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This skill analyzes behavioral reports (Cuckoo/AnyRun) to detect anti-analysis techniques used by malware, such as timing checks, VM artifact queries, user interaction monitoring, and environment fingerprinting. It provides a structured method for security researchers and SOC analysts to understand malware's true capabilities and detect evasion attempts.

This skill details the architecture and implementation of an automated Indicator of Compromise (IOC) enrichment pipeline using OpenCTI. It demonstrates how to connect OpenCTI to various external threat intelligence services (like VirusTotal, Shodan, AbuseIPDB) to automatically gather context, correlate indicators, and assign confidence scores. This is crucial for enhancing security monitoring and prioritizing threats for cyber analysts.

This skill guides the setup of Host-Based Intrusion Detection Systems (HIDS) using industry-standard tools like Wazuh, OSSEC, or AIDE. It covers essential security practices, including File Integrity Monitoring (FIM) for critical directories, monitoring system calls, detecting configuration changes, and identifying rootkits. It is crucial for meeting regulatory compliance requirements (e.g., PCI DSS) and significantly enhancing overall endpoint security posture.

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.

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 guide teaches security teams how to deploy and operationalize Amazon GuardDuty for continuous, comprehensive threat detection across entire AWS accounts and workloads. It covers enabling protection plans for S3, EKS, EC2 runtime monitoring, and Lambda, interpreting various finding severity levels, and building robust, automated incident response playbooks using EventBridge and AWS Lambda for immediate containment actions.

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.

This skill provides comprehensive methods for detecting and preventing privilege escalation within Kubernetes pods and containers. It details using runtime tools like Falco for monitoring syscalls and capabilities, and implementing admission controls via OPA Gatekeeper or Pod Security Admission to enforce security best practices, thereby hardening the cluster against unauthorized access and dangerous configurations.

This utility implements comprehensive Cloud Workload Protection (CWPP) by monitoring compute workloads on cloud instances (EC2/GCE). It provides runtime security controls, detecting process anomalies, unauthorized binary execution, cryptomining activity, and suspicious network connections using AWS and Google APIs. Ideal for establishing robust security postures and meeting compliance requirements.

This skill utilizes the Thinkst Canary REST API to programmatically deploy various decoy tokens, including web bugs, DNS records, MS Word documents, and AWS API keys. By monitoring these fake resources, the system detects unauthorized internal or external access attempts, providing early warnings and generating detailed deception coverage reports to strengthen security architecture.

This tool guides the deployment and configuration of the Dragos Platform for critical Operational Technology (OT) and Industrial Control System (ICS) network monitoring. It leverages over 600 industrial protocol parsers and advanced threat intelligence to detect sophisticated attacks (e.g., VOLTZITE, GRAPHITE). Use it for building an OT Security Operations Center (SOC), asset discovery, and vulnerability management in industrial settings, integrating alerts with enterprise SIEMs.

This skill details the deployment and advanced querying techniques for Arkime (Moloch), enabling comprehensive full packet capture network traffic analysis. Users can leverage the Arkime API v3 to search connections, download PCAPs, detect sophisticated C2 beaconing, and analyze connection patterns and anomalies across DNS, HTTP, and TLS traffic. Essential for security monitoring and network forensics.