{"repo":"bhdresh/Dejavu","free":true,"listed":false,"github":"https://github.com/bhdresh/Dejavu","clone":"git clone https://github.com/bhdresh/Dejavu.git","description":"DejaVU - Open Source Deception Framework","language":"PHP","stars":432,"topics":["deception","dejavu","honeypot","defensive-security","docker"],"license":null,"category":"deployment-docker-iac","readme_excerpt":"DejaVU - Open Source Deception Platform DejaVu (part of Camolabs.io) is a deception platform which can be used to deploy decoys on both cloud(for now we support AWS) and internal network. This is our presentation at Blackhat Europe where we show how we can leverage Deception to detect common adversary tactics and techniques during various stages of attack lifecycle. Deploying DejaVu on Internal Network If you are looking deploying DejaVu on your internal network, you can download the platform from Camolabs.io. Use the below guides to help you get started. Setting it up on Virtual Box: Video Guide Setting it up on VMware ESXi (PDF Guides): Console and Engine Default credentials: administrator:changepassword Background We started DejaVu in 2018 and initially presented our work at Blackhat, Defcon, and HITB. Over the last few years we have added various new decoys, breadcrumbs and changed our architecture based on the feedback from organisations using it. DejaVu can be used by the defender to deploy multiple interactive (Server and Client) decoys strategically across their network on different VLAN’s and on Cloud (AWS). To ease the management of decoys, we have built a web based platform which can be used to deploy, administer and configure all the decoys effectively from a centralized console. Logging and alerting dashboard displays detailed information about the alerts generated and can be further configured on how these alerts should be handled. If certain IP’s like in-house ","default_branch":null,"files":null,"tree":[],"storefront":"/r/bhdresh","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/bhdresh/Dejavu/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}