Skill UI

Guides engineers through bundle analysis, lazy loading, image optimization, caching headers, virtualized lists, and Core Web Vitals monitoring so web apps stay fast and scalable for production traffic.

A command-line utility designed to search, extract, and analyze data from Burp Suite project files (.burp). It allows users to search request/response headers and bodies using complex regex patterns, extract security audit findings, or gather proxy/site map data. Essential for deep analysis of captured HTTP traffic in web security testing, while providing safeguards against large data overflows.

A comprehensive guide and toolkit for identifying, repairing, and unpacking UPX-packed malware samples. It addresses scenarios where standard automated decompression fails due to modified PE headers or magic bytes, allowing analysts to recover the original executable for deep static analysis and disassembly in tools like Ghidra or IDA.

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.

This comprehensive guide details the multi-step workflow for responding to sophisticated phishing incidents. It covers everything from initial triage and detailed email header analysis to analyzing malicious URLs and attachments in sandboxes. Key steps include determining the scope of impact, implementing immediate containment actions (like purging emails and revoking sessions), and executing thorough remediation to neutralize the threat and recover affected accounts.

This guide details how to perform pre-execution static analysis of Windows PE malware samples using tools like PEStudio, Python's pefile, and FLOSS. It focuses on examining file headers, section entropy, import address tables (IAT), and embedded strings to identify malicious functionalities, packing techniques, and indicators of compromise (IOCs) without running the binary. Ideal for initial triage of suspicious executables.

A comprehensive workflow and deep technical guide for analyzing malicious Linux ELF binaries. Covers static analysis (reading ELF headers, checking entropy, identifying strings), dynamic tracing (monitoring system calls and library usage with strace/ltrace), and reverse engineering (using GDB) of threats like ransomware, botnets, and rootkits targeting Linux servers and containers (x86_64, ARM).