Popular GitHub Repositories for Parasitic Threats

Machine Learning based Intrusion Detection Systems are difficult to evaluate due to a shortage of datasets representing accurately network traffic and their associated threats. In this project we attempt at solving this problem by presenting two taxonomies

Liveness detection SDK Linux - iBeta level 2 compliant 3D passive liveness detection engine which can detect printed photos, video replay, 3D masks, and deepfake threats

SyntheticSun is a defense-in-depth security automation and monitoring framework which utilizes threat intelligence, machine learning, managed AWS security services and, serverless technologies to continuously prevent, detect and respond to threats.

An open-source knowledge base of defensive countermeasures to protect AI/ML systems. Features interactive views and maps defenses to known threats from frameworks like MITRE ATLAS, MAESTRO, and OWASP.

LLM security and privacy

Face Liveness Detection SDK - iBeta level 2 compliant passive face liveness detection SDK which can detect printed photos, video replay, 3D masks, and deepfake threats

Monitor, detect, and analyze security threats and Shadow AI in your LLM applications with comprehensive analytics and real-time alerting.

Scan MCP servers for potential threats & security findings.

DeepEYE utilizes computer vision to detect anomalies in video surveillance, offering a proactive security solution. By employing advanced machine learning algorithms, it distinguishes between normal activities and potential threats, enhancing surveillance across sectors like public safety, industry, and smart cities.

This project showcases a Network Intrusion Detection System (NIDS) designed to bolster cybersecurity defenses against evolving threats

Mantissa-Log is an open-source, cloud-native, and cost-transparent log aggregator that allows you to query petabytes of data using a natural language interface to "Ask Questions. Get Answers. Detect Threats."

Source code of the paper "Why Are My Prompts Leaked? Unraveling Prompt Extraction Threats in Customized Large Language Models"

An advanced threat hunting platform that combines the power of network monitoring, log analysis, and machine learning to proactively identify and respond to cyber threats.

Intrusion Detection System that uses Machine Learning to detect insider threat & insider anomaly behavior with the help of machine learning on everyday tasks and more.

一个用Go语言编写的强大且灵活的域名注册可用性检查工具 A powerful and flexible domain name availability checker written in Go. This tool helps you find available domain names based on various patterns and filters.

Self-guided workshop on malware analysis using Copilot. You will learn about Copilot’s capabilities, gain hands-on experience analyzing malicious code, and improve your skills in identifying and mitigating threats.

A repository to hold lecture and activity notes from the University of York MSc Computer Science course

This is an artificial intelligence (ML and DL) project for network security which works by detecting threats and uses attack classification and then implements self-healing mechanisms

Proxilion MCP Security Gateway is a self-hosted, Docker-ready security gateway that provides real-time threat detection (<50ms P95 latency) against insider threats, compromised accounts, and rogue AI agents by analyzing tool calls from assistants like Copilot and Claude Code, achieving a 75-85% detection rate against sophisticated attacks.

PhishTackle-API is a powerful machine learning-driven API designed to combat phishing attacks by analysing email content and URLs. Using machine learning algorithms, this API offers superior phishing detection to enhance your email security. Integrate PhishTackle-API into your applications to help detect and prevent phishing threats.