Skill UI

This skill provides a comprehensive, expert guide to the entire reverse engineering lifecycle. It covers advanced techniques for binary analysis, including static analysis (disassembly, metadata extraction, control flow mapping) and dynamic analysis (API hooking, memory tracing). Mastery includes utilizing industry-leading tools such as IDA Pro, Ghidra, radare2, and specialized frameworks like pwntools and angr. The methodology is structured for secure research, CTF challenges, and vulnerability assessment, emphasizing best practices and ethical use.

A comprehensive workflow for performing static and dynamic analysis of malicious PDF documents. It utilizes tools like peepdf, pdfid, and pdf-parser to extract embedded JavaScript, shellcode, and suspicious objects. Ideal for triaging phishing attachments, analyzing exploit documents, and building threat signatures in a controlled forensic environment.

A comprehensive guide detailing how to integrate DevSecOps best practices into a GitLab CI/CD pipeline. It automates multiple security checks, including Static Analysis (SAST), Dynamic Analysis (DAST), container scanning, dependency scanning, and secret detection. This approach enforces 'shift-left' security, finding and fixing vulnerabilities early in the development lifecycle to ensure compliance and robust security.

A comprehensive guide for conducting penetration testing on iOS and Android mobile applications, adhering to the OWASP MASTG. This skill covers the full mobile attack surface, including static analysis of binaries, dynamic runtime testing, and deep API security assessment. Techniques taught include bypassing certificate pinning, analyzing local data storage (Keychain, SQLite), and identifying vulnerabilities in authentication and network communication.

Guide for performing Android and iOS mobile application penetration testing with OWASP MASTG/MASVS, covering static/dynamic analysis, data storage checks, API abuse, and runtime manipulation using Frida, Objection, and MobSF.

This methodology systematically deobfuscates multi-layered PowerShell malware. It utilizes Abstract Syntax Tree (AST) analysis, dynamic execution tracing, and specialized tools (like PSDecode) to recover hidden payloads, original commands, and C2 infrastructure from scripts obfuscated with Base64, string concatenation, or complex invocation tricks. Essential for incident response and deep malware analysis.

A comprehensive skill designed for advanced security analysis, detecting malicious behaviors across mobile applications (Android/iOS). It performs multi-layered analysis, including static indicator checks (permissions, manifest), dynamic instrumentation via Frida, network traffic monitoring (C2 communication, exfiltration), and automated scanning (MobSF). Use this when investigating suspicious apps, detecting trojans, or performing malware triage.

This skill implements comprehensive API security testing using the 42Crunch platform. It combines static analysis (API Audit) on OpenAPI definitions, dynamic vulnerability scanning (API Conformance Scan) against running APIs, and runtime threat protection. Ideal for integrating OWASP API Security Top 10 checks into CI/CD pipelines and IDEs, enabling 'shift-left' security practices.

CAPE is an open-source sandbox derived from Cuckoo, designed for automated dynamic malware analysis. It features advanced behavioral instrumentation, capturing system changes, network traffic (PCAP), and specialized parsers to extract malware configurations (e.g., Emotet, Cobalt Strike). Use this skill for incident response, security assessments, and validating security controls against complex payloads and evasion techniques.

This skill enables sophisticated runtime dynamic analysis of Android applications using industry-standard tools like Frida and Objection. It is used to observe application behavior, intercept API calls, monitor network traffic, and bypass client-side security protections (e.g., root detection, anti-debugging). Essential for identifying vulnerabilities and analyzing obfuscated code that static analysis cannot reach.

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 step-by-step workflow for reverse engineering malware binaries using Ghidra. It guides users through static and dynamic analysis techniques to study internal logic, C2 communication protocols, cryptographic routines, and obfuscation methods at the assembly and pseudo-C code level. Use this when deep code review is required to extract configuration data, understand exploit mechanisms, or develop detection signatures.