Second Modification
هذا الالتزام موجود في:
23
common-mortakaz/integration-1.md
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23
common-mortakaz/integration-1.md
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Product 1: Jadal + Ghaymah Systems
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Integration Proposal: Jadal + Ghaymah Systems
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Product Description
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||||
Jadal is a cloud-based sports court management platform that helps sports facility owners manage court reservations, memberships, customer information, payments, scheduling, and daily operations through a centralized dashboard. It simplifies facility management while providing customers with a smooth online booking experience.
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|
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Integration with Ghaymah Systems
|
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Jadal can use Ghaymah Systems as its cloud infrastructure platform to improve scalability, reliability, and security.
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The proposed integration includes:
|
||||
• Hosting Jadal's backend services on Ghaymah Compute.
|
||||
• Using Ghaymah Block Storage for reservation records, invoices, and uploaded documents.
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• Running automated backups using Ghaymah Backup.
|
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• Monitoring servers and application performance.
|
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• Scaling computing resources automatically during periods of high booking activity.
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• Protecting customer data through secure cloud infrastructure.
|
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|
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Integrating Jadal with Ghaymah Systems provides several advantages:
|
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• Faster booking experience.
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• High system availability during peak hours.
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• Secure storage of reservation and payment information.
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• Automatic backups to reduce the risk of data loss.
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• Better scalability as the number of sports facilities and customers grows.
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|
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This results in a more reliable and secure platform for both facility owners and customers.
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25
common-mortakaz/integration-2.md
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25
common-mortakaz/integration-2.md
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Circle Panel + Ghaymah Systems
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Product Description
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Circle Panel is an AI-native user research platform that helps organizations plan and manage user research projects. It allows teams to recruit participants, schedule interviews, collect user feedback, generate live transcripts, and produce AI-powered insights and reports from research sessions.
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Proposed Integration with Ghaymah Systems
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Circle Panel can use Ghaymah Systems as its cloud infrastructure provider.
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Integration Components
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• Ghaymah Kubernetes to host backend services.
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• Ghaymah Object Storage for interview recordings and transcripts.
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• Ghaymah Block Storage for databases.
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• Ghaymah Load Balancer for high availability.
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• Ghaymah IAM for user authentication and access control.
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• Ghaymah Backup Service for disaster recovery.
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|
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The application will upload recordings directly to Ghaymah Storage while AI services analyze transcripts and generate reports.
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The integration provides several benefits:
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• Faster response time through scalable cloud infrastructure.
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• Secure storage of sensitive interview recordings.
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• Automatic backup and disaster recovery.
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• High availability during large research projects.
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• Lower operational costs due to elastic cloud resources.
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Organizations can focus on research without worrying about infrastructure management.
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ملف ثنائي غير معروض.
ملف ثنائي غير معروض.
101
q1-Security-Audit/q1-security-audit.md
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101
q1-Security-Audit/q1-security-audit.md
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Task1:
|
||||
|
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1. Introduction
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1.1 Objective
|
||||
The objective of this security audit is to assess the security posture of an application deployed on the Ghaymah Cloud platform. The audit focuses on five key security domains:
|
||||
• Container Security
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||||
• Network Security
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• OWASP Top 5
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• Data Security
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• Identity and Access Management (IAM)
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The goal is to identify potential security weaknesses and recommend best practices to reduce security risk.
|
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|
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2. Security Audit Checklist
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A. Container Security
|
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1. Scan Container Images for Vulnerabilities
|
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All Docker images should be scanned before deployment as old packages may contain known CVEs.
|
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|
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How to apply on Ghaymah
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Before deploying the image to Ghaymah:
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• Scan image using Trivy.
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• Fix High and Critical vulnerabilities.
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• Only deploy clean image
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2. Run Containers as Non-root
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Containers should never run with root privileges as if an attacker escapes the application, they will gain root access inside the container
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|
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3. Store Secrets Securely
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Never hardcode passwords or API keys inside the Docker image.
|
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How to apply on Ghaymah
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Use:
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• Environment Variables
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• Secret Management
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• Encrypted configuration
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________________________________________
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|
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B. Network Security
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4. Allow Only Required Ports
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Expose only necessary ports by Configuring Security Groups / Firewall Rules
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5. Enforce HTTPS
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All traffic must use HTTPS since it protects credentials and user data.
