Skill UI

A comprehensive guide to deploying and configuring Suricata as a high-performance Intrusion Detection System (IDS) or Intrusion Prevention System (IPS). This skill covers setting up multi-threaded packet processing for high-throughput links, enabling protocol-aware inspection (HTTP, TLS, DNS, SMB), generating structured EVE JSON logs for SIEM ingestion, and integrating advanced signature and anomaly detection capabilities.

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.

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.

This skill simulates bandwidth throttling and network degradation attacks using tools like tc, iperf3, and Scapy. Designed exclusively for authorized lab environments, it validates Quality of Service (QoS) controls, tests the resilience of real-time applications (like VoIP and video conferencing), and assesses network monitoring tools' ability to detect abnormal traffic manipulation.

A comprehensive guide for safely rolling out and enforcing DMARC policies. This process involves inventorying all legitimate email sending sources, configuring SPF/DKIM alignment, and gradually progressing the DNS policy from monitoring (p=none) to full rejection (p=reject). Essential for meeting modern bulk-sender authentication requirements and preventing email spoofing.

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.

A comprehensive solution for performing Operational Technology (OT) vulnerability assessments using the Claroty xDome platform. It automatically discovers assets, correlates vulnerabilities using CVE and ICS-CERT advisories, and calculates risk scores. This method is designed for compliance requirements (e.g., IEC 62443, NERC CIP) and initial asset risk profiling, relying on passive monitoring and safe querying rather than active scanning or penetration testing.

This tool orchestrates safe vulnerability assessments for Operational Technology (OT) and Industrial Control Systems (ICS) environments. It prioritizes safety by guiding users through passive monitoring, native protocol querying, and carefully controlled active scanning methods, specifically designed to identify vulnerabilities without risk of disrupting industrial processes or crashing legacy controllers. Essential for compliance audits (e.g., IEC 62443).

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 focuses on detecting and mitigating sophisticated code injection and privilege escalation attacks across the entire serverless ecosystem (AWS Lambda, Azure, GCP). It combines static analysis of dangerous code sinks (e.g., eval, exec) with continuous monitoring of event sources (S3, SQS, API Gateway) and rigorous IAM auditing. It provides a comprehensive framework to secure the expanding serverless attack surface.

This tool monitors Modbus TCP communication within SCADA and ICS environments to detect security anomalies. It performs deep packet inspection, baselines normal communication patterns (e.g., typical function code distribution, register access), and applies statistical analysis to identify unauthorized register writes, reconnaissance attempts, or denial-of-service attacks targeting industrial control devices.

A comprehensive guide for diagnosing production performance issues in Qdrant vector databases. Learn how to systematically check the optimizer status, analyze high memory usage (OOM crashes), and troubleshoot slow query latencies using key metrics and dedicated API endpoints. Essential for maintaining optimal operational health.