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Microsoft Defender for Endpoint (MDE) is a powerful security tool, but it only records data from the moment a device is onboarded. For investigations requiring historical data or deeper forensic analysis, Velociraptor excels by extracting forensic artifacts directly from endpoints.
Most Velociraptor deployments run on Ubuntu Linux, but azurevelo simplifies this by integrating Velociraptor with Azure App Service, making it accessible to users unfamiliar with Linux administration.
Key Features of azurevelo:
- Quick Deployment: Set up in under 5 minutes.
- Cost-Effective: Runs on Azure App Service with scalable pricing.
- High Scalability: Supports up to 100K endpoints when combined with Azure Front Door.
Resources:
You Should Know: Essential Commands & Steps for Velociraptor & Azure Integration
1. Deploying azurevelo on Azure App Service
Clone the azurevelo repository git clone https://github.com/your-repo/azurevelo.git Navigate to the project directory cd azurevelo Deploy using Azure CLI az webapp up --name YourAppServiceName --resource-group YourResourceGroup --runtime "PYTHON:3.9"
2. Basic Velociraptor Commands for Forensic Analysis
Collect running processes from a Windows endpoint velociraptor query --query "SELECT FROM Artifact.Windows.System.PSList()" Extract browser history from a Linux system velociraptor query --query "SELECT FROM Artifact.Linux.Browser.History()" Hunt for suspicious binaries velociraptor query --query "SELECT FROM Artifact.Generic.Utils.BinaryHunter()"
3. Scaling with Azure Front Door
Create an Azure Front Door profile az network front-door create --name YourFrontDoorName --resource-group YourResourceGroup Link to your App Service az network front-door backend-pool backend add --front-door-name YourFrontDoorName --pool-name DefaultBackendPool --address YourAppServiceName.azurewebsites.net
4. Automating Incident Response with MDE + Velociraptor
Isolate a device using MDE PowerShell module Start-MdeMachineIsolation -DeviceId "YourDeviceID" -Comment "Suspicious activity detected" Trigger Velociraptor collection via API Invoke-RestMethod -Uri "https://your-velociraptor-server/api/v1/collect" -Method Post -Body (Get-Content "collection_config.json" | ConvertTo-Json)
What Undercode Say
Velociraptor is a game-changer for live forensics and incident response, especially when paired with Azure’s cloud-native infrastructure. Below are additional commands to enhance your investigations:
Linux Forensic Commands
Check for hidden processes ps -ef | grep -i "[bash]" Analyze network connections ss -tulnp Dump memory for analysis (requires LiME) insmod lime.ko "path=/tmp/memdump.lime format=lime"
Windows Incident Response
List all scheduled tasks (malware persistence check)
Get-ScheduledTask | Select-Object TaskName, State, Actions
Extract PowerShell execution history
Get-Content "$env:USERPROFILE\AppData\Roaming\Microsoft\Windows\PowerShell\PSReadLine\ConsoleHost_history.txt"
Check for lateral movement via WMI
Get-WinEvent -FilterHashtable @{LogName='Microsoft-Windows-WMI-Activity/Operational'; ID=5861}
Azure Security Enhancements
Enable MDE integration with Azure Sentinel az security atp storage update --is-enabled true --storage-account YourStorageAccount Monitor suspicious login attempts az monitor activity-log list --query "[?operationName.value == 'Microsoft.Security/locations/alerts/activate/action']"
Expected Output:
A fully deployed azurevelo instance integrated with Microsoft Defender for Endpoint, enabling:
– Rapid forensic collection from endpoints.
– Scalable cloud-based investigations.
– Automated incident response workflows.
For deeper exploration, refer to the provided GitHub repositories and training materials.
References:
Reported By: 59852820r9f Introducing – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