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How to apply it:
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We can install an SSL certificate and redirect HTTP → HTTPS
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6. Restrict Internal Network Communication
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||||
Database should never be publicly accessible we will accomplish this by Network Policies concept to isolate workloads.
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________________________________________
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C. OWASP Top 5
|
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7. Prevent Broken Access Control
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Users should only access authorized resources by Role-Based Access Control (RBAC).
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8. Prevent Injection
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Use parameterized queries
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9. Encrypt Sensitive Data
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Passwords
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↓
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Hash using bcrypt
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Sensitive files
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↓
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AES Encryption
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HTTPS
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↓
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TLS
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10. Secure Configuration
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Disable
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• Debug Mode
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• Default Passwords
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• Directory Listing
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And update configuration regularly
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11. Keep Components Updated
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Always update:
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• Docker Images
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• Libraries
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• Operating System
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Use Trivy to detect outdated packages.
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________________________________________
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D. Data Security
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12. Encrypt Data at Rest
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All stored data should be encrypted.
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E.G.
|
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• Block Storage
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• Database
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• Backups
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13. Backup Critical Data
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Implement automatic backups.
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• Daily Backup
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• Weekly Full Backup
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• Off-site Backup
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________________________________________
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E. Identity & Access Management
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14. Enable Multi-Factor Authentication (MFA)
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Administrators should authenticate using
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• Password
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• OTP / Authenticator App
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________________________________________
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15. Apply Least Privilege Principle
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Every user receives only the permissions they actually need.
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ملف ثنائي غير معروض.
140
q2-Attack-Simulation/q2-Attack-Simulation.md
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140
q2-Attack-Simulation/q2-Attack-Simulation.md
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Task2:
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Attack Scenario
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An attacker successfully performed a brute-force attack against the application's login API hosted on Ghaymah Cloud.
|
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After compromising a valid user account, the attacker accessed sensitive customer data and exfiltrated part of the database.
|
||||
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________________________________________
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||||
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Attack Flow
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||||
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Internet
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↓
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Recon
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||||
↓
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||||
API Discovery
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||||
↓
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Brute Force
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||||
↓
|
||||
Successful Login
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||||
↓
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Data Access
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||||
↓
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||||
Data Exfiltration
|
||||
↓
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||||
Cleanup
|
||||
________________________________________
|
||||
Root Cause Analysis
|
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The attack succeeded because:
|
||||
• No Rate Limiting on the login endpoint.
|
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• Weak user password.
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• No Multi-Factor Authentication (MFA).
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||||
• Insufficient monitoring of repeated failed logins.
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||||
• Missing Web Application Firewall (WAF) protections.
|
||||
2. Incident Response Plan
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||||
Phase 1 – Identification
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||||
Objectives:
|
||||
• Confirm the brute-force attack.
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• Identify affected user accounts.
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||||
• Determine compromised resources.
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||||
• Preserve forensic evidence.
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||||
Actions:
|
||||
• Review application logs.
|
||||
• Analyze firewall logs.
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||||
• Check authentication logs.
|
||||
• Identify suspicious IP addresses.
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||||
________________________________________
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||||
Phase 2 – Containment
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||||
Immediate actions:
|
||||
• Disable compromised accounts.
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||||
• Block malicious IP addresses.
|
||||
• Enable emergency rate limiting.
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||||
• Rotate exposed API tokens.
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||||
• Isolate affected application containers if necessary.
