Skill UI

A comprehensive guide to utilizing Cuckoo Sandbox for deep dynamic analysis of suspicious malware samples. This workflow walks through sample submission, real-time monitoring, and programmatic extraction of behavioral indicators, including process activity, network communications (DNS, HTTP), file system changes, and registry modifications, essential for threat intelligence and IOC extraction.

This skill details advanced digital forensics techniques for recovering metadata and content of deleted files by analyzing the NTFS Master File Table ($MFT). It covers examining key system artifacts like $LogFile and $UsnJrnl, and analyzing MFT slack space. Use this when reconstructing file system timelines, investigating data loss, or detecting anti-forensic techniques like timestomping during a Windows forensic examination.

Utilize the Scapy library in Python to perform deep packet inspection, crafting, sending, and sniffing of various network protocols (TCP, UDP, ICMP, DNS). This skill is essential for analyzing pcap files, implementing advanced security techniques like SYN scans, extracting protocol fields, and detecting network anomalies such as fragmentation or tunneling indicators. Ideal for security researchers, SOC analysts, and penetration testers.

A comprehensive guide for analyzing PCAP files captured during malware execution. It demonstrates advanced techniques using Wireshark, Zeek, Suricata, and Python (scapy) to identify Command and Control (C2) communications, data exfiltration channels, Domain Generation Algorithms (DGA), and periodic beaconing patterns. Essential for malware reverse engineering and network threat detection.

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 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.

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 skill guides the process of analyzing Windows Prefetch (.pf) files to reconstruct a detailed program execution history. By parsing these system artifacts, users can determine which applications were run, how many times, and when. It is crucial for building forensic timelines, confirming suspicious binary execution during malware investigations, and localizing evidence in a Windows 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.

A comprehensive method for deep forensic analysis of NTFS disk images. It examines critical artifacts such as the Master File Table (MFT), USN Change Journal, Alternate Data Streams (ADS), and unallocated slack space. This is essential for recovering deleted file metadata, detecting hidden data, and reconstructing file system activities when standard recovery tools are insufficient.

This system maps advanced persistent threat (APT) group TTPs to the MITRE ATT&CK framework. Utilizing the attackcti library to query STIX/TAXII data, it generates specialized ATT&CK Navigator layer files. It is essential for security analysts to profile threat actors, visualize comprehensive coverage heatmaps, and precisely assess detection gaps against sophisticated adversaries.