
Multimodal-web-attack-Dataset
This repository hosts a multimodal web attack dataset (MWAD) to advance AI-driven threat detection research.

This repository hosts a multimodal web attack dataset (MWAD) to advance AI-driven threat detection research.

Graph-based threat detection system using inexact graph vector matching to compare threat graphs with CTI-derived attack query graphs for automated…

Ability to detect suspicious activity such as (WEP/WPA/WPS) attack by sniffing the air for wireless packets.

Multi-layered prompt injection detector for AI applications using heuristics, LLM-based analysis, vectorDB attack signatures, and canary token leak…

Simulates CVE-2024-38063 TCP/IP remote code execution attack, captures network traffic with TShark, and trains a machine learning model to detect…

The AI Security Verification Standard (AISVS) focuses on providing developers, architects, and security professionals with a structured checklist to…

Reverse Shell Detection with Machine Learning

Java library to analyse Portable Executable files with a special focus on malware analysis and PE malformation robustness

Next-gen logical WAF engine built in SWI-Prolog. Features an inductive learning brain running at 2M+ LIPS with an integrated recursive decoder to…