Skill UI

A comprehensive guide detailing the Kerberoasting attack process, a critical post-exploitation technique in Active Directory environments. This method targets service accounts by requesting TGS tickets for accounts with Service Principal Names (SPNs), allowing attackers to capture encrypted tickets for offline password cracking. Essential for security assessments and red team simulations.

A comprehensive security auditing tool designed to assess a Kubernetes cluster's compliance posture against established CIS benchmarks. It performs deep checks on control plane components (API Server, etcd, Controller Manager), worker nodes, and Role-Based Access Control (RBAC). Use it for proactive security assessments, compliance validation, and hardening throughout the CI/CD lifecycle.

This guide provides a comprehensive methodology for assessing the security posture of Kubernetes etcd clusters. It covers critical areas including encryption at rest (for secrets), TLS transport security, access control validation, secure backup procedures, and network isolation checks, ensuring cluster data integrity and confidentiality.

This skill detects advanced lateral movement techniques used by attackers after initial compromise, mapping them to MITRE ATT&CK TA0008. It correlates multiple data sources, including Windows event logs (4624, 4769), Sysmon telemetry, network flow data, and endpoint logs, to identify suspicious activities like Pass-the-Hash, PsExec, WMI exploitation, RDP pivoting, and SMB spreading.

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.

This skill leverages the VirusTotal API to perform comprehensive threat intelligence enrichment on file hashes (MD5, SHA-1, SHA-256). It retrieves detection rates from 70+ AV engines, behavioral sandbox reports, associated indicators of compromise (IOCs), and contextual threat data. Use this tool for rapid SOC triage, accurate incident response validation, and enhancing threat hunting workflows.

This skill provides a comprehensive workflow for analyzing malicious software to extract actionable Indicators of Compromise (IOCs). It covers static analysis (PE parsing, hashing, string extraction) and dynamic analysis techniques. Users learn how to identify file hashes, network indicators (C2 IPs, domains), registry modifications, and behavioral artifacts, ultimately formatting the findings into standard STIX 2.1 formats for sharing and incident response.

This skill provides a systematic methodology for investigating malware persistence mechanisms across Windows and Linux systems. It covers analyzing critical areas like the Windows Registry (SYSTEM, SOFTWARE, Run keys), Scheduled Tasks, and WMI artifacts. Use it during incident response, threat hunting, or digital forensics to ensure all unauthorized startup entries are found and remediated.

This comprehensive skill guides the process of rapid malware triage and classification using YARA rules. It covers advanced techniques for writing detection rules based on unique strings, specific byte sequences, and structural PE characteristics. It is essential for security analysts building automated detection pipelines, scanning endpoints, or performing large-scale threat hunting across an enterprise environment.

A comprehensive guide for digital forensics professionals on analyzing volatile memory dumps using Volatility 3. Learn to extract critical evidence, including running processes, network connections, loaded DLLs, system credentials, and detecting advanced threats like process hollowing and rootkits. Essential for incident response and malware analysis.

This automated toolkit streamlines memory forensics using the Volatility3 framework. It is designed to analyze raw memory dumps from Windows, Linux, and macOS, revealing complex threats such as process injection, hidden rootkits, malicious code artifacts, and illicit network connections that traditional disk-based methods cannot detect. Essential for real-time incident response and deep security auditing.