Skill UI

This comprehensive guide details the architecture and implementation of VLAN-based network segmentation on managed switches. It teaches professionals how to isolate different network zones (e.g., corporate, DMZ, IoT) to enforce strong access controls, reduce the attack surface, and meet compliance standards like PCI-DSS. The workflow includes designing the VLAN plan, configuring trunking, hardening switches against VLAN hopping, and setting up inter-VLAN routing with ACLs.

This skill provides comprehensive guidance and PowerShell scripts for hardening Windows endpoints using Microsoft Defender for Endpoint (MDE). It covers advanced features like Attack Surface Reduction (ASR) rules to block common attack techniques, Controlled Folder Access for ransomware protection, and Network Protection. Use this for deploying enterprise-grade, compliance-required security policies via Intune or Group Policy.

This comprehensive guide provides a structured, multi-stage workflow for containing active security breaches. It details both short-term and long-term strategies, including network segmentation, endpoint isolation, credential revocation, and evidence preservation. Use this process during confirmed intrusions, ransomware attacks, or lateral movement events to effectively stop adversary activity and secure critical assets before eradication.

This skill guides SOC analysts and detection engineers on how to correlate complex, multi-stage attacks within the IBM QRadar SIEM platform. It covers advanced usage of AQL (Ariel Query Language) for deep event investigation, building custom correlation rules (Building Blocks and Offenses), and cross-source data correlation (e.g., auth failures with network flows). It is essential for reducing false positives and improving threat detection accuracy.

This tool deploys decoy canary files in critical system directories to provide early warning against ransomware attacks. Utilizing Python's watchdog library, it monitors for any read, modify, rename, or delete operations on these decoy files. Detection triggers immediate alerts via multiple channels (Email, Slack, Syslog), helping security teams identify and respond to malicious activity before full data encryption occurs. It serves as a crucial detection layer in a layered security defense.

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.

This tool provides structured guidelines and detection rules for identifying API enumeration attacks, including Broken Object Level Authorization (BOLA) and IDOR. It monitors API access logs for suspicious patterns, such as rapid sequential requests to resource identifiers, unusual status code mixes (200/403/401), and excessive attempted resource IDs, helping security teams validate API security coverage.

A comprehensive guide for security professionals on detecting and preventing ARP spoofing and poisoning attacks. The skill covers multiple layers of defense, including implementing Dynamic ARP Inspection (DAI) on managed switches, utilizing ARPWatch for continuous monitoring, performing deep packet inspection with Wireshark, and developing custom Python scripts for real-time anomaly detection. Essential for mitigating Man-in-the-Middle (MitM) attacks at Layer 2.

This skill monitors critical OT historian servers (such as OSIsoft PI and Ignition) located at the IT/OT boundary. It is designed to detect sophisticated cyber threats, including unauthorized access attempts, data manipulation, suspicious query patterns, and indicators of lateral movement between enterprise and control networks. Use it to validate data integrity and respond to potential ICS security incidents.

This skill provides methods and tools for detecting sophisticated cyber attacks targeting Supervisory Control and Data Acquisition (SCADA) and Industrial Control Systems (ICS). It focuses on detecting anomalies like unauthorized command injection, Man-in-the-Middle attacks on industrial protocols (Modbus, DNP3), and data manipulation, which traditional IT security tools often miss. Usage involves establishing deterministic communication baselines and monitoring network traffic for deviations.

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).