Skill UI

This tool audits Kubernetes pod configurations to detect potential container escape misconfigurations. It checks for dangerous settings like privileged flags, excessive capabilities, host path mounts, shared namespaces, and cgroup abuses. Use it for comprehensive security assessments, compliance checking, or generating pre-enforcement security posture reports.

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.

A comprehensive guide for Security Operations Center (SOC) analysts on reducing false positive alerts in SIEM systems. Techniques include systematic threshold tuning, refining correlation logic, implementing allowlisting, and enriching data with threat intelligence to combat alert fatigue and improve detection accuracy.

A comprehensive tool suite designed to analyze firmware images from embedded devices, including routers, IoT endpoints, and critical system components like UEFI/BIOS. It facilitates deep security analysis by performing firmware extraction, filesystem integrity checks, binary reverse engineering, and sophisticated detection of bootkits, backdoors, and unauthorized modifications.

A comprehensive skill for Security Operations Center (SOC) teams and incident responders. It detects advanced lateral movement techniques, including Pass-the-Hash, PsExec, WMI, and RDP pivoting, by correlating Windows Security logs, Sysmon data, and network flow records within a SIEM. This capability is mapped to MITRE ATT&CK TA0008 and is essential for tracking an attacker's internal progression after initial compromise. Not intended for external attack detection.

This skill outlines the systematic process of integrating new data sources (e.g., Firewalls, EDR, Cloud, AD) into a SIEM platform. It covers planning, configuring collectors, building parsers, normalizing data fields (e.g., CIM), and validating data quality to enhance security monitoring and incident detection capabilities.

This skill leverages the VirusTotal API v3 to enrich file hashes (MD5, SHA-256). It retrieves comprehensive security data, including multi-engine detection rates, sandbox behavioral reports, YARA rule matches, and related Indicators of Compromise (IOCs). It is essential for SOC triage, incident response, and threat intelligence workflows.

A comprehensive guide detailing how to perform rapid malware triage and classification using YARA rules. Learn to write sophisticated rules that match file patterns, unique strings, byte sequences, and structural PE characteristics. Ideal for automating signature-based scanning, developing custom detection rules for zero-day threats, and building robust analysis pipelines.

Zeek is a powerful, open-source network analysis framework that functions as a passive security monitor. It generates highly detailed, structured logs (e.g., HTTP, DNS, TLS) from raw network traffic, allowing for deep metadata extraction. This skill guides users through deploying Zeek, writing custom detection scripts, and integrating the resulting rich security logs with SIEM platforms for advanced threat detection and forensic investigations.