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lawndoc avatar

lawndoc/Respotter

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200 stele·15 fork-uri·Python·MIT·3 vizualizări

Respotter

This application detects active instances of Responder by taking advantage of the fact that Responder will respond to any DNS query. Respotter uses LLMNR, mDNS, and NBNS protocols to search for a bogus hostname that does not exist (default: Loremipsumdolorsitamet). If any of the requests get a…

Features

  • Security Lab Environments - Tool for identifying and analyzing potential security threats.

Istoric stele

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Alternative open-source pentru Respotter

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Vezi toate cele 30 alternative pentru Respotter→

Întrebări frecvente

Ce face lawndoc/respotter?

This application detects active instances of Responder by taking advantage of the fact that Responder will respond to any DNS query. Respotter uses LLMNR, mDNS, and NBNS protocols to search for a bogus hostname that does not exist (default: Loremipsumdolorsitamet). If any of the requests get a…

Care sunt principalele funcționalități ale lawndoc/respotter?

Principalele funcționalități ale lawndoc/respotter sunt: Security Lab Environments.

Care sunt câteva alternative open-source pentru lawndoc/respotter?

Alternativele open-source pentru lawndoc/respotter includ: zhuifengshaonianhanlu/pikachu — Pikachu is a web security training platform and vulnerable web application sandbox. It provides a containerized lab… lionsec/katoolin — Katoolin is a Debian software repository manager and security toolset automator. It functions as a script to automate… aquasecurity/tracee — Tracee is a cloud-native runtime security and forensics tool that uses eBPF to capture system calls and kernel events… azr43lkn1ght/dfir-labs — DFIR LABS is a compilation of challenges that aims to provide practice in simple to advanced concepts in the following… cea-sec/openwec — OpenWEC is a free and open source (GPLv3) implementation of a Windows Event Collector server running on GNU/Linux and… attackiq/detectiq — DetectIQ is an AI-powered security rule management platform that helps create, analyze, and optimize detection rules…