Skill UI

This guide provides comprehensive techniques for detecting Layer 2 ARP poisoning and spoofing attacks. It covers monitoring gratuitous ARP floods, tracking IP-to-MAC mapping changes, and identifying rogue devices. Techniques include deploying ARPWatch, configuring Dynamic ARP Inspection (DAI) on managed switches, and using advanced Wireshark filters or custom Python scripts for robust security monitoring and incident response.

Focuses on advanced threat detection within Azure AD/Entra ID. This skill guides users on correlating Graph API audit logs, sign-in anomalies, and KQL queries in Microsoft Sentinel to identify sophisticated lateral movement techniques, such as privilege escalation, OAuth abuse, and cross-tenant pivoting. Essential for SOC threat hunting.

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.

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).

This guide is designed for threat hunting, helping security teams proactively detect persistent unauthorized access methods. It focuses on identifying malicious inbox/mail-flow forwarding rules that adversaries establish after a compromise to maintain access to corporate communications, often associated with Business Email Compromise (BEC) or T1114 techniques. Use during incident response and proactive security assessments.

This skill provides structured procedures and Python examples for detecting internal data exfiltration. It analyzes endpoint, cloud, and email logs by establishing behavioral baselines and performing statistical anomaly detection. Use cases include investigating insider threats, monitoring DLP policy violations, and building robust User and Entity Behavior Analytics (UEBA) rules for SOC teams.

This skill provides a comprehensive methodology for detecting Living Off the Land Binaries (LOLBAS) abuse. It analyzes process telemetry (Sysmon, Windows Logs) and parent-child relationships to identify when attackers misuse legitimate Windows utilities (like certutil, mshta, rundll32) to execute malicious code while bypassing traditional security detection. Essential for threat hunting and advanced incident response.

This skill details the detection of Pass-the-Ticket (PtT) attacks, a critical credential theft technique. It instructs users on analyzing Windows Security Event IDs (4768, 4769, 4771) within SIEM platforms like Splunk or Elastic. Use cases include investigating security incidents, building advanced threat hunting queries, and validating SOC monitoring coverage for lateral movement attacks.

This guide details advanced methods for detecting and preventing QR code phishing (quishing) attacks. It covers how malicious URLs embedded in images bypass traditional email security filters, requiring multimodal AI, OCR, and robust mobile threat defense solutions. Essential for SOC analysts and security teams.

A comprehensive guide on configuring advanced email security gateways (SEGs) to detect and block sophisticated, targeted spearphishing attacks. This skill covers essential detection layers, including impersonation protection, real-time URL detonation, attachment sandboxing, and creating custom behavioral rules. It is crucial for SOC analysts and security engineers building robust email threat defense systems.