Skill UI

A comprehensive toolset for analyzing Cobalt Strike Malleable C2 profiles. It parses advanced C2 communication configurations to extract crucial Indicators of Compromise (IOCs) such as HTTP headers, DNS settings, URI patterns, and user agents. The analysis is vital for threat hunting, developing network detection signatures (Suricata/Snort), and understanding evasion techniques used by advanced persistent threats (APTs).

A comprehensive guide and toolkit for analyzing malware Command-and-Control (C2) communication. This method helps security analysts reverse engineer network traffic captured from malware samples, identifying beaconing patterns, decoding custom protocols (HTTP, DNS, etc.), and mapping C2 infrastructure for advanced threat detection and threat intelligence gathering.

A comprehensive guide and workflow for investigating compromised Docker containers. This tool assists digital forensic experts in analyzing layers, volumes, logs, runtime artifacts, and host configurations to identify malicious activity, privilege escalation attempts, and system breaches during incident response.

A comprehensive guide and workflow for digital forensics investigators to analyze raw email headers. This tool helps trace the true origin of suspicious emails, verify sender authenticity, and detect advanced spoofing techniques by validating crucial protocols like SPF, DKIM, and DMARC. It covers everything from header parsing to domain infrastructure analysis and IP reputation checks.

A comprehensive skill for performing deep security audits on Ethereum smart contracts. Utilizes both static analysis (Slither) and symbolic execution (Mythril) to detect critical vulnerabilities such as reentrancy, integer overflows, and access control issues. This process is crucial for ensuring the security and immutability of financial assets before mainnet deployment.

A powerful toolkit utilizing Objection and Frida for authorized mobile penetration testing. It enables deep runtime analysis of iOS applications, allowing users to inspect sensitive data in the keychain, filesystem, and memory. Key capabilities include bypassing client-side protections such as SSL pinning and jailbreak detection without requiring source code access.

This tool parses Kubernetes API server audit logs (JSON lines) to detect critical security events. It specifically targets unauthorized access, secret enumeration, RBAC escalation, privileged pod creation, and shell access (exec/attach). Use it for incident response, threat hunting, or building SIEM detection rules.

A comprehensive guide for analyzing malicious Linux ELF binaries. Covers static inspection using tools like readelf and elftools, dynamic tracing with strace/ltrace, and deep reverse engineering using Ghidra/IDA. Essential for investigating botnets, ransomware, and rootkits in Linux server or container environments.

This skill provides a comprehensive method for detecting kernel-level rootkits on Linux systems. It leverages memory forensics using Volatility3 on physical memory dumps, combined with cross-view analysis (comparing /proc vs /sys) and live system scanning (rkhunter). Techniques include identifying hooked syscall tables, discovering hidden kernel modules, and detecting tampered system structures.

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 guide details the process of performing static analysis on potentially malicious PDF documents. It utilizes advanced tools like peepdf, pdfid, and pdf-parser to extract embedded JavaScript, shellcode, and suspicious objects. Use this method when triaging suspicious attachments from phishing emails or conducting deep forensic examination of weaponized document artifacts to generate actionable Indicators of Compromise (IOCs).

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.