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||||
________________________________________
|
||||
|
||||
|
||||
|
||||
|
||||
Phase 3 – Eradication
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||||
Remove the root cause.
|
||||
Tasks:
|
||||
• Force password reset.
|
||||
• Patch authentication vulnerabilities.
|
||||
• Remove malicious scripts.
|
||||
• Update security configurations.
|
||||
• Scan containers using Trivy.
|
||||
________________________________________
|
||||
Phase 4 – Recovery
|
||||
Actions:
|
||||
• Restore clean services.
|
||||
• Monitor user authentication.
|
||||
• Validate system integrity.
|
||||
• Notify affected customers.
|
||||
• Resume production gradually.
|
||||
________________________________________
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||||
Phase 5 – Lessons Learned
|
||||
Conduct a post-incident review.
|
||||
Questions:
|
||||
• Why did monitoring fail?
|
||||
• Why wasn't MFA enabled?
|
||||
• Why were brute-force attempts not detected?
|
||||
• Which controls should be added?
|
||||
________________________________________
|
||||
|
||||
3. Preventing the Attack on Ghaymah Cloud
|
||||
Network Security Controls
|
||||
API Rate Limiting
|
||||
E.G. Maximum 5 login attempts per minute/per IP
|
||||
|
||||
Web Application Firewall (WAF)
|
||||
Configure rules to:
|
||||
• Detect brute-force attacks.
|
||||
• Block suspicious IP addresses.
|
||||
• Prevent SQL Injection.
|
||||
• Prevent XSS.
|
||||
Firewall Rules
|
||||
Only expose => HTTPS (443)
|
||||
Restrict:
|
||||
• SSH
|
||||
• Database ports
|
||||
• Internal services
|
||||
Network Segmentation
|
||||
Application
|
||||
↓
|
||||
Private Network
|
||||
↓
|
||||
Database
|
||||
The database should never be directly accessible from the Internet.
|
||||
|
||||
|
||||
|
||||
|
||||
Container Security Controls
|
||||
• Scan every Docker image before deployment.
|
||||
• Run containers as non-root users.
|
||||
• Store secrets securely.
|
||||
• Use read-only file systems when possible.
|
||||
• Apply least privilege to Kubernetes service accounts.
|
||||
• Continuously monitor container runtime activity.
|
||||
________________________________________
|
||||
4. Alert Rule for Early Detection
|
||||
Detection Logic
|
||||
Trigger an alert if:
|
||||
More than 10 failed logins from the same IP within 60 seconds.
|
||||
________________________________________
|
||||
Additional Detection Rules
|
||||
Alert when:
|
||||
• Login attempts originate from multiple countries in a short time.
|
||||
• One account receives failed logins from multiple IPs.
|
||||
• Sudden spike in authentication failures.
|
||||
• API requests exceed expected thresholds.
|
||||
________________________________________
|
||||
Recommendations
|
||||
• Enable MFA for all users.
|
||||
• Implement account lockout after repeated failures.
|
||||
• Deploy a Web Application Firewall.
|
||||
• Use centralized logging with SIEM.
|
||||
• Perform continuous container vulnerability scanning.
|
||||
• Conduct regular penetration testing.
|
||||
ملف ثنائي غير معروض.
78
q3-Privacy-Assessment/q3-Privacy-Assessment.md
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78
q3-Privacy-Assessment/q3-Privacy-Assessment.md
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|
||||
|
||||
Task3:
|
||||
|
||||
Executive Summary
|
||||
This report evaluates the privacy posture of mithal.space by analyzing cookies, HTTPS implementation, third-party resources, and security-related behaviors using browser developer tools.
|
||||
Overall, the website demonstrates good privacy practices by using HTTPS and showing minimal evidence of third-party tracking. However, the use of external Google resources introduces limited third-party interactions.
|
||||
________________________________________
|
||||
Cookies Analysis
|
||||
Findings
|
||||
The inspection of mithal.space revealed no first-party cookies stored by the website.
|
||||
No session cookies, authentication cookies, or tracking cookies belonging to the website were observed.
|
||||
The only cookies visible in the browser belonged to external Google services and were
|
||||
unrelated to mithal.space.
|
||||
Privacy Impact
|
||||
This indicates that the website minimizes client-side tracking and does not rely on cookies for basic browsing functionality.
|
||||
|
||||
Risk Level: Very Low
|
||||
HTTPS Analysis
|
||||
Findings
|
||||
The website uses HTTPS successfully.
