Skill UI

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

This skill guides users on performing advanced, cloud-native threat hunting using AWS Detective. It leverages interactive behavior graphs, entity investigation timelines, and GuardDuty correlations to automatically analyze AWS logs (CloudTrail, VPC Flow Logs, etc.). Users can efficiently investigate suspicious IAM users, detect lateral movement, and correlate complex attack narratives across multiple AWS services.

This skill provides advanced threat hunting logic for Microsoft Sentinel/Log Analytics. It analyzes both AADGraphActivityLogs and MicrosoftGraphActivityLogs to detect the unique fingerprints and behavioral patterns left by offensive Entra ID tools (like ROADtools, AADInternals, and AzureHound). It detects specific User-Agent strings and characteristic endpoint-sweep patterns, even when tool authors attempt to spoof headers, helping SOC teams identify valid account-based adversary activity (MITRE T1078.004).

Velociraptor is an open-source platform providing deep endpoint visibility and digital forensics capabilities. It enables security teams to deploy VQL-based 'Hunts' across large fleets of endpoints, allowing for remote threat hunting, incident response, and continuous monitoring of system artifacts.

This skill is designed for proactive firmware forensics and advanced threat hunting. It analyzes the EFI System Partition (ESP) to detect sophisticated, pre-OS persistence mechanisms, such as UEFI bootkits (e.g., BlackLotus, ESPecter). Detection methods include verifying file hashes against a trusted golden baseline, checking Secure Boot signatures, scanning with YARA, and flagging structural anomalies within the ESP.

Chainsaw is a fast, Rust-based tool for digital forensics and threat hunting. It enables analysts to rapidly perform Sigma rule checks and keyword searches across collected Windows Event Logs (.evtx) and specialized artifacts (like shimcache and SRUM). Ideal for first-response and offline analysis, it provides detection capabilities without needing a SIEM ingestion pipeline, allowing quick hypothesis testing in the field or air-gapped environments.

A comprehensive guide for threat hunting and detection engineering focused on identifying SSO and OAuth token abuse. It detects 'pass-the-cookie' and session replay attacks where attackers use stolen tokens (like cookies or refresh tokens) to move laterally across federated SaaS platforms (Entra ID, Okta) without needing credentials. Essential for post-incident scope analysis and validating T1550.001 coverage.

This guide demonstrates how to use the pycti Python client to model complex cyber threat intelligence within the OpenCTI platform. It structures threat actors, intrusion sets, campaigns, and TTPs into a unified STIX 2.1 knowledge graph. The skill is essential for correlating fragmented data from multiple sources (IOCs, reports) into a comprehensive, queryable adversary picture, supporting advanced threat hunting and detection engineering.