Skill UI

A comprehensive guide and methodology for proactively detecting webshell deployments on internet-facing servers. It focuses on analyzing file system anomalies, suspicious process spawning from web applications, and identifying unusual HTTP traffic patterns. Ideal for security operations centers (SOCs) during threat hunting, incident response, and purple team exercises.

Scans web server roots for high-entropy files, suspicious PHP/JSP/ASP payloads, and recent modifications to flag obfuscated webshells via entropy thresholds, regex signatures, and file metadata.

Monitors Windows process creation events to flag Living Off The Land Binary abuse by matching Event ID 4688/Sysmon 1 logs against LOLBAS database entries, supporting threat hunting and SIEM rule creation for fileless attacks.

Learn how to implement robust container security by integrating the open-source Trivy scanner (from Aqua Security) into your CI/CD pipelines. This guide covers scanning container images, Kubernetes manifests, IaC files, and code repositories to detect critical vulnerabilities, misconfigurations, secrets, and generating Software Bill of Materials (SBOM) for comprehensive supply chain security.

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 guides the implementation of network traffic baselining using historical NetFlow/IPFIX data. It leverages Python's pandas library to compute detailed statistical profiles, including hourly/daily distributions, per-host metrics, and protocol ratios. Anomalies are robustly detected using z-score and Interquartile Range (IQR) methods, assisting SOC analysts in identifying unusual activities like data exfiltration or beaconing.

A comprehensive guide to deploying Palo Alto Networks Next-Generation Firewalls (NGFWs). Covers advanced security techniques like App-ID for application awareness, User-ID for identity mapping, zone-based policy enforcement, SSL decryption, and robust threat prevention profiles. Essential for building enterprise-grade network security architectures.

Automate the deployment of osquery scheduled queries to continuously monitor endpoints, covering process inventory, network listeners, file integrity, and persistence mechanisms; generate osquery.conf, configure differential logging, analyze suspicious results, and produce a security report.

Tetragon, a CNCF project under Cilium, provides advanced, kernel-level runtime security observability and policy enforcement in Kubernetes clusters. By utilizing eBPF, it monitors process execution, file access, and network connections with minimal overhead, enabling detection and prevention of container escapes, unauthorized access, and suspicious activity.

This skill guides the process of designing, implementing, and validating advanced security detection use cases for Security Information and Event Management (SIEM) platforms like Splunk, Elastic, and Microsoft Sentinel. It focuses on mapping organizational threat profiles to the MITRE ATT&CK framework to build formal, high-fidelity detection rules, thereby strengthening Security Operations Center (SOC) coverage and reducing blind spots.

This guide details how to implement sophisticated Security Orchestration, Automation, and Response (SOAR) playbooks using Palo Alto Cortex XSOAR. It demonstrates full lifecycle automation, such as phishing incident investigation, requiring enrichment of URLs, IPs, and files, followed by automated containment actions (e.g., blocking senders, purging mailboxes). Mastering this allows SOC teams to drastically reduce Mean Time To Respond (MTTR) by automating detection, analysis, and remediation steps across multiple security tools.