
DGA-Detection
DGA Domain Detection using Bigram Frequency Analysis

DGA Domain Detection using Bigram Frequency Analysis

ML-based detection of Zombie ZIP archive header evasion attacks (CVE-2026-0866)

Static analysis of malicious Python code

AI-Powered Reverse Engineering Plugin for IDA Pro

Reconstructs legacy Windows binaries into C source by pairing Ghidra decompiler exports with local LLMs, producing compile-checked candidates and…

Advanced detection of port scanning, DoS and malware attacks using Machine Learning techniques

AI-curated blocklist of 3,000,000+ domains for blocking ads, trackers, malware, and cryptojacking. Integrates with hosts files, Pi-hole, and browser…

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

Malware Mutation Using Reinforcement Learning and Generative Adversarial Networks

Automated security analysis pipeline that runs CodeQL queries on GitHub repositories and uses LLMs to classify and filter true vulnerabilities from…

AI Smart Contract Security Analysis and PoC Generation Framework

Self-hosted multi-agent environment for Go with LLM-powered pentesting agents (exploiter, reverser, threathunter, webscanner) that automate…

The code of VulTriage: Triple-Path Context Augmentation for LLM-Based Vulnerability Detection

This Repository is created after my own research into malicious browser extensions, by brining the work of many others and news articles into one…

The community's most comprehensive, continuously-updated index of research on Large Language Models for software vulnerability detection — papers…

Curated list of backdoor learning papers, surveys, and toolboxes, organizing poisoning-based attacks and defenses in deep learning for researchers…

Multi-engine framework for unpacking and analyzing VM-protected binaries using dynamic taint tracking, symbolic execution, pattern classification,…

The repository that contains the algorithms for generating domain names, dictionaries of malicious domain names. Developed to research the…