Skill UI

This skill monitors dark web forums, ransomware leak sites, and paste sites for early warning intelligence. It tracks organizational assets, leaked credentials, and threat actor communications to enrich incident response and establish proactive monitoring coverage. Essential for cybersecurity teams performing deep OSINT investigations.

CAPE is an open-source sandbox built for automated malware analysis, derived from Cuckoo. It provides advanced behavioral monitoring, payload dumping, and configuration extraction using over 70 parsers for known malware families (e.g., Emotet, Cobalt Strike). It captures network IOCs, dropped files, and detects anti-evasion techniques, making it ideal for security assessments and incident response workflows via its robust API.

This skill simulates various network attack scenarios, including bandwidth throttling, traffic shaping, and network degradation, using tools like tc, iperf3, and Scapy. It is designed for authorized security assessments to test the resilience of applications, validate Quality-of-Service (QoS) policies, and assess the ability of network monitoring tools to detect sophisticated traffic manipulation attacks (e.g., Slowloris-style attacks).

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.

Zeek is a powerful, open-source network security monitoring framework that generates high-fidelity structured logs and metadata from raw network traffic. This skill covers deploying Zeek, analyzing various protocol logs (HTTP, DNS, TLS, etc.), writing custom detection scripts to identify anomalies, and integrating resulting security insights with SIEM platforms for comprehensive threat detection and forensic investigation.

This skill automates the monitoring of public paste sites (e.g., Pastebin, GitHub Gists) to detect leaked credentials, API keys, and sensitive data dumps. It employs advanced regex patterns and keyword matching to provide early warning of security breaches, crucial for incident response, vulnerability assessment, and threat intelligence gathering.

This skill covers the end-to-end automation of SSL/TLS X.509 certificate management. It guides users in generating Certificate Signing Requests (CSRs), monitoring expiration, automating renewal via ACME protocol (e.g., Let's Encrypt), and handling revocation checking. Essential for security assessments, incident response, and maintaining robust cryptographic infrastructure.

A comprehensive guide to conducting security assessments on thick client (desktop) applications. This skill details techniques ranging from static analysis (using tools like dnSpy, IDA Pro) to dynamic analysis (process monitoring with Procmon, network interception via Burp Suite). It covers finding hardcoded credentials, identifying insecure local storage, mitigating DLL hijacking, and analyzing memory manipulation within local applications.

This skill performs User and Entity Behavior Analytics (UEBA) to identify anomalous user activities such as impossible travel, unusual access patterns, and privilege abuse. It establishes behavioral baselines using SIEM logs and statistical analysis, helping SOC teams detect insider threats and compromised accounts by flagging deviations from normal user behavior. Use when monitoring security hygiene and suspicious activity is critical.

This skill provides a comprehensive guide to hardening managed Kubernetes clusters on major cloud platforms (EKS, AKS, GKE). It details implementing critical security layers, including Pod Security Standards, least-privilege network policies, workload identity (eliminating static cloud credentials), and runtime security monitoring. Essential for securing production environments and meeting compliance requirements.

This skill provides advanced techniques and code examples for monitoring, mapping, and pivoting across adversary-controlled infrastructure. It leverages Passive DNS, Certificate Transparency logs, Shodan/Censys scanning, and network fingerprinting (JARM/JA3S) to discover C2 servers, phishing domains, and exploitable assets over time, which is crucial for advanced security operations and threat intelligence gathering.