Skill UI

This tool provides comprehensive analysis of the cybersecurity threat landscape using the Malware Information Sharing Platform (MISP). It allows users to query event statistics, analyze attribute distributions (IPs, domains, hashes), identify top threat actors and malware families, and track temporal trends. It is essential for SOC analysts performing incident response, threat hunting, and building advanced detection rules.

This tool provides a comprehensive framework for analyzing web server logs (Apache/Nginx) to detect various security threats. It uses advanced regex matching against OWASP attack signatures to identify SQL injection, Local File Inclusion, and Directory Traversal attempts, alongside behavioral analysis for brute-force attacks and web scanner fingerprints. The system also enriches data using GeoIP for source attribution, generating a prioritized report for SOC analysts.

A comprehensive toolkit using Splunk's SPL language to analyze Windows Security, System, and Sysmon event logs. It maps advanced detection queries to specific MITRE ATT&CK techniques, enabling SOC analysts to investigate authentication attacks (e.g., brute force, password spraying), detect privilege escalation, locate persistence mechanisms, and trace lateral movement for detailed forensic timeline analysis.

This comprehensive forensic workflow guides investigators through the extraction and detailed analysis of Windows Registry hives (SAM, SYSTEM, SOFTWARE, etc.). It is used during incident response to uncover critical artifacts, including user activity history, malware persistence mechanisms (autorun keys), installed software records, and evidence of system compromise.

Builds a comprehensive, automated pipeline for malware submission and analysis. It collects suspicious files from multiple sources (EDR, email gateways), automatically submits them to sandbox environments and multi-engine scanners, and generates detailed verdicts and Indicators of Compromise (IOCs). Essential for SOC teams needing to scale high-volume malware triage and incident response.

This guide details how to write advanced correlation searches using Splunk's Search Processing Language (SPL). It covers techniques like threshold-based detection, sequence analysis, and anomaly detection to identify sophisticated security threats (e.g., brute force, data exfiltration, lateral movement) in a Security Operations Center (SOC) environment. Mastery of SPL is essential for closing SIEM detection gaps and ensuring compliance.

Timesketch is a collaborative, open-source platform for security teams to analyze and reconstruct complex forensic timelines. It ingests and normalizes multi-source security data (logs, artifacts) using methods like Plaso, CSV, and JSONL. Users can visualize event chronology, track attack chains, and utilize advanced built-in analyzers (e.g., Sigma, Chain of Events) for comprehensive incident investigation and documentation.

This solution guides the implementation of a phishing reporting button within email clients, creating a critical feedback loop for security teams. By integrating with SOAR platforms, reported suspicious emails undergo automated triage, including IOC extraction, sandbox analysis, and threat intelligence checks. The workflow enables rapid classification, automated remediation (e.g., mass retraction, sender blocking), and provides detailed feedback to the user reporter, significantly enhancing overall security posture.

A comprehensive skill for optimizing Role-Based Access Control (RBAC) structures. It applies advanced data mining techniques, including clustering (k-means, agglomerative) and Formal Concept Analysis (FCA), to analyze existing user-permission assignments. The goal is to discover the minimal set of necessary roles, thereby preventing 'role explosion,' enforcing the least privilege principle, and ensuring robust identity governance for secure systems.

This skill provides a systematic methodology for building comprehensive threat actor profiles using Open-Source Intelligence (OSINT). It involves gathering, correlating, and analyzing publicly available data from diverse sources (e.g., vendor reports, dark web forums, code repositories). Users can map adversary TTPs to MITRE ATT&CK, assess motivations, and build structured dossiers for proactive defensive strategies and attribution assessments.

This guide details the systematic process of collecting volatile forensic evidence from a compromised system, adhering strictly to the order of volatility. It captures critical data including system memory dumps, active network connections, running processes, and system state before data loss, which is essential for thorough incident response and root cause analysis.

This guide details the comprehensive workflow for conducting memory forensics using Volatility 3. It covers the entire incident response lifecycle, from acquiring raw RAM dumps to analyzing processes, detecting rootkits, investigating network connections, and extracting sensitive artifacts like credentials and injected code. Essential for live memory analysis in cybersecurity investigations.