I will establish a cloud-based Security Information and Event Management (SIEM) system using Azure Sentinel, using a Virtual Machine to function as a honeypot. The honeypot serves as a deceptive system or network engineered to entice potential attackers, aiming to collect insights into their methodologies, strategies, and motives. This information aids cybersecurity professionals in gaining a deeper understanding of potential threats and bolstering defense mechanisms.
I will closely monitor the logs of attempted intrusions on the honeypot, particularly focusing on scrutinizing failed Remote Desktop Protocol (RDP) login attempts. Subsequently, I will present a visual representation of the geographic origins of these attackers on a world map, facilitating the analysis of attack source locations.
Setup Overview
Create Azure with a free subscription that has 200 dollars of free credits.
Create a Virtual Machine in Azure that is extremely vulnerable to the internet and anyone with a device can ping it by turning off all the firewalls.
Create a log analytics workspace with a log repository in Azure to process and analyze our logs from the virtual machine.
Set up Azure Sentinel within Azure and create a map that analyzes the attacks from all over the world on our honeypot.
Powershell will be used to extract the IP Addresses from the honeypot in the Windows Log and convert them into latitude and longitude with a third-party API.
Create a custom log with geographic data in the VM with the latitude and longitude logs.
Key Reasons for Implementing SIEM
Log Management: SIEM centralizes log management, making it easier to collect, store, and analyze logs from various sources across an organization's IT infrastructure.
Threat Detection and Response: SIEM systems provide real-time monitoring and analysis of security events, enabling the rapid detection of threats and immediate response to mitigate potential damage.
Incident Investigation: SIEM tools offer advanced search and correlation capabilities, aiding in detailed forensic analysis during incident investigations. This is crucial for understanding the scope and impact of security incidents.
Security Automation: Many SIEM platforms support automated responses to specific security events, reducing the response time and minimizing human error.
User Activity Monitoring: SIEM solutions provide insights into user behavior and activities, helping organizations detect insider threats, unauthorized access, and abnormal user patterns.
Alert Prioritization: SIEM can create security alerts, allowing the security team to focus on the most critical threats and reducing alert fatigue.
Description:
I will establish a cloud-based Security Information and Event Management (SIEM) system using Azure Sentinel, using a Virtual Machine to function as a honeypot. The honeypot serves as a deceptive system or network engineered to entice potential attackers, aiming to collect insights into their methodologies, strategies, and motives. This information aids cybersecurity professionals in gaining a deeper understanding of potential threats and bolstering defense mechanisms.
I will closely monitor the logs of attempted intrusions on the honeypot, particularly focusing on scrutinizing failed Remote Desktop Protocol (RDP) login attempts. Subsequently, I will present a visual representation of the geographic origins of these attackers on a world map, facilitating the analysis of attack source locations.
Setup Overview
Create Azure with a free subscription that has 200 dollars of free credits.
Create a Virtual Machine in Azure that is extremely vulnerable to the internet and anyone with a device can ping it by turning off all the firewalls.
Create a log analytics workspace with a log repository in Azure to process and analyze our logs from the virtual machine.
Set up Azure Sentinel within Azure and create a map that analyzes the attacks from all over the world on our honeypot.
Powershell will be used to extract the IP Addresses from the honeypot in the Windows Log and convert them into latitude and longitude with a third-party API.
Create a custom log with geographic data in the VM with the latitude and longitude logs.
Key Reasons for Implementing SIEM
Log Management: SIEM centralizes log management, making it easier to collect, store, and analyze logs from various sources across an organization's IT infrastructure.
Threat Detection and Response: SIEM systems provide real-time monitoring and analysis of security events, enabling the rapid detection of threats and immediate response to mitigate potential damage.
Incident Investigation: SIEM tools offer advanced search and correlation capabilities, aiding in detailed forensic analysis during incident investigations. This is crucial for understanding the scope and impact of security incidents.
Security Automation: Many SIEM platforms support automated responses to specific security events, reducing the response time and minimizing human error.
User Activity Monitoring: SIEM solutions provide insights into user behavior and activities, helping organizations detect insider threats, unauthorized access, and abnormal user patterns.
Alert Prioritization: SIEM can create security alerts, allowing the security team to focus on the most critical threats and reducing alert fatigue.