This query searches for instances where the Windows Command Prompt is spawned by an unusual parent process like Notepad or Calculator.
Successful threat hunting is not a random walk through logs. It follows a structured, repeatable, and data-driven scientific process.
: Technical indicators of compromise (IoCs). This includes IP addresses, file hashes, malicious URLs, and registry keys. Security tools consume this data directly. Foundations of Data-Driven Threat Hunting This query searches for instances where the Windows
Practical Threat Intelligence and Data-Driven Threat Hunting
Create a testable statement based on threat intelligence. Example: "Adversaries are utilizing living-of-the-land binaries (like PowerShell) to download staging tools in our environment." : Technical indicators of compromise (IoCs)
An adversary has compromised a standard corporate workstation, harvested domain admin credentials, and is using WinRM ( wsmprovhost.exe ) to access internal production databases. Step 2: Data Requirements
Defining what the organization needs to protect and which adversaries target their specific industry. harvested domain admin credentials
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A victim workstation virtual machine (Windows 10/11 with Sysmon installed).
"Machine learning models show anomalous outbound data spikes on web ports." Step 2: Data Collection and Normalization