Skill UI

This skill provides comprehensive detection strategies for adversaries abusing DCOM objects (e.g., MMC20.Application) to perform stealthy lateral movement (MITRE ATT&CK T1021.003). It details how to correlate Sysmon Event IDs (Process Creation, Network Connection), analyze WMI activity, and monitor RPC traffic on port 135 to identify unauthorized remote command execution chains. Ideal for advanced threat hunting, red teaming, and purple team exercises.

Provides methodology and scripts for proactive threat hunting, IOC sweeps, and statistical anomaly detection that surface attacker activity before automated alerts fire.

AWS Detective automatically analyzes log data from CloudTrail, VPC Flow Logs, GuardDuty, and EKS audit logs to build interactive behavior graphs. This tool enables security analysts to investigate suspicious activity, trace lateral movement across accounts, profile compromised entities (IAM users, EC2 instances), and reconstruct complex attack timelines without manual log parsing. Ideal for triaging GuardDuty findings or investigating suspected AWS compromises.

This skill provides advanced detection methods for credential dumping, covering LSASS memory access, SAM hive extraction, and NTDS.dit theft (e.g., using Mimikatz). It utilizes Sysmon Event ID 10 and Windows Security logs to enable threat hunting, assisting SOC analysts in triaging EDR alerts and building robust SIEM correlation rules.

This skill provides advanced threat hunting queries for Microsoft Sentinel/Log Analytics. It detects the behavioral and string fingerprints left by popular offensive Entra ID enumeration tools (like ROADtools, AADInternals, and AzureHound) within both MicrosoftGraphActivityLogs and AADGraphActivityLogs. Use this when investigating suspicious Graph API activity, identifying internal reconnaissance, or building detection rules to surface active intrusions.

Hayabusa is a specialized threat-hunting and fast-forensics tool designed to analyze Windows EVTX event logs. It applies a comprehensive library of Sigma detection rules to raw log data, generating a single, prioritized, chronological timeline. The output includes severity levels, MITRE ATT&CK mappings, and detailed metrics, enabling analysts to perform rapid, SIEM-free incident triage and export results for collaborative analysis.

This skill proactively hunts for advanced firmware threats, including UEFI bootkits (e.g., BlackLotus, ESPecter), residing in the EFI System Partition (ESP). It establishes a cryptographic baseline, verifies bootloader signatures, scans for out-of-band changes, and uses YARA rules to detect persistence mechanisms related to pre-OS compromise (MITRE ATT&CK T1542.003). Ideal for forensic investigations and security hardening.

Chainsaw is a fast, Rust-based forensic tool designed for first-response threat hunting. It analyzes collected Windows EVTX files using the comprehensive Sigma rule corpus, built-in detection rules, and high-speed keyword/regex searching. Furthermore, it uniquely analyzes critical artifacts such as shimcache, SRUM, and event-log gaps, providing robust, offline detection capabilities without needing a SIEM pipeline. It is essential for digital forensic triage and hypothesis confirmation.

A comprehensive guide for threat hunters focusing on detecting stolen session cookies and OAuth/PRT token replay (T1550.001). This skill teaches correlation techniques across Microsoft Entra ID SigninLogs and Okta System Logs, enabling the detection of impossible travel, refresh-token reuse, and anomalous lateral movement within federated SaaS environments. Essential for post-phishing or post-compromise investigations.

A comprehensive guide for authorized digital forensics investigation. It covers critical areas including memory dump analysis (using Volatility), disk timeline reconstruction, PCAP network traffic analysis, and system artifact triage (like Event Logs and Prefetch). Essential for incident response, evidence preservation, and threat hunting to maintain a robust chain of custody.

Provides a comprehensive framework for blue-team threat hunting and detection engineering. Users learn hypothesis-driven hunting techniques, optimize SIEM queries, and build robust detection rules using industry standards like Sigma and YARA. Essential for minimizing false positives and validating security controls in a defensive posture.