Skill UI

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.

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.

A comprehensive guide for detecting Kerberoasting attacks by monitoring for anomalous Kerberos TGS requests (Event ID 4769). This technique targets service accounts with Service Principal Names (SPNs), which are requested offline by attackers to crack service account passwords. Use this during threat hunting or incident response to scope MITRE T1558 credential access activities in Active Directory environments.

A comprehensive guide and workflow for detecting Mimikatz and similar credential-dumping activities. It utilizes command-line pattern matching, LSASS memory access signatures, binary indicators, and in-memory analysis. Ideal for threat hunting, scoping compromises during incident response, or validating detection coverage in purple team exercises using EDR/SIEM data.

An advanced Intrusion Detection System (IDS) module designed for Operational Technology (OT) and ICS/SCADA environments. It monitors Modbus TCP/RTU traffic to detect unauthorized writes, anomalous function codes, malformed frames, and deviations from established communication baselines. Essential for investigating suspicious PLC register modifications and responding to industrial threats.

Deploy Zeek for passive network analysis to generate structured logs (DNS, HTTP, etc.). This tool detects behavioral anomalies like DNS tunneling or beaconing, complementing traditional signature-based IDS tools. It is ideal for threat hunting and incident response, feeding rich protocol metadata into SIEM platforms.

This skill provides comprehensive guidance on detecting network reconnaissance and port scanning activities using industry-standard IDS/IPS systems like Suricata and Snort. It covers various scanning techniques (e.g., SYN, FIN, NULL, Xmas scans, UDP sweeps) and advanced detection methods, including signature matching, threshold-based alerting, and traffic anomaly analysis to identify tools like Nmap and Masscan.

This guide details methods for detecting and mitigating OAuth token theft and replay attacks in cloud environments, specifically targeting Microsoft Entra ID (Azure AD). It covers protection against access token theft, Primary Refresh Token (PRT) abuse, and pass-the-cookie attacks. Users can leverage Conditional Access and Token Protection features to cryptographically bind tokens to devices, significantly enhancing cloud identity security and preventing session hijacking.

This skill provides a comprehensive framework for detecting various privilege escalation techniques across Windows and Linux. It covers access token manipulation, UAC bypass, unquoted service path abuse, and kernel exploits. It is essential for threat hunting, scoping compromise during incident response, and validating detection coverage in proactive security assessments.

This comprehensive guide details the methodology for detecting Process Hollowing (MITRE T1055.012), a critical defense evasion technique used by fileless malware. It involves analyzing memory-mapped sections, correlating EDR telemetry (Sysmon, ETW), and identifying memory mismatches between the running process and its on-disk binary image. Use this skill when investigating sophisticated, in-memory threats that masquerade as legitimate system processes.

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.