Skill UI

CAPE is an open-source sandbox built for automated malware analysis, derived from Cuckoo. It provides advanced behavioral monitoring, payload dumping, and configuration extraction using over 70 parsers for known malware families (e.g., Emotet, Cobalt Strike). It captures network IOCs, dropped files, and detects anti-evasion techniques, making it ideal for security assessments and incident response workflows via its robust API.

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 comprehensive guide details a professional workflow for performing network forensics using Wireshark and tshark. Learn how to analyze captured PCAP files to identify malicious communications, reconstruct data exfiltration, extract crucial artifacts (HTTP, SMB, DICOM), and detect indicators of compromise (IOCs). Essential for incident response and malware analysis.

This skill automates deep packet capture (PCAP) analysis using tshark and pyshark. It is invaluable for security assessments and incident response, enabling the extraction of protocol statistics, identification of suspicious network flows (e.g., port scanning, beaconing), and comprehensive extraction of Indicators of Compromise (IOCs), including IPs, domains, and URLs. It also specializes in detecting complex anomalies like DNS tunneling.

A comprehensive guide for performing static analysis of Windows Portable Executable (PE) files using tools like PEStudio and scripting libraries. This technique examines file headers, calculates section entropy, identifies suspicious API calls (e.g., process injection, persistence), and extracts obfuscated strings and Indicators of Compromise (IoCs) without executing the sample, making it a crucial step in malware triage and reverse engineering.

A comprehensive guide and workflow demonstrating how to use YARA rules for proactive threat hunting. This method helps detect unknown malware, suspicious patterns, and Indicators of Compromise (IOCs) across filesystems, memory dumps, and network artifacts, making it essential for incident response and security analysis.