
Macrome
Excel Macro Document Reader/Writer for Red Teamers & Analysts

Excel Macro Document Reader/Writer for Red Teamers & Analysts

Red team operator and malware developer specializing in evasion techniques, reverse engineering, and initial access operations. Active CVE researcher…

Rust Weaponization for Red Team Engagements.

A Python pickling decompiler and static analyzer

Evidence-focused malware reverse engineering with deep PE/.NET inspection, Ghidra reconstruction, AI cross-checks, YARA, and ELF debugging

This repository contains the complete record of my three-year research journey, covering the project from foundational concepts to advanced-level…

A collection of hacking / penetration testing resources to make you better!

Security scanner for AI/ML model files. Detects malicious code, backdoors, and vulnerabilities before deployment

Header-only Windows x64 indirect syscall library. Zero CRT, zero IAT, VEH anti-BP, AMSI/ETW bypass, W^X memory, per-call dynamic stubs.

AI-powered Windows diagnostic & auto-repair tool using Google Gemini. Detect crashes, optimize performance, scan for malware, and generate PowerShell…

Rogue Access Point framework for red team engagements and Wi-Fi security testing. Performs Evil Twin, KARMA, and Known Beacons attacks to achieve…

817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3…

Proper sandboxing for agentic coding and web browsing

AI-driven automated threat analysis pipeline that routes files, URLs, IPs, domains, or images through specialized security analyzers and generates…

Security Scanner for Agent Skills

Curated collection of EDR bypass resources including PoCs, tools, workshops, presentations, and blogs for ethical hacking and red team operations.

EmailXpose is an open source AI-powered email security system that detects phishing, spam, scams, malware, and social engineering attacks. It goes…

Official code for the ISSTA 2026 paper: Is "Knowing It’s Malicious" Enough? Evaluating LLMs for Fine-Grained Malware Behavior Auditing