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...

graphql-cop

GraphQL Cop - GraphQL用セキュリティ監査ユーティリティ 概要 GraphQL Copは、GraphQL APIに対して一般的なセキュリティテストを実行する軽量なPythonユーティリティです。GraphQL Copは、GraphQLのCI/CDチェックの実行に最適です。軽量で、GraphQLの興味深いセキュリティ問題をカバーしています。 GraphQL Copは、特定された脆弱性に対してcURLコマンドを提供することで、結果を再現できます。 必要条件 Python3 Requestsライブラリ 検出内容 エイリアスオーバーロード DoS バッチクエリ DoS...

An-Integrated-Wireless-Network-Forensic-Analysis-Framework

An-Integrated-Wireless-Network-Forensic-Analysis-Framework This framework combines a set of existing open source tools into an integrated package that automates the forensics investigation process. It is able to capture wireless network traffic, to analyze the captured traffic according to the...

FastNetMon - Very Fast DDoS Analyzer with Sflow/Netflow/Mirror Support

A high performance DoS/DDoS load analyzer built on top of multiple packet capture engines NetFlow, IPFIX, sFLOW, netmap, PFRING, PCAP. What can we do? We can detect hosts in our own network with a large amount of packets per second/bytes per second or flow per second incoming or outgoing from...