Skill UI

This skill analyzes AWS CloudTrail logs to detect suspicious API call patterns, such as new event sources, geographic anomalies, or high-frequency usage. It establishes a statistical baseline of normal activity and flags deviations indicative of compromised credentials, privilege escalation, or insider threats, providing a detailed JSON report for security investigation and threat hunting.

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.

A specialized tool for detecting anomalies within DNP3 (Distributed Network Protocol 3) communications used in critical SCADA and energy sector infrastructure. It employs deep packet inspection and baseline comparison to monitor for unauthorized control commands, protocol violations, suspicious firmware update attempts, and deviations from established operational traffic patterns.

This skill outlines a comprehensive methodology for detecting compromised email accounts in Microsoft 365 and Google Workspace. It analyzes critical indicators such as unauthorized inbox rule creation (e.g., forwarding rules, deletion rules), suspicious sign-in locations (impossible travel), and unusual API access patterns using Microsoft Graph and Unified Audit Logs. It is essential for threat hunting and incident response (IR) to mitigate Business Email Compromise (BEC) and account takeover.

A comprehensive skill designed for advanced security analysis, detecting malicious behaviors across mobile applications (Android/iOS). It performs multi-layered analysis, including static indicator checks (permissions, manifest), dynamic instrumentation via Frida, network traffic monitoring (C2 communication, exfiltration), and automated scanning (MobSF). Use this when investigating suspicious apps, detecting trojans, or performing malware triage.

A comprehensive guide for proactive threat hunting and incident response, detailing how to detect Pass-the-Hash attacks. It involves analyzing NTLM authentication patterns, identifying suspicious Type 3 logons, and correlating these anomalies with credential dumping techniques using SIEM/EDR tools.

A comprehensive skill for detecting advanced malware techniques, including DLL injection, process hollowing, APC injection, and thread hijacking. Utilizes memory forensics (Volatility), API monitoring (Sysmon), and behavioral analysis to identify malicious code artifacts and suspicious process activities in a deep defense context.

This skill provides a methodology for proactive threat hunting to detect compromised service accounts. It focuses on identifying anomalous activities such as unusual interactive logons, unauthorized privilege escalation, lateral movement, and suspicious access patterns using SIEM/EDR platforms. Essential for incident response and compliance.

This skill analyzes Azure AD/Microsoft Entra ID environments to detect illicit OAuth application consent grants. It leverages the Microsoft Graph API and directory audit logs to enumerate permissions, identify overly broad scopes, and flag high-risk applications based on publisher verification status. It is essential for SOC analysts and threat hunters investigating cloud identity security incidents.

This utility provides a comprehensive framework for proactive threat hunting, focusing on detecting advanced and suspicious PowerShell execution patterns. It covers common attacker techniques such as encoded command usage, download cradles (IEX), AMSI bypass attempts, and constrained language mode evasion. It is designed for security analysts during incident response and threat intelligence validation, requiring EDR and SIEM telemetry.

This guide details how to detect advanced process injection techniques (T1055) by analyzing rich Sysmon telemetry. It focuses on identifying cross-process memory operations, such as remote thread creation (Event 8), suspicious process access (Event 10), and memory divergence (ProcessTampering/Event 25), which are hallmarks of DLL injection and process hollowing. Ideal for threat hunters and security analysts investigating sophisticated defense evasion.

This guide details how to detect WMI event subscription persistence, a common attacker technique (T1546.003). It focuses on analyzing suspicious Sysmon Event IDs 19, 20, and 21 to identify malicious EventFilters, EventConsumers, and Bindings. Essential for incident response and threat hunting in Windows environments.