Skill UI

This skill outlines a comprehensive methodology for detecting compromised email accounts in Microsoft 365 and Google Workspace. It analyzes critical indicators such as unauthorized inbox rule creation (e.g., forwarding rules, deletion rules), suspicious sign-in locations (impossible travel), and unusual API access patterns using Microsoft Graph and Unified Audit Logs. It is essential for threat hunting and incident response (IR) to mitigate Business Email Compromise (BEC) and account takeover.

This skill provides a comprehensive guide to deploying Zeek (formerly Bro) for passive network security monitoring. It details how to generate structured logs (DNS, HTTP, SSL, etc.) and write custom Zeek scripts to detect sophisticated anomalies like DNS tunneling and beaconing. Ideal for threat hunting, security incident response, and complementing traditional IDS solutions.

This skill guides the security hardening of Windows endpoints (10/11, Server 2019/2022) using established CIS Benchmarks. It provides a comprehensive workflow for establishing secure organizational baselines, configuring Group Policy Objects (GPOs), and enforcing security controls across critical areas like password policies, audit logs, and firewall rules. It is essential for achieving compliance with standards like PCI DSS, HIPAA, and SOC 2.

A proactive, hypothesis-driven skill designed to hunt for Advanced Persistent Threats (APT) within complex enterprise environments. It analyzes endpoint telemetry, network logs, and memory artifacts using frameworks like MITRE ATT&CK. Use this skill when investigating anomalous behavior flagged by UEBA, conducting scheduled threat sprints, or validating exposure to known TTPs using tools like Velociraptor and osquery.

This skill guides threat hunters in detecting Cobalt Strike Command and Control (C2) beacons. It utilizes advanced network forensic techniques, including analyzing default TLS certificate serials, JA3/JA3S/JARM fingerprints, beacon jitter, and HTTP profile matching. Detection is achieved by correlating data from Zeek logs, Suricata rules, and Python PCAP analysis to identify suspicious outbound communications.

This guide details how to hunt for DCSync attacks, a technique used to steal password hashes from Active Directory. It involves analyzing Windows Event ID 4662 to identify unauthorized DS-Replication-Get-Changes requests originating from non-domain-controller accounts. Essential for incident response and threat detection.

This guide details the implementation of comprehensive security monitoring using Datadog Cloud SIEM, Cloud Security Management (CSM), and Workload Protection. It covers deploying the Datadog Agent across hybrid cloud infrastructure (AWS, Azure, GCP), ingesting critical log sources (CloudTrail, VPC Flow Logs, etc.), configuring Workload Protection, and creating custom detection rules to detect threats, enforce compliance, and provide centralized SOC visibility.

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.

A comprehensive guide for SOC analysts and digital forensics experts. This skill covers the entire lifecycle of a phishing incident, from initial user report and header analysis (SPF, DKIM, DMARC) to detonating malicious URLs/attachments in sandboxes. It guides users on scoping the attack, identifying impacted users via SIEM/proxy logs, and executing containment measures like email purges.

A comprehensive guide and workflow for digital forensic investigators to analyze ransomware artifacts. This process involves preserving volatile evidence (memory dumps), identifying the ransomware variant from file extensions and ransom notes, establishing the attack timeline using Prefetch and Event Logs, and extracting critical Indicators of Compromise (IoCs) such as Bitcoin addresses and Tor sites. Essential for incident response and recovery planning.

This comprehensive guide outlines a structured workflow for conducting digital forensics investigations across major cloud providers, including AWS, Azure, and GCP. It covers critical steps such as evidence preservation (snapshots, metadata capture), systematic log collection (CloudTrail, Activity Logs, Audit Logs, VPC Flow Logs), and advanced analysis techniques to trace unauthorized accesses and identify root causes of security breaches.

This tool provides a comprehensive workflow for performing deep forensic investigations on AWS environments. By leveraging CloudTrail logs and programmatic access via boto3/Athena, users can reconstruct attacker activity, identify compromised credentials, analyze suspicious API call patterns, and generate detailed incident response reports.