Skill UI

This skill guides the implementation of File Integrity Monitoring (FIM) using AIDE (Advanced Intrusion Detection Environment). It covers setting up AIDE configurations, creating initial baselines, performing scheduled integrity checks, and parsing detailed change reports. This is essential for maintaining strong security controls, meeting compliance requirements, and detecting unauthorized system modifications on Linux environments.

This guide details the deployment of deception technologies, including canary files and honeypot shares, to detect ransomware activity at its earliest stages. It outlines configuring file integrity monitoring (FIM) and using specialized tokens to trigger alerts when ransomware attempts encryption or performs lateral movement, significantly enhancing security posture beyond standard EDR.

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.

A comprehensive guide to detecting and mitigating advanced Adversary-in-the-Middle (AiTM) phishing attacks, which bypass Multi-Factor Authentication (MFA) using reverse proxies (e.g., Evilginx, EvilProxy). Learn defensive strategies including implementing FIDO2, configuring Conditional Access policies, and monitoring session hijacking indicators in SIEM/Web Proxies.

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 implements a comprehensive brand monitoring system to detect brand impersonation attacks across multiple digital attack surfaces, including domain squatting, social media profiles, phishing sites, mobile apps, and the dark web. It uses tools like dnstwist and integrates APIs (Google Safe Browsing, VirusTotal) to proactively identify unauthorized brand usage and potential cyber threats targeting an organization.

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 comprehensive guide outlines the phased rollout process for DMARC (Domain-based Message Authentication, Reporting, and Conformance). It details moving from monitoring (p=none) through quarantine (p=quarantine) to full rejection (p=reject). Adopting DMARC is critical for anti-spoofing, ensuring that only authorized senders can use your domain, thereby significantly reducing phishing and unauthorized email traffic.

This tool provides comprehensive asset discovery and inventory management for Operational Technology (OT) and Industrial Control Systems (ICS) environments using the Claroty xDome platform. It utilizes passive monitoring and active querying to achieve full visibility into critical assets across Purdue Model levels, including PLCs, RTUs, and HMIs. Ideal for compliance assessments (e.g., IEC 62443) and onboarding brownfield sites.

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.