
Pesidious
Malware Mutation Using Reinforcement Learning and Generative Adversarial Networks

Malware Mutation Using Reinforcement Learning and Generative Adversarial Networks

SAFE embeddings to match functions in yara

ML-assisted forensic analysis tool that automates memory, disk, and live system triage on Windows using Volatility 3, autorunsc, and sigcheck to…

Static analysis of malicious Python code

Spam Scanner is a Node.js anti-spam, email filtering, and phishing prevention tool and service. Built for @ladjs, @forwardemail, @cabinjs, @breejs,…

Linux system-call monitor using ptrace to trace file, process, network, and memory activity, with namespace isolation and machine learning…

Python library for local LLM-powered security analysis with Ghidra binary analysis, C/C++ vulnerability scanning, and MCP tool integration for…

Fast and accurate AI powered file content types detection

Malware detection using learning and information retrieval for Android

Android Antivirus which doesn't require root, adb, ca install and cloud with many features and ways to detect more zero-day malware

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

Dynamic and static analysis with Real Time Malware Analysis with Antivirus for Windows, including open-source XDR (3 EDR projects), ClamAV, YARA-X,…

LLM-agent-powered concolic execution engine that instruments source code, summarizes path constraints in natural language, and generates test cases…

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

The world's fastest agentic crawler. Reclaimed. Reinvented. Ready for war.

Embedded GRU neural network for real-time human behavior verification via mouse movement analysis, detecting automated analysis systems, sandboxes,…

Security Scanner for Agent Skills

A benchmark for evaluating AI agents on fixing real-world security vulnerabilities.