DejaVU - Open Source Deception Framework
Clone or download
Latest commit f33eced Dec 9, 2018
Type Name Latest commit message Commit time
Failed to load latest commit information.
images Delete 1.txt Aug 3, 2018
LICENSE Create LICENSE Aug 12, 2018 Update Dec 9, 2018

Virtual Box Download Link


Beta V7

  • MD5 : 0eb7e623d7c9644986a708bf1776fcdc


  • New functionality

    • Syslog server configuration (Settings >> Update Syslog Details)
    • Introduced event management to manage generated threat events (Log Management >> List events)
  • Bug fixes

DejaVU - Open Source Deception Framework

DejaVu is an open source deception framework which can be used to deploy decoys across the infrastructure. This could be used by the defender to deploy multiple interactive decoys (HