Skill UI

This guide details the comprehensive process of using the Linux Audit framework (auditd) to detect advanced security threats. It covers deploying specific rules to monitor critical system files, detecting unauthorized privilege escalation, process injection, and suspicious system calls. Users can then leverage ausearch and aureport to efficiently query, reconstruct timelines, and summarize findings for forensic analysis and compliance auditing.

A comprehensive cybersecurity tool designed to analyze malicious VBA and XLM macros embedded within Microsoft Office documents (Word, Excel, PowerPoint). It facilitates deep forensic investigation by extracting, deobfuscating, and tracing the full attack chain, including identifying auto-execution triggers, payload download URLs, and file writing techniques. Useful for malware analysts investigating phishing campaigns and maldocs.

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.

Walks through analyzing RAM dumps with Volatility 3/2 to uncover injected code, hidden processes, network activity, and credentials when responding to compromised hosts.

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.

A comprehensive tool for detecting and analyzing covert communication channels used by sophisticated malware. It focuses on identifying anomalies in network traffic, such as DNS tunneling, ICMP exfiltration, and steganographic HTTP abuse, which are used for Command and Control (C2) communication and data exfiltration. Ideal for security incident response, threat hunting, and building advanced network detection rules.

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.

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.

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 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.

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 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.