|
||||
Benefits:
|
||||
• Encrypts user traffic.
|
||||
• Prevents eavesdropping.
|
||||
• Protects search requests.
|
||||
• Ensures data integrity.
|
||||
Risk Level: Very Low
|
||||
________________________________________
|
||||
Security Headers
|
||||
From the inspection: HTTPS is enabled.
|
||||
Recommendation:
|
||||
Enable all modern security headers if any are missing.
|
||||
________________________________________
|
||||
Third-Party Resources
|
||||
The website loads Google Fonts.
|
||||
No clear evidence of:
|
||||
• Google Analytics
|
||||
• Facebook Pixel
|
||||
• DoubleClick
|
||||
was observed during the inspection.
|
||||
Privacy Impact: Low
|
||||
________________________________________
|
||||
|
||||
Privacy Rating
|
||||
Category Rating
|
||||
HTTPS Excellent
|
||||
Cookies Good
|
||||
Third-party Tracking Good
|
||||
User Privacy Good
|
||||
Overall 8.5 / 10
|
||||
________________________________________
|
||||
Security Improvements
|
||||
1. Add Strict Security Headers
|
||||
Implement:
|
||||
• Content-Security-Policy
|
||||
• HSTS
|
||||
• Referrer-Policy
|
||||
• X-Content-Type-Options
|
||||
|
||||
|
||||
2. Self-host Fonts
|
||||
Instead of loading Google Fonts,
|
||||
host fonts locally.
|
||||
Benefits
|
||||
• Better privacy
|
||||
• Faster loading
|
||||
• No third-party requests
|
||||
|
||||
3. Publish Privacy Policy
|
||||
Provide transparency regarding:
|
||||
• Cookies
|
||||
• Data Collection
|
||||
• Third-party services
|
||||
• Data Retention
|
||||
________________________________________
|
||||
|
||||
Conclusion
|
||||
Based on the inspection, mithal.space demonstrates a generally privacy-friendly configuration. HTTPS is correctly implemented, and no obvious tracking frameworks were detected during the inspection. The primary opportunity for improvement is reducing reliance on third-party services (such as externally hosted fonts) and strengthening HTTP security headers.
|
||||
|
||||
ملف ثنائي غير معروض.
81
q4-SIEM-and-Log-Analysis/q4-SIEM-and-Log-Analysis.md
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81
q4-SIEM-and-Log-Analysis/q4-SIEM-and-Log-Analysis.md
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@@ -0,0 +1,81 @@
|
||||
Task4:
|
||||
|
||||
1. Python Script to Collect and Analyze Logs
|
||||
Objective
|
||||
Develop a simple SIEM (Security Information and Event Management) system that collects logs from three different sources, analyzes them, and detects suspicious activities.
|
||||
Log Sources
|
||||
The SIEM collects logs from the following sources:
|
||||
1. System Logs (system.log)
|
||||
• Login attempts
|
||||
• User authentication
|
||||
• System events
|
||||
2. Web Server Logs (nginx.log)
|
||||
• HTTP requests
|
||||
• Status codes
|
||||
• Client IP addresses
|
||||
3. Application Logs (application.log)
|
||||
• Authentication failures
|
||||
• SQL Injection attempts
|
||||
• Application errors
|
||||
|
||||
Detection Rules
|
||||
The Python script should detect the following suspicious activities:
|
||||
Event Severity
|
||||
Multiple failed login attempts Medium
|
||||
SQL Injection attempts High
|
||||
Cross-Site Scripting (XSS) attempts High
|
||||
Port scanning High
|
||||
Large number of HTTP 404 errors Medium
|
||||
Root login attempts Critical
|
||||
|
||||
|
||||
Detection Process
|
||||
Read Log Files
|
||||
↓
|
||||
Parse Log Entries
|
||||
↓
|
||||
Match Detection Rules
|
||||
↓
|
||||
Generate Security Alerts
|
||||
↓
|
||||
Store Alerts in alerts.json
|
||||
|
||||
E.G.
