Skill UI

This skill guides users through analyzing suspicious URLs using the URLScan.io platform or API. It provides a safe environment to capture screenshots, DOM content, network traffic, and analyze JavaScript behavior to investigate phishing attempts, credential harvesting, and sophisticated malicious redirects without risking the analyst's system.

This skill automates the execution of suspicious malware samples within a secure, isolated Cuckoo Sandbox environment. It observes comprehensive runtime behaviors, including process creation chains, file system tampering, registry modifications, network communications, and API calls. It is essential for generating detailed behavioral reports, extracting Indicators of Compromise (IOCs), and classifying unknown malware samples.

This skill provides a comprehensive guide to using the Malpedia API for advanced malware intelligence analysis. Users can track malware family relationships, analyze variant evolution, extract associated YARA rules for detection, and map connections to specific threat actors. It is essential for security researchers and SOC analysts building robust threat models.

This skill provides a comprehensive workflow for detecting and analyzing malware persistence mechanisms on Windows systems. It automates the use of Sysinternals Autoruns via scripting to scan hundreds of Auto-Start Extensibility Points (ASEPs), including registry keys, services, scheduled tasks, and drivers. The process flags suspicious entries like unsigned binaries, suspicious paths, or dangerous command-line arguments, making it an essential tool for security incident response and threat hunting.

This skill analyzes behavioral reports (Cuckoo/AnyRun) to detect anti-analysis techniques used by malware, such as timing checks, VM artifact queries, user interaction monitoring, and environment fingerprinting. It provides a structured method for security researchers and SOC analysts to understand malware's true capabilities and detect evasion attempts.

This skill outlines the comprehensive process of memory forensics on compromised Linux systems. It guides users through acquiring volatile memory using the LiME kernel module and analyzing the resulting image with the Volatility 3 framework. Key artifacts extracted include process lists, network connections, bash history, and loaded kernel modules, making it an essential technique for incident response, threat hunting, and security investigations.

This skill guides users through advanced network security analysis using Scapy. It covers crafting, sending, sniffing, and dissecting various network packets (TCP/UDP/ICMP), analyzing pcap files, and detecting anomalies like SYN floods or DNS exfiltration. Ideal for SOC analysts, forensic investigators, and security researchers.

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).

This skill provides a comprehensive workflow for identifying, unpacking, and analyzing packed malware samples, especially those utilizing the UPX format. It details methods for standard UPX decompression and advanced techniques for repairing modified PE headers or magic bytes that prevent automated extraction. The process supports preparing samples for deep static analysis and dynamic debugging.

A comprehensive skill for cybersecurity threat hunting and incident response. This tool systematically scans Linux systems to detect various persistence vectors used by adversaries, including suspicious crontab entries, unauthorized systemd units, LD_PRELOAD hijacking, profile modifications (.bashrc), and SSH key backdoors. It correlates findings with auditd logs to build a detailed timeline of compromise.

A specialized threat hunting skill designed to detect remnants of the PowerShell Empire post-exploitation framework. It analyzes Windows event logs (specifically Script Block and Module Logging) for key Indicators of Compromise (IOCs), such as default launcher strings, Base64 encoded payloads, known module signatures (e.g., Mimikatz), and staging URL patterns. The output provides a detailed JSON report, comprehensive timeline, and MITRE ATT&CK mapping for incident response and security validation.