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...

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...

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...

awesome-TS-anomaly-detection

awesome-TS-anomaly-detection List of tools & datasets for anomaly detection on time-series data. All lists are in alphabetical order. In the lists, maintaned projects are prioritized vs not mantained. A repository is considered "not maintained" if the latest commit is 1 year old, or explicitly...

polymaster

Whale Watcher NOTE: repo is transitioning to a full featured trading bot, openclaw like agent that you talk in your telegram with power yo deploy a team of agents to perform research before making a decision. A Rust CLI tool that monitors large transactions on Polymarket and Kalshi prediction...

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...

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...

Insider-Threat

Insider Threat Graph Models R5.2 & R6.2 This repository contains data preparation, feature extraction, and graph-based models GCN-NN, GCN-BiLSTM, and GCN-BiLSTM+Attention for implicit+explicit signals for insider-threat detection using the CMU CERT Insider Threat Test Dataset R5.2, R6.2. Reposito...

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,"...

Mr.SIP

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

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...

SecurityClaw

SecurityClaw — Autonomous SOC Agentic Framework A modular, skill-based autonomous Security Operations Center SOC agent that monitors OpenSearch/Elasticsearch data, builds RAG-based behavioral memory, and validates real-time anomalies using LLMs. Features Skill Modularity — Capabilities as isolate...

Pegasus-Malware-Scan

pegasus-malware-scan Descripción Pegasus Malware Scan es una solución integral de ciberseguridad diseñada para la detección avanzada de amenazas y el análisis de malware. Construida con Python, esta potente herramienta emplea técnicas de detección multicapa para identificar y neutralizar una ampl...

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...

deep-loglizer

Deep-loglizer Deep-loglizer is a deep learning-based log analysis toolkit for automated anomaly detection. If you use deep-loglizer in your research for publication, please kindly cite the following paper: Zhuangbin Chen, Jinyang Liu, Wenwei Gu, Yuxin Su, and Michael R. Lyu. Experience Report: De...

guardd

Guardd Behavioral anomaly detection for Linux, powered by eBPF and machine learning. Guardd learns how a Linux host normally behaves and flags activity that differs from that baseline. Kernel sensors collect process executions and outbound TCP connection attempts; an Isolation Forest scores the...

msnm-sensor

Description MSNM-S Multivariate Statistical Network Monitoring-Sensor shows the practical suitability of the approaches found in PCA-MSNM and in Hierarchical PCA-MSNM works. The first one present the MSNM approach and new multivariate statistical methodology for network anomaly detection while th...

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...

ALYCON-Threat-Landscape

ALYCON: Advanced Threat Landscape Analysis Multi-Domain Threat Detection using Information-Theoretic Phase Space Analysis Overview ALYCON phase space visualization showing multi-domain threat detection and anomaly classification. Framework: Training-free, universal anomaly detection using Shannon...