Skill UI

This tool provides comprehensive forensic analysis for Microsoft Outlook PST and OST files. It extracts critical evidence such as message content, detailed headers, attachments, and deleted items using open-source libraries like libpff and Python, supporting legal investigations and incident response.

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.

This comprehensive toolkit provides deep static analysis capabilities for suspicious PDF documents. Using tools like PDFiD, pdf-parser, and peepdf, it identifies embedded malicious structures—including JavaScript code, shellcode, auto-actions, and exploit kits—without opening or rendering the file. It is essential for security analysts conducting threat triage, forensic investigation, and assessing potential attack vectors from suspicious attachments.

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.

Analyze email headers to uncover sender origins, routing chains, and authentication results, enabling defenders to validate legitimacy and spot phishing indicators using manual inspection and automation scripts.

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.

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 skill guides users through parsing Windows Prefetch files (.pf) to establish a comprehensive program execution history. It extracts critical forensic data such as run counts, timestamps (up to 8 events), and referenced files. This is essential for incident response, malware investigation, and building a reliable timeline of activity on a compromised system.

This skill analyzes the cryptographic algorithms, key management systems, and file encryption routines employed by various ransomware families. It covers hybrid schemes like AES-RSA and modern ciphers such as ChaCha20. Use this when assessing data recovery feasibility, reverse engineering ransomware binaries, identifying implementation weaknesses (e.g., IV reuse, key derivation flaws), or developing custom decryptor tools.

This skill provides a structured methodology and Python implementation for monitoring and analyzing data leak sites (DLS) associated with ransomware groups. It helps security analysts track victim postings, extract threat intelligence on group tactics, assess sector-specific risks, and understand evolving ransomware threat landscapes for proactive defense.

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.