|
||||
• More than 10 failed logins from the same IP within one minute → Generate a Medium Alert
|
||||
• Detection of SQL Injection → Generate a Critical Alert
|
||||
________________________________________
|
||||
2. SIEM Dashboard Design
|
||||
The dashboard provides a visual overview of security events.
|
||||
Dashboard Components
|
||||
• Total number of alerts
|
||||
• Alert severity statistics
|
||||
• Top suspicious IP addresses
|
||||
• Recent security events
|
||||
• Alert history
|
||||
|
||||
________________________________________
|
||||
3. Deploying the SIEM on Ghaymah Cloud
|
||||
Deployment Architecture
|
||||
Log Sources
|
||||
Python SIEM Engine => Block Storage => alerts.json => Web Dashboard
|
||||
Deployment Steps
|
||||
1. Create a Virtual Machine on Ghaymah Cloud.
|
||||
2. Install Python and Docker.
|
||||
3. Upload the SIEM project.
|
||||
4. Mount Ghaymah Block Storage to store log files permanently.
|
||||
5. Run the Python monitoring script.
|
||||
6. Deploy the dashboard using Nginx.
|
||||
7. Access the dashboard through a web browser.
|
||||
Why Use Block Storage?
|
||||
Using Ghaymah Block Storage provides:
|
||||
• Persistent storage
|
||||
• Reliable log retention
|
||||
• Easy backup and recovery
|
||||
• Scalability for large log files
|
||||
Future Improvements
|
||||
• Integrate Elasticsearch for log indexing.
|
||||
• Use Grafana or Kibana for advanced visualization.
|
||||
• Send alerts through email or Slack.
|
||||
• Deploy the SIEM inside Kubernetes.
|
||||
• Add machine learning for anomaly detection.
|
||||
|
||||
ملف ثنائي غير معروض.
@@ -0,0 +1,137 @@
|
||||
Task5:
|
||||
|
||||
Scenario
|
||||
A ransomware attack has encrypted all files stored on Ghaymah Block Storage.
|
||||
Users can no longer access their files, and the attacker demands payment in exchange for the decryption key.
|
||||
________________________________________
|
||||
1. Emergency Response Plan (First 60 Minutes)
|
||||
|
||||
0–15 Minutes: Identification & Isolation
|
||||
Objectives
|
||||
• Confirm that a ransomware attack has occurred.
|
||||
• Prevent the malware from spreading.
|
||||
Actions
|
||||
• Disconnect affected virtual machines from the network.
|
||||
• Disable access to shared Block Storage volumes.
|
||||
• Block suspicious IP addresses using firewall rules.
|
||||
• Stop scheduled synchronization tasks.
|
||||
• Notify the security and incident response teams.
|
||||
|
||||
|
||||
15–30 Minutes: Investigation
|
||||
Objectives
|
||||
Determine the scope of the attack.
|
||||
Actions
|
||||
• Review system and application logs.
|
||||
• Identify the ransomware entry point.
|
||||
• Determine which servers and storage volumes are affected.
|
||||
• Preserve logs and forensic evidence.
|
||||
• Check whether backups are intact.
|
||||
|
||||
30–45 Minutes: Containment & Eradication
|
||||
Objectives
|
||||
Remove the ransomware and stop further encryption.
|
||||
Actions
|
||||
• Isolate infected systems.
|
||||
• Scan all virtual machines with antivirus/EDR tools.
|
||||
• Remove malicious processes and scheduled tasks.
|
||||
• Rotate compromised credentials.
|
||||
• Patch exploited vulnerabilities.
|
||||
|
||||
45–60 Minutes: Recovery Preparation
|
||||
Objectives
|
||||
Prepare for service restoration.
|
||||
Actions
|
||||
• Verify the integrity of backups.
|
||||
• Restore critical services in a test environment.
|
||||
• Validate restored data.
|
||||
• Monitor systems for reinfection.
|
||||
Gradually return services to production.
