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cve-2024-38063-detection-mitigation-system — End-to-end cybersecurity project demonstrating detection and mitigation of CVE-2024-38063 using IDS, host-based monitoring, and virtual lab attack simulation. | Kitploit
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rohitmalik7/cve-2024-38063-detection-mitigation-system

cve-2024-38063-detection-mitigation-system

End-to-end cybersecurity project demonstrating detection and mitigation of CVE-2024-38063 using IDS, host-based monitoring, and virtual lab attack simulation.

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44 months agoNot yet reviewed
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CVE Vulnerability Detection and Mitigation System

Author: Rohit Malik | Domain: Cybersecurity | Type: Group Academic Project | Purpose: Portfolio & Educational


Overview

This project is a group-based cybersecurity implementation focused on detecting and mitigating a real-world critical vulnerability -CVE-2024-38063 -in a controlled virtual environment.

The work demonstrates how security engineers analyse vulnerabilities, design detection mechanisms, and apply layered mitigation strategies when immediate patches are not available or practical to deploy.


Project Type

Group Project -3 Members

  • Rohit Kumar Malik
  • Izaan Shumaiz
  • Mohamed Sinan

Project Objective

The objective of this project was to:

  • Analyse a real-world critical CVE vulnerability in depth
  • Design practical detection and mitigation strategies
  • Implement and test solutions in a virtual lab environment
  • Demonstrate effectiveness through before and after testing

Vulnerability Overview

CVE-2024-38063 -Windows TCP/IP Remote Code Execution

PropertyDetails
CVE IDCVE-2024-38063
SeverityCritical
CVSS Score9.8
Attack VectorNetwork-based, exploiting IPv6 packet handling
ImpactSystem crash or unauthenticated remote code execution
Affected SystemsWindows OS with IPv6 enabled

Project Structure

StageDescription
Topic ProposalInitial vulnerability analysis and proposed approach
Design ReportDetection and mitigation system architecture and design
Implementation ReportLab setup, simulation results, and testing outcomes

Key Features

Vulnerability Analysis

  • Detailed root cause analysis of the CVE and its attack vector
  • Assessment of affected systems, exploitation conditions, and business impact

Detection System

  • Network-based detection using Suricata IDS rules targeting CVE-2024-38063 traffic patterns
  • Host-based monitoring using Sysmon to capture suspicious system activity
  • Log correlation between network and host events to confirm exploitation attempts

Mitigation Strategies

  • IPv6 restriction to reduce the attack surface on affected systems
  • Firewall rules configured to block malicious IPv6 traffic patterns
  • IDS/IPS-based detection and active prevention rules

Implementation and Testing

  • Virtual lab environment configured using Kali Linux, Ubuntu, and Windows
  • Simulated attack scenarios to reproduce vulnerability behaviour
  • Before and after mitigation testing to validate effectiveness

Tools and Technologies

CategoryTools
Intrusion DetectionSuricata IDS
Host MonitoringSysmon
Attack PlatformKali Linux
Target SystemsWindows OS, Ubuntu
VirtualisationVirtualBox
Network AnalysisNetwork Monitoring Tools

Key Concepts Demonstrated

ConceptApplication
Vulnerability AssessmentAnalysing CVE-2024-38063 root cause, attack vector, and impact
Intrusion DetectionDeploying and configuring Suricata IDS for network-level detection
Host-Based MonitoringUsing Sysmon to capture system-level indicators of compromise
Log CorrelationCombining network and host logs to confirm exploitation attempts
Mitigation DesignApplying layered controls including firewall rules and IPv6 restriction
Lab-Based TestingSimulating real attack conditions in a controlled virtual environment
Threat DetectionValidating detection mechanisms before and after mitigation

My Contribution

  • Designed the detection approach using Suricata and Sysmon
  • Developed correlation logic between network and host-based logs
  • Assisted in virtual lab setup and attack simulation testing
  • Contributed to report writing, validation, and documentation

Skills Demonstrated

  • Cybersecurity Analysis
  • Vulnerability Assessment
  • Intrusion Detection Systems (IDS)
  • Network Security
  • Log Analysis
  • Threat Detection
  • Virtualisation
  • Technical Documentation

Important Note

This project was conducted entirely in a controlled virtual lab environment for educational and academic purposes only. No real-world systems were targeted or affected.


Usage & Credit

This project is shared for portfolio and educational purposes. If you use or reference this work, please provide appropriate credit to the author.


Author

Rohit Malik Email: [email protected] GitHub: RohitMalik7 Location: Dubai, UAE

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