Skill UI

This tool analyzes network packet captures (PCAP) to detect covert communication channels used by malware for Command and Control (C2) and data exfiltration. It specifically focuses on identifying indicators of DNS tunneling, ICMP tunneling, and protocol abuse patterns, providing scoring and detailed reasons for suspicious activity. Useful for threat hunting and security incident investigation.

This tool parses NetFlow v9 and IPFIX records to conduct deep network security analysis. It is crucial for investigating security incidents by building traffic baselines and applying statistical methods. Key detection capabilities include identifying port scanning, data exfiltration attempts, command and control (C2) beaconing patterns, and general volumetric anomalies in network traffic.

Examines packet captures, Zeek logs, and NetFlow data to uncover C2 channels, lateral movement, and exfiltration during security incidents, guiding analysts through capture, filtering, and IOC extraction workflows.

A comprehensive guide for deep packet inspection and network forensics using Wireshark and tshark. This skill is critical for incident response, where it allows users to capture, filter, and analyze network packet data to identify malicious command-and-control traffic, diagnose complex protocol issues, extract indicators of compromise (IOCs), and reconstruct data exfiltration paths. Use it for validating security rules and understanding network anomalies.

This skill utilizes the Microsoft Graph API to parse Office 365 Unified Audit Logs for security incident investigation. It is designed to detect critical indicators of account compromise, including the creation of suspicious email forwarding rules, unauthorized mailbox delegation changes, suspicious OAuth application consent grants, and other signs related to Business Email Compromise (BEC).

A comprehensive toolset for digital forensics investigators, enabling the parsing of proprietary Microsoft Outlook PST and OST files. It extracts critical evidence including full message content, detailed email headers (for message routing/tracing), attachments, and deleted items from the Recoverable Items folder. Essential for e-discovery, legal investigations, and security incident response to reconstruct communication patterns and analyze message metadata.

This comprehensive skill scans Linux systems for various persistence vectors, including crontab entries, systemd units, LD_PRELOAD injections, and shell profile modifications. It correlates these findings with auditd logs to build a detailed installation timeline, which is critical for incident response and threat hunting to detect hidden backdoors.

A dedicated tool for forensic analysis of Windows PowerShell Script Block Logs (Event ID 4104) captured in EVTX files. It reconstructs multi-block scripts, applying advanced detection heuristics such as entropy analysis and pattern matching to identify obfuscated commands, encoded payloads (Base64), download cradles, and AMSI bypass attempts, crucial for threat hunting and incident response.

This comprehensive skill analyzes Zeek conn.log and NetFlow data to proactively detect advanced indicators of ransomware activity. It identifies critical threats such as Command and Control (C2) beaconing patterns, connections to TOR exit nodes, large-scale data exfiltration flows, and suspicious DNS anomalies. It is essential for threat hunting and complex security incident response.

A comprehensive guide utilizing Splunk Enterprise Security and SPL to conduct deep forensic analysis of security incidents. This skill covers correlating disparate sources like Windows event logs, firewall records, proxy data, and Sysmon logs to detect TTPs, reconstruct timelines, and identify anomalies, making it essential for incident response and threat hunting.

This skill provides a structured methodology and tools for investigating sophisticated supply chain attacks. It focuses on detecting trojanized software updates, compromised build pipelines, and hidden dependencies by performing deep binary comparison, code signing verification, and anomaly detection. Use it during incident response to map out intrusion vectors and assess the full scope of a security breach.

This tool queries a MISP (Malware Information Sharing Platform) instance via PyMISP to compute detailed event statistics, IOC type breakdowns, threat actor galaxy clusters, and tag trends. It generates comprehensive threat landscape reports, visualizing temporal trends. Use it when investigating security incidents, summarizing top threat actors or malware families, or producing a formal Cyber Threat Intelligence (CTI) report.