|
||||
Timeline Summary
|
||||
Time Activity
|
||||
0–15 min Detect attack and isolate affected systems
|
||||
15–30 min Investigate logs and identify affected resources
|
||||
30–45 min Remove ransomware and secure infrastructure
|
||||
45–60 min Restore from backups and validate services
|
||||
________________________________________
|
||||
|
||||
2. Ghaymah Backup & Recovery Strategy
|
||||
|
||||
Recovery Point Objective (RPO)
|
||||
Definition: The maximum acceptable amount of data loss.
|
||||
Proposed Value: 15 minutes
|
||||
This means backups or snapshots should occur at least every 15 minutes for critical data.
|
||||
________________________________________
|
||||
Recovery Time Objective (RTO)
|
||||
Definition: The maximum acceptable downtime before services are restored.
|
||||
Proposed Value: 1 hour
|
||||
Critical applications should be operational again within one hour.
|
||||
________________________________________
|
||||
Backup Strategy
|
||||
Daily Incremental Backups
|
||||
Capture only changes made since the previous backup.
|
||||
Advantages: Faster , Less storage usage
|
||||
________________________________________
|
||||
Weekly Full Backup
|
||||
Create a complete copy of all Block Storage volumes.
|
||||
Advantages: Faster restoration, Simplified disaster recovery
|
||||
________________________________________
|
||||
Monthly Offline Backup
|
||||
Store a copy outside the production environment.
|
||||
Purpose: Protection against ransomware encrypting online backups.
|
||||
________________________________________
|
||||
3-2-1 Backup Rule
|
||||
The organization should follow the 3-2-1 backup strategy:
|
||||
• 3 copies of the data (one primary + two backups).
|
||||
• 2 different storage media (e.g., Block Storage and external storage/object storage).
|
||||
• 1 off-site or offline backup stored separately from the production environment.
|
||||
________________________________________
|
||||
3. Comprehensive Prevention Plan
|
||||
Identity & Access Management (IAM)
|
||||
• Enable Multi-Factor Authentication (MFA).
|
||||
• Apply the Principle of Least Privilege.
|
||||
• Review user permissions regularly.
|
||||
• Rotate passwords and API keys.
|
||||
________________________________________
|
||||
Network Security
|
||||
• Enable firewalls.
|
||||
• Segment production and backup networks.
|
||||
• Restrict remote administration access.
|
||||
• Use VPN for administrative access.
|
||||
________________________________________
|
||||
Endpoint Security
|
||||
• Deploy Endpoint Detection and Response (EDR).
|
||||
• Keep operating systems and software patched.
|
||||
• Disable unnecessary services.
|
||||
• Enable application allow-listing where appropriate.
|
||||
________________________________________
|
||||
Backup Protection
|
||||
• Use immutable backups where possible.
|
||||
• Encrypt backup data.
|
||||
• Test backup restoration regularly.
|
||||
• Store backups in separate locations.
|
||||
________________________________________
|
||||
|
||||
Container Security
|
||||
• Scan container images using Trivy before deployment.
|
||||
• Avoid running containers as root.
|
||||
• Store secrets securely.
|
||||
• Continuously monitor container activity.
|
||||
________________________________________
|
||||
Monitoring & Detection
|
||||
• Deploy a SIEM solution to centralize logs.
|
||||
• Configure alerts for:
|
||||
o Multiple failed logins.
|
||||
o Unusual file modifications.
|
||||
o Mass file encryption.
|
||||
o Privilege escalation attempts.
|
||||
________________________________________
|
||||
Security Awareness
|
||||
• Train employees to recognize phishing emails.
|
||||
• Conduct regular security awareness sessions.
|
||||
• Simulate phishing campaigns.
|
||||
• Define clear incident reporting procedures.
|
||||
________________________________________
|
||||
Conclusion
|
||||
A successful ransomware response depends on rapid detection, immediate isolation, reliable backups, and tested recovery procedures.
|
||||
By implementing layered security controls—including strong IAM, network segmentation, continuous monitoring, secure container practices, and a resilient backup strategy based on the 3-2-1 rule—organizations using Ghaymah Cloud can significantly reduce the impact of ransomware attacks and recover services efficiently.
|
||||
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