Skill UI

Shellbags are registry artifacts that track user folder browsing activity (view settings, access path) via Windows Explorer. This method reconstructs a user's interaction history with local drives, network shares, and removable media, providing definitive evidence of folder access even when the directories are deleted. Essential for digital forensics and incident response.

This guide details the comprehensive workflow for conducting memory forensics using Volatility 3. It covers the entire incident response lifecycle, from acquiring raw RAM dumps to analyzing processes, detecting rootkits, investigating network connections, and extracting sensitive artifacts like credentials and injected code. Essential for live memory analysis in cybersecurity investigations.

A comprehensive skill for detecting advanced malware techniques, including DLL injection, process hollowing, APC injection, and thread hijacking. Utilizes memory forensics (Volatility), API monitoring (Sysmon), and behavioral analysis to identify malicious code artifacts and suspicious process activities in a deep defense context.

A comprehensive guide to detecting sophisticated rootkit activity and persistent threats that evade standard security tools (like Task Manager or EDR). Techniques include cross-view process analysis, identifying System Service Descriptor Table (SSDT) hooks, kernel module analysis, and network connection forensics using tools like Volatility. Use this when standard monitoring fails, and deep system integrity checks are required.

A comprehensive guide for digital forensics and incident response, detailing methods to extract and analyze critical web activity data. This includes history, cookies, cache, downloads, and bookmarks from major browsers like Chrome, Firefox, and Edge. Techniques involve utilizing SQLite querying and specialized tools on forensic images or live systems to establish a user's digital timeline.

This tool leverages the Rekall memory forensics framework to conduct deep analysis of memory dumps. It is designed to detect sophisticated threats such as process hollowing, injected code via VAD anomalies, hidden operating system processes, and rootkit presence. It applies key forensic plugins (pslist, malfind, vadinfo) essential for rigorous incident response and malware analysis.

A comprehensive guide and toolkit for extracting, parsing, and analyzing Windows Event Logs (EVTX). This method utilizes industry-leading tools like Chainsaw and Hayabusa, along with Sigma rules, to perform deep digital forensics. It is specifically designed to detect critical security indicators such as lateral movement, persistence mechanisms, privilege escalation, and unauthorized access attempts on Windows systems.

This skill provides comprehensive methods to detect Cobalt Strike beacon command-and-control (C2) traffic. It uses advanced network forensics techniques, including analyzing default TLS certificates (e.g., serial 8BB00EE), JA3/JA3S fingerprints, HTTP malleable profiles, and beacon interval jitter, leveraging Zeek logs, Suricata rules, and Python PCAP analysis. It is essential for threat hunters and SOC analysts investigating sophisticated C2 communications.

A comprehensive guide for security professionals to proactively hunt for Indicators of Compromise related to Volume Shadow Copy deletion (T1490). This technique is critical for detecting ransomware preparation and anti-forensics activity. It details using SIEM/EDR platforms to query for specific commands (vssadmin, wmic, PowerShell) associated with deleting system recovery points and shadow copies.

This tool builds a tamper-evident, append-only log chain using SHA-256 hash chaining. By incorporating the previous entry's hash into the current entry, any modification to an old log entry will invalidate all subsequent hashes, enabling pinpoint tamper detection. It supports various log formats (syslog, JSON, plain text) and is essential for compliance, digital forensics, and verifying log authenticity in security operations.

This tool provides comprehensive network traffic analysis capabilities by querying the Arkime API. Users can search sessions, download PCAPs for forensics, detect sophisticated threats like C2 beaconing (via jitter/interval analysis), spot DNS tunneling patterns, and flag connections to known-bad TLS certificate issuers. Ideal for security assessment and incident investigation.

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.