Skill UI

This tool deploys decoy canary files in critical system directories to provide early warning against ransomware attacks. Utilizing Python's watchdog library, it monitors for any read, modify, rename, or delete operations on these decoy files. Detection triggers immediate alerts via multiple channels (Email, Slack, Syslog), helping security teams identify and respond to malicious activity before full data encryption occurs. It serves as a crucial detection layer in a layered security defense.

This skill outlines how to configure rsyslog for robust, centralized log collection. It covers establishing high-availability syslog infrastructure using TLS encryption, X.509 certificate authentication, and reliable disk-assisted queuing. Learn to generate and deploy both server and client configurations for secure, segregated, and reliable security operations logging.

This comprehensive guide details how to perform deep forensic analysis on various Linux system logs (auth.log, syslog, systemd journal, audit.log). It teaches methods to reconstruct user activity, identify unauthorized access attempts, trace privilege escalation, and establish comprehensive event timelines following a security incident or during a security audit.

A comprehensive guide for cybersecurity professionals detailing the process of collecting, parsing, and correlating system, application, and security logs (Windows EVTX, Linux syslog, web logs). It helps reconstruct event timelines, identify breach activity, and establish evidence for forensic reports.

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.