Ultra-lightweight (600KB) Face Anti-Spoofing classifier. Optimized MiniFASNetV2-SE implementation validated on 70k+ samples with ~98% accuracy for edge devices.

Most Powerful Send Fake Mail Using Any Mail I'd undetectable

Face detection and recognition + liveness detection and spoofing attack recognition using onnxruntime. Includes an easy-to-use Flask API and Dockerfile.

🚨 Check the asn is able to use for ip header modification or no

University of Edinbrugh-Johns Hopkins University's system for ASVspoof 2017 Version 2.0 dataset.

Baselines and Classifiers for speaker anti-spoofing detection

Deep learning-based audio spoofing attack detection experiments for speaker verification.

ARP Poisoning/Spoofing using Scapy Python Library

Implementation of the dns cache poisoning attack reloaded (ACM CCS '20) replication.

Cyber-attack that uses DNS Recursive Server in order to perform a Reflection Attack.

📡 Automatic Driving LiDAR Spoofing Forensics Datasets

Modbus Attack Tool for Remote Industrial eXploitation (M.A.T.R.I.X) is a comprehensive security testing tool for Modbus TCP protocol implementations.

A Python-based ARP spoofing tool for performing Man-In-The-Middle (MITM) attacks by sending spoofed ARP packets to the victim and router.

DNS Spoofing Tool simulates TuDoor attacks by crafting and sending malicious DNS responses to exploit vulnerabilities in DNS resolution, allowing users to test and evaluate DNS security measures.

script simple pero potente que efectua un ataque man in the middle y sniffing, intercepta informacion HTTP y HTTPS y es capaz de tirar conexiones

PortScanner

This project detects whether a face is real or fake using deep learning and computer vision. It uses CNN models trained on depth maps to check liveness in real-time. By combining eye movement tracking and voice recognition, the system ensures secure authentication and prevents spoofing attacks.

dns spoofing tool, with regex support, target specification and more...

Automatic CSP Report-URI report spoofing tools

FeatherNets: Anti Spoof Attack Detection Model (in-progress)