logdata-anomaly-miner

logdata-anomaly-miner This tool parses log data and allows to define analysis pipelines for anomaly detection. It was designed to run the analysis with limited resources and lowest possible permissions to make it suitable for production server use. Requirements In order to install...

DeepTraffic

Deep Learning models for network traffic classification For more information please read our papers. 🎓Wei Wang's Google Scholar Homepage Wei Wang, Xuewen Zeng, Xiaozhou Ye, Yiqiang Sheng and Ming Zhu,"Malware Traffic Classification Using Convolutional Neural Networks for Representation Learning,"...

PortEx

PortEx Welcome to PortEx PortEx is a Java library for static malware analysis of Portable Executable files. Its focus is on PE malformation robustness, and anomaly detection. PortEx is written in Java and Scala, and targeted at Java applications. Features Reading header information from: MSDOS...

anomaly-flow

Anomaly-Flow Framework for implementing Intrusion Detection Systems NIDS aimed at identifying anomalies in network flows using Machine Learning models. Reference paper: Anomaly-Flow: A Multi-domain Federated Generative Adversarial Network for Distributed Denial-of-Service Detection Create the...

In0ri

In0ri is an automated, AI-powered website defacement detection system. Introduction In0ri acts as an intelligent watchdog for your web applications. Instead of relying on traditional source code monitoring, it simulates real-user behavior by periodically taking screenshots of your target websites...

Mr.SIP

SIP Security, Attack and Audit Framework Mr.SIP is...

guardd

guardd Detección de anomalías de comportamiento impulsada por aprendizaje automático para Linux usando eBPF + Isolation Forest Guardd recopila eventos de bajo nivel del sistema ejecución de procesos, actividad de red, los agrega en vectores de características en ventanas de tiempo y detecta...

maltrail

Maltrail Maltrail es un sistema de detección de tráfico de red que identifica la comunicación con infraestructura maliciosa conocida y reporta anomalías de tráfico seleccionadas. Compara dominios, URLs, direcciones IP, pares IP:port y valores de User-Agent observados en la red contra un conjunto ...

polymaster

Whale Watcher NOTA: el repositorio está en transición hacia un bot de trading completo, un agente tipo openclaw con el que hablas en tu Telegram y tienes el poder de desplegar un equipo de agentes para realizar investigación antes de tomar una decisión. Una herramienta CLI en Rust que monitorea...

WhacAMole

WhacAMole WhacAMole is a program that analyzes processes in memory in an integral way, detecting and alerting of anomalies related to malware and presenting and saving in files all the relevant information for verification, correlation or analysis, as well as dumping memory regions, processes and...

batea

Batea A batea is a large shallow pan of wood or iron traditionally used by gold prospectors for washing sand and gravel to recover gold nuggets. Batea is a context-driven network device ranking framework based on the anomaly detection family of machine learning algorithms. The goal of Batea is to...

batea

Batea Una batea es una bandeja grande y poco profunda de madera o hierro utilizada tradicionalmente por los buscadores de oro para lavar arena y grava y recuperar pepitas de oro. Batea es un marco de clasificación de dispositivos de red basado en contexto que utiliza la familia de algoritmos de...

SyntheticSun

SyntheticSun 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. You sleep in fragmented glass With...

Detection-struts-cve-2017-5638-detector

🚨 Detección de Anomalías en Tiempo Real para Apache Struts CVE-2017-5638 Detección de Exploits Zero-Day Basada en Analítica de Streaming y Estructuras de Datos Probabilísticas 📌 Descripción del Proyecto Este proyecto es un sistema de detección de anomalías en tiempo real diseñado para detectar...

pyod

.. image:: https://raw.githubusercontent.com/yzhao062/pyod/master/brand/pyod-icon.svg :target: https://pyod.dev :alt: PyOD Ecosystem :width: 84px Python Outlier Detection PyOD 3 PyOD 3: Agentic Anomaly Detection At Scale |badgewebsite| |badgepypi| |badgeanaconda| |badgedocs| |badgestars|...

tsusen

Tsusen 津波センサー es un sensor de red independiente diseñado para recopilar información del tráfico regular proveniente del exterior es decir, Internet de forma diaria p. ej., escaneos masivos, escáneres de servicios, etc.. Cualquier anomalía debe ser observada de cerca, ya que puede convertirse en u...

hunting-rules

Suricata Hunting Rules a.k.a. TGI HUNT Suricata rules to assist network anomaly detection. These rules are not performance focused and may perform poorly on high throughput networks. Requires Suricata version 7.0.3 or above. Feedback and suggestions are welcomed here. email blog...

DBShield

DBShield Protects your data by inspecting incoming queries from your application server and rejecting abnormal ones. How it works? For example, this is how web server normally interacts with database server: By adding DBShield in front of database server we can protect it against abnormal queries...

Pegasus-Malware-Scan

pegasus-malware-scan Description Pegasus Malware Scan is a comprehensive cybersecurity solution designed for advanced threat detection and malware analysis. Built with Python, this powerful tool employs multi-layered detection techniques to identify and neutralize a wide range of malicious...

SecurityClaw

SecurityClaw — Framework Agente Autónomo de SOC Un agente autónomo modular y basado en habilidades del Centro de Operaciones de Seguridad SOC que monitorea datos de OpenSearch/Elasticsearch, construye memoria conductual basada en RAG y valida anomalías en tiempo real usando LLMs. Funcionalidades...