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A specialized threat hunting skill designed to detect remnants of the PowerShell Empire post-exploitation framework. It analyzes Windows event logs (specifically Script Block and Module Logging) for key Indicators of Compromise (IOCs), such as default launcher strings, Base64 encoded payloads, known module signatures (e.g., Mimikatz), and staging URL patterns. The output provides a detailed JSON report, comprehensive timeline, and MITRE ATT&CK mapping for incident response and security validation.

A dedicated tool for forensic analysis of Windows PowerShell Script Block Logs (Event ID 4104) captured in EVTX files. It reconstructs multi-block scripts, applying advanced detection heuristics such as entropy analysis and pattern matching to identify obfuscated commands, encoded payloads (Base64), download cradles, and AMSI bypass attempts, crucial for threat hunting and incident response.

A comprehensive guide utilizing Splunk Enterprise Security and SPL to conduct deep forensic analysis of security incidents. This skill covers correlating disparate sources like Windows event logs, firewall records, proxy data, and Sysmon logs to detect TTPs, reconstruct timelines, and identify anomalies, making it essential for 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 comprehensive toolkit using Splunk's SPL language to analyze Windows Security, System, and Sysmon event logs. It maps advanced detection queries to specific MITRE ATT&CK techniques, enabling SOC analysts to investigate authentication attacks (e.g., brute force, password spraying), detect privilege escalation, locate persistence mechanisms, and trace lateral movement for detailed forensic timeline analysis.

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).

Analyzes Windows Security EVTX logs to detect Kerberos golden ticket assaults by correlating event IDs 4768, 4624, and 4672, flagging long-lived TGTs, privilege escalations without group changes, SID inconsistencies, and outputting a timeline-based report.

A comprehensive guide and framework for detecting attacker lateral movement within enterprise networks. It details the use of network flow analysis (Zeek), authentication log review (Windows Event Logs, Kerberos), and dedicated SIEM correlation rules (Splunk, Elastic) to identify techniques like Pass-the-Hash and RDP hopping. Ideal for threat hunters and security engineers building detection pipelines.

This guide outlines a comprehensive threat hunting methodology for detecting adversary lateral movement within a network environment. It utilizes Splunk SPL queries against rich Windows event data, including authentication logs (4624, 4625), SMB traffic, and Sysmon telemetry. By correlating source-to-destination activity and identifying unusual logon types (RDP, WinRM, SMB), users can proactively track an attacker's path after initial system compromise, fulfilling MITRE ATT&CK T1021 techniques.

This skill provides a comprehensive framework for detecting Living Off the Land Binaries (LOLBAS) abuse, such as misuse of certutil, regsvr32, and mshta. It leverages process telemetry from Sysmon and Windows Event Logs, combined with advanced Sigma rule-based detection and parent-child process anomaly analysis. Ideal for SOC analysts and threat hunters investigating sophisticated adversaries aiming to evade traditional security controls.

This skill analyzes Windows Security Event Logs (EVTX) to detect RDP brute force attacks. It parses failed logon events (ID 4625) and correlates them with successful logons (ID 4624), performing source IP frequency analysis to identify attack patterns, username spraying, and potential account compromises. This is critical for SOC analysts and threat hunters investigating lateral movement or credential stuffing attempts.

A comprehensive workflow for extracting, parsing, and analyzing Windows Event Logs (EVTX). It guides security professionals in using advanced tools like Chainsaw and Hayabusa, combined with Sigma rules, to detect critical security incidents such as lateral movement, privilege escalation, and persistence mechanisms during incident response and digital forensic investigations.