Skill UI

This skill utilizes the Microsoft Graph API to parse Office 365 Unified Audit Logs for security incident investigation. It is designed to detect critical indicators of account compromise, including the creation of suspicious email forwarding rules, unauthorized mailbox delegation changes, suspicious OAuth application consent grants, and other signs related to Business Email Compromise (BEC).

Guides SOC teams through validating alerts, isolating networks and endpoints, preserving evidence, and disabling compromised accounts to rapidly contain an active breach while minimizing business impact.

Utilizes User and Entity Behavior Analytics (UEBA), statistical baselines, and machine learning models to monitor authentication logs. This skill identifies sophisticated security threats such as impossible travel, credential stuffing, brute force attacks, and compromised accounts in real-time. Essential for security operations and identity access management.

A comprehensive guide and analysis framework for detecting compromised Office 365 or Google Workspace email accounts. It focuses on analyzing unified audit logs and Azure AD sign-in logs to identify indicators of account takeover (ATO) or Business Email Compromise (BEC). Detection methods include monitoring impossible travel events, identifying malicious inbox rules (e.g., external forwarding or deletion rules), and analyzing suspicious Microsoft Graph API access patterns.

A detailed guide and set of queries for detecting Golden Ticket attacks in Active Directory environments. This methodology analyzes Kerberos TGT anomalies, including mismatched encryption types (e.g., RC4 in AES-only domains), impossible ticket lifetimes, and TGS requests lacking prior TGTs. Use this during threat hunting or post-breach assessment when the KRBTGT account hash may be compromised.

This skill provides a framework for proactively detecting service account abuse, which often occurs through anomalous interactive logons, privilege escalation, or lateral movement. It leverages EDR/SIEM telemetry (e.g., CrowdStrike, Splunk) and advanced threat intelligence rules (Sigma) to identify compromised accounts performing unexpected activities. Ideal for incident response, threat hunting, and security posture assessment.

BloodHound is a powerful, graph-based reconnaissance tool specifically designed for Active Directory environments. It utilizes graph theory to map deep, hidden relationships and potential attack paths—such as privilege escalation chains—from compromised low-value accounts to high-value targets like Domain Admins. This tool is essential for authorized red team exercises and penetration testing engagements.

This guide details the exploitation of the critical Zerologon vulnerability (CVE-2020-1472) in Active Directory Domain Controllers. It demonstrates the methodology for resetting the DC machine account password to empty, achieving full domain compromise. Subsequent steps include dumping domain credentials using DCSync. Essential for authorized red-teaming and security validation.

This guide details the methodology and tools for conducting authorized privilege escalation assessments within AWS environments. It systematically utilizes specialized tools like Pacu and Principal Mapper (PMapper) to identify critical IAM misconfigurations, excessive permissions, and weak cross-account trust relationships. It is essential for validating the principle of least privilege and assessing the potential blast radius of compromised credentials during authorized penetration testing.

A comprehensive guide to investigating AWS account compromises by querying CloudTrail logs. Use boto3 or AWS Athena to filter suspicious activities—such as unauthorized API calls, S3 data exfiltration, or IAM privilege escalation—to reconstruct a detailed attacker timeline and generate a professional forensic report.

This skill performs User and Entity Behavior Analytics (UEBA) to identify anomalous user activities such as impossible travel, unusual access patterns, and privilege abuse. It establishes behavioral baselines using SIEM logs and statistical analysis, helping SOC teams detect insider threats and compromised accounts by flagging deviations from normal user behavior. Use when monitoring security hygiene and suspicious activity is critical.

This guide details how to analyze comprehensive Zeek network logs (conn.log, smb_files.log, ntlm.log, dce_rpc.log, etc.) to detect advanced attacker techniques. It specifically targets indicators of compromise related to lateral movement, such as SMB admin share access, NTLM account spraying, and remote service execution (DCE/RPC patterns). It is a critical network forensics tool for post-incident investigation.