
7.1 SaaS Deployment
- Multi-tenant architecture in AWS with auto-scaling groups
- Data encrypted at rest (AES-256) and in transit (TLS 1.3)
7.2 On-Prem Collector
- Docker image to scan internal assets behind firewall
- Secure tunnel to cloud analysis engine
7.3 Third-Party Integrations
- SIEM/SOAR: Splunk, IBM QRadar, Palo Alto XSOAR
- Ticketing: ServiceNow, Jira, Zendesk
- Collaboration: Slack, Teams, PagerDuty
8. Security & Compliance
- Data Privacy: GDPR, CCPA alignment
- Access Control: RBAC, SSO via SAML 2.0 / OAuth
- Audit Logging: Immutable logs of user actions & API calls
- Penetration Testing: Quarterly third-party VAPT
9. Administration & RBAC
- Roles: Administrator, Analyst, Viewer
- Permissions: Module-level read/write, alert management, takedown approvals
- User Provisioning: Manual & SCIM integration for directory sync
10. Best Practices
- Establish a baseline scan on Day 1 and review top-10 risks.
- Configure severity thresholds to reduce false positives.
- Integrate alerts into your IR playbook and ticketing workflows.
- Review monthly trend reports with stakeholders.
- Pilot predictive threat intel in a non-production environment.
11. Troubleshooting & Support
11.1 Common Issues
- Missing Domains: Verify DNS feed credentials and permissions.
- API Timeouts: Check network connectivity to
api.qsafe.example.com and proxy settings. - Collector Offline: Inspect Docker logs and ensure tunnel port is open.
11.2 Log Locations
- Ingestion logs:
/var/log/qsafe/ingest.log - Analysis logs:
/var/log/qsafe/analysis.log - UI/API logs:
/var/log/qsafe/api.log
Email: support@qsafe.example.com
Phone: +1-800-QSFE-123
Portal: support.qsafe.example.com
12. FAQs & Glossary
12.1 FAQs
- Q: What is QSafe’s SLA for takedown requests?
- A: Takedown requests are typically processed within 24–72 hours, depending on registrar/app-store response time.
- Q: Can I customize alert channels per module?
- A: Yes – configure separate webhooks, email lists, or Slack channels for each monitoring module.
12.2 Glossary
- Typosquatting
- Registration of domains closely resembling your legitimate domain.
- Reverse Engineering
- Decompiling and analyzing app binaries to uncover hidden code paths.
- Dark Web
- Portions of the internet accessible only via specialized tools (e.g., TOR) where illicit trade and data leaks occur.
Category: Product Documentation / QSafe
Tags: QSafe, Brand Protection, Domain Monitoring, Dark Web, Takedown Services, Vulnerability Scanning