Dejavu - DejaVU - Open Source Deception Framework

项目说明

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 le Deception to detect common ad tactics and techniques during 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 Box: Video Guide
* Setting it up on 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 ha 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 interacti and Client) decoys strategically across their network on different VLAN’s and on Cloud (AWS). To ease the management of decoys, we ha 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 scanner, SCCM etc. needs to be discarded, this can be configured which effectively would mean very few false positives.

Alerts only occur when an ad is engaged with the decoy, so now when the attacker touches the decoy during reconnaissance or performs authentication attempts this raises a high accuracy alert which should be in by the defense. Decoys can also be placed on the client VLAN’s to detect client side attacks such as responder/LLMNR attacks using client side decoys. Additionally, common attacks which the ad uses to compromise such as abusing Tomcat/SQL server for initial foothold can be deployed as decoys, luring the attacker and enabling detection.

> One of the major ad of DejaVu - Using a single platform you can deploys decoys across different VLANS and manage, monitor them.

Use Cases

Below are few examples attack using Deja you can detect:

* (Attack) : Port Scan/Enumeration

(Defense) : Fake Services spread out throughout the network

* (Attack) : Password Spray/ Brute Force Attack

(Defense) : Deploy multiple common services, attempts on two/more decoys potentially a password spray attempt

* (Attack) : Attacker targeting low hanging fruits - Tomcat/MSSQL/Jenkins

(Defense) : Deploy common platforms attackers look for initial foothold

* (Attack) : Responsder/ LLMNR Poisoning

(Defense) : NBNS client side decoys to detect MITM attacks

* (Attack) : Bloodhound/Similar tools to identify attack path

(Defense) : DNS Records Manipulation and fake servers

* (Attack) : Lateral Mo - Pass the Hash

(Defense) : Fake Sessions and Injecting Memory Credentials Tokens

* (Attack) : Kerberoast attack

(Defense) : Kerberoasting Service Accounts Honey Tokens

* (Attack) : Data Ex-filtration

(Defense) : Honeyfiles to detect ex-filtration occurrences

Architecture

![Architecture]( "Architecture")

- Deja: This is used deploy decoys across your infrastrucure. So let's you ha offices, you would depoloy an engine in each.

Deja: A centralized console to view and manager all the alerts from your engines. Think of this as your dashboard. Engines connect to Console.

Decoy Types

Ser

- MYSQL
- SNMP
- Custom HTTP Decoy - You can configure this with a custom HTML template
- TELNET
- SMB Server with custom files
- FTP
- TFTP
- Web Server - Tomcat, Apache, Basic Auth
- SSH Interactive and Non-Interactive
- SMTP
- RDP Interactive and Non-Interactive
- VNC
- HONEYCOMB (To capture events from Honey Docs)
- ICS/SCADA Decoys - Modbus and S7COMM

Client Decoys

- NBNS Decoy
- MITM Decoy
- SSDP Client
- Email Client

BreadCrumbs

- Honey Docs
- HoneyHash - Injects creds into memory
- Kerberoast Honey Account

Sneak Peek

<img src=" width="45%" height="250 px"> <img src=" width="45%" height="250 px"> <img src=" width="45%" height="250 px"> <img src=" width="45%" height="250 px">

Authors

* Bhadresh Patel
* Harish Ramadoss Co-founder of ModernSecurity.io

Credits

* Big shout to open source community for previous work on Honeypots

项目信息

开发语言：PHP

Star 数：435

技术要点

该项目属于防护思路方向的开源资源，代码结构清晰，适合安全研究人员学习参考。项目围绕DejaVU - Open Source Deception Framework展开，提供了可运行的实现，对理解相关安全机制、工具原理与攻防技术具有较高的研究价值。

从技术实现角度看，此类项目的核心在于对底层原理的深入理解与工程化落地。开发者在研究过程中可以结合官方文档与社区讨论，梳理项目的初始化流程、核心模块职责与数据流转，逐步掌握其中的技术细节与设计思路。

使用与学习建议

1. 下载源码压缩包，解压到本地环境。

2. 根据项目类型准备对应的运行环境与依赖。

3. 按照 README 中的步骤完成配置与部署。

4. 在隔离的测试环境中运行验证，避免影响生产系统。

免责声明

本资源来源于开源社区，仅供安全研究、技术学习与合法授权范围内的攻防演练使用，请勿用于任何非法或侵害他人权益的用途。使用本项目产生的一切后果由使用者自行承担。