Skill UI

A comprehensive tool for auditing container security posture by detecting potential escape vectors. It analyzes Kubernetes Pod specs for dangerous configurations, such as running in privileged mode, dangerous capability assignments (like CAP_SYS_ADMIN), host namespace sharing, and writable hostPath mounts. Ideal for security assessments and incident response to prevent container breakout.

This skill provides a comprehensive guide to systematic dark web monitoring, involving scanning underground forums, paste sites, and marketplaces for organizational threats. It covers setting up Tor-based crawling, automating credential leak detection (e.g., HIBP integration), and analyzing threat intelligence (CTI) using Python. Essential for proactive incident response and security auditing.

A comprehensive guide to deploying deception technologies, including honeypots, honeytokens, and decoy systems, within a Security Operations Center (SOC). This skill is used to detect advanced attackers who bypass perimeter defenses by monitoring lateral movement, credential abuse, and internal reconnaissance. It provides high-fidelity, near-zero false positive alerts and is essential for threat hunting and incident response strategy.

This skill detects covert data exfiltration occurring over DNS tunnels. It analyzes DNS query names by computing Shannon entropy, examining query length distributions, and identifying high subdomain cardinality. It is essential for security operations, incident response, and proactive threat hunting when suspicious or encoded DNS activity is suspected.

This skill enables sophisticated runtime dynamic analysis of Android applications using industry-standard tools like Frida and Objection. It is used to observe application behavior, intercept API calls, monitor network traffic, and bypass client-side security protections (e.g., root detection, anti-debugging). Essential for identifying vulnerabilities and analyzing obfuscated code that static analysis cannot reach.

This guide outlines systematic methodologies for reducing false positives in Security Information and Event Management (SIEM) systems. It covers advanced techniques including threshold tuning, multi-signal correlation enhancement, behavioral baseline integration, and threat intelligence filtering. Used by SOC analysts and detection engineers to combat alert fatigue and improve true positive detection rates.

A comprehensive guide for analyzing firmware images from embedded systems, IoT devices, routers, and specialized components like UEFI/BIOS. This skill covers advanced techniques including filesystem extraction, binary reverse engineering (using Ghidra/IDA), rootkit detection, and deep forensic analysis to uncover backdoors, implants, and supply chain compromises. Essential for cybersecurity professionals investigating compromised hardware.

This skill provides a systematic framework for managing Indicators of Compromise (IOCs) throughout their entire life cycle—from initial discovery and validation to enrichment, deployment, monitoring, and eventual retirement. It emphasizes implementing confidence decay functions, tracking hit rates, and managing false positives to maintain a high-quality, actionable threat intelligence database, thereby minimizing analyst fatigue and maximizing detection efficacy.

This skill detects advanced lateral movement techniques used by attackers after initial compromise, mapping them to MITRE ATT&CK TA0008. It correlates multiple data sources, including Windows event logs (4624, 4769), Sysmon telemetry, network flow data, and endpoint logs, to identify suspicious activities like Pass-the-Hash, PsExec, WMI exploitation, RDP pivoting, and SMB spreading.

This guide details the comprehensive process of onboarding new log sources into Security Information and Event Management (SIEM) platforms. It covers critical steps including data source discovery, configuring collectors (e.g., Syslog, Splunk UF, CloudTrail), building parsers, normalizing fields to a common schema, and validating data quality. This systematic approach is essential for achieving complete security visibility and effective threat detection across the enterprise.

This skill leverages the VirusTotal API to perform comprehensive threat intelligence enrichment on file hashes (MD5, SHA-1, SHA-256). It retrieves detection rates from 70+ AV engines, behavioral sandbox reports, associated indicators of compromise (IOCs), and contextual threat data. Use this tool for rapid SOC triage, accurate incident response validation, and enhancing threat hunting workflows.

This comprehensive skill guides the process of rapid malware triage and classification using YARA rules. It covers advanced techniques for writing detection rules based on unique strings, specific byte sequences, and structural PE characteristics. It is essential for security analysts building automated detection pipelines, scanning endpoints, or performing large-scale threat hunting across an enterprise environment.