Skill UI

A comprehensive guide providing detailed KQL and SPL detection queries for identifying potential abuse of Azure service principals within Microsoft Entra ID. This tool helps SOC analysts and security teams investigate complex threats like unauthorized credential addition, privileged role assignment, admin consent bypass, and enumeration, crucial for proactive threat hunting and incident response.

This skill provides comprehensive guidelines for detecting Business Email Compromise (BEC), a sophisticated fraud scheme. It covers detection techniques using email gateway rules, behavioral analytics, and robust financial process controls. Learn to identify red flags like unusual payment requests, domain mismatches, and patterns of social engineering to protect against financial loss.

This system deploys advanced AI, NLP, and behavioral analytics to detect sophisticated Business Email Compromise (BEC) attacks. Unlike traditional filters that rely on malicious links, this solution analyzes writing style, tone, grammatical patterns, and contextual anomalies to identify pure social engineering impersonation, providing a robust defense layer against advanced phishing and fraud.

Detect unauthorized crypto-mining in AWS, Azure, and GCP by correlating GuardDuty/Defender/SCC findings, compute anomalies, network flows, and container/serverless behaviors to validate threats and guide response.

A comprehensive guide for deploying and operationalizing Amazon GuardDuty. It provides continuous, intelligent threat detection across core AWS services including S3, EKS, and EC2 runtime monitoring. Use this skill to investigate suspicious activity, detect compromised credentials, or build automated incident response playbooks using EventBridge and Lambda for proactive security.

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).

Provides analysts with a workflow to hunt and investigate credential dumping (LSASS, SAM, NTDS, DCSync) using EDR telemetry, Sysmon access events, and AD replication monitoring.

A comprehensive guide for security teams on detecting and responding to unauthorized crypto mining operations in cloud environments (AWS, Azure). It details a multi-layered approach, utilizing cost anomaly detection, compute utilization monitoring, GuardDuty findings, and network flow log analysis (VPC/KQL) to identify resource hijacking attempts and suspicious activity across EC2, ECS, and EKS workloads.

This guide details comprehensive detection methods for DCSync attacks (MITRE T1003.006) in Active Directory. Attackers abuse legitimate directory replication protocols to extract sensitive password hashes. Detection relies on auditing Windows Event ID 4662 for unauthorized access attempts to critical Directory Service GUIDs, specifically flagging non-domain-controller accounts attempting replication calls. Essential for threat hunting and incident response.

A comprehensive guide for advanced threat hunting, focusing on detecting DLL side-loading and search-order hijacking (MITRE T1574). It instructs users to analyze Sysmon Event ID 7 logs, validate file signatures and hashes, and identify path anomalies to uncover APT persistence mechanisms. Essential for incident response and proactive threat detection in enterprise environments.

This tool detects critical anomalies in DNP3 communications used within SCADA and ICS environments. It employs deep packet inspection and machine learning to monitor for unauthorized control commands, protocol violations, firmware update attempts, and deviations from established network baselines. It is essential for securing critical infrastructure, such as energy grids and industrial control networks, and building robust anomaly-based Intrusion Detection Systems (IDS).

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.