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This comprehensive guide provides techniques for acquiring, analyzing, and extracting artifacts from memory dumps. It covers best practices for digital forensics, crucial for incident response and malware analysis. Users learn how to use industry-standard tools like Volatility 3 on Windows, Linux, and macOS, including process, network, and registry deep dives.

This skill provides a comprehensive workflow for detecting and analyzing malware persistence mechanisms on Windows systems. It automates the use of Sysinternals Autoruns via scripting to scan hundreds of Auto-Start Extensibility Points (ASEPs), including registry keys, services, scheduled tasks, and drivers. The process flags suspicious entries like unsigned binaries, suspicious paths, or dangerous command-line arguments, making it an essential tool for security incident response and threat hunting.

A comprehensive digital forensics technique used to investigate removable media usage. It parses artifacts from Windows registry (USBSTOR, MountedDevices), Event Logs, and SetupAPI logs to track which USB devices were connected, when they were used, and establishing a timeline for potential data exfiltration or insider threat activity.

A specialized tool for digital forensics investigators that parses the Windows Amcache.hve registry hive. It extracts crucial evidence regarding program execution history, application installation metadata, and loaded driver binaries. By correlating SHA-1 hashes and reconstructing timelines, users can determine which executables ran on a system, aiding in incident response and threat detection.

This comprehensive forensic workflow guides investigators through the extraction and detailed analysis of Windows Registry hives (SAM, SYSTEM, SOFTWARE, etc.). It is used during incident response to uncover critical artifacts, including user activity history, malware persistence mechanisms (autorun keys), installed software records, and evidence of system compromise.

Shellbags are critical Windows registry artifacts that record user interaction history with directories, storing view settings and browsing paths. This toolset allows analysts to reconstruct folder access history, detect connections to removable media, and prove navigation to network shares, even if the original folders no longer exist on the system. Essential for digital forensics and incident response.

This skill provides comprehensive detection methods for credential dumping techniques, a critical post-exploitation phase in cyber attacks. It targets the extraction of sensitive credentials from LSASS memory, SAM registry hives, and NTDS.dit using advanced security visibility. Detection relies on analyzing Sysmon Event ID 10 (ProcessAccess), Windows Security logs, and complex SIEM correlation rules, making it essential for SOC analysts and threat hunters investigating advanced persistent threats (APTs).

This guide details a systematic methodology for proactive threat hunting across Windows endpoints. It focuses on identifying various adversary persistence techniques, such as registry modifications (Run Keys), malicious services, WMI event subscriptions, and scheduled tasks. It is essential for incident response, security audits, and improving detection coverage against dormant backdoors.

A detailed methodology for proactive threat hunting focused on identifying deep-seated persistence mechanisms within Windows operating systems. This guide covers advanced techniques such as monitoring Run keys, analyzing Winlogon modifications, detecting IFEO injection, and identifying COM object hijacking. It is crucial for incident response, purple teaming, and ensuring system integrity against advanced persistent threats (APTs).

This guide details a threat hunting technique for detecting persistence mechanisms utilizing Windows Registry Run keys (T1547.001). By analyzing Sysmon Event ID 13 logs, it identifies suspicious auto-start entries pointing to temporary directories, encoded PowerShell commands, or abused LOLBins. Essential for SOC analysts and security engineers investigating incidents and developing robust detection rules.

Utilize Velociraptor, an advanced open-source platform, to collect, query, and monitor forensic artifacts across diverse endpoints (Windows, Linux, macOS). This skill enables incident response teams to perform large-scale, rapid digital forensic investigations by collecting critical data such as event logs, registry entries, prefetch files, and network metadata using VQL queries.

This guide details authenticated (credentialed) vulnerability scanning, which uses valid system credentials (SSH keys, domain passwords, etc.) to log into target hosts. Unlike external scanning, credentialed methods allow deep inspection of installed patches, local configurations, registry keys, and system files across diverse platforms (Linux, Windows, Network Devices). This significantly increases vulnerability detection rates and reduces false positives for comprehensive security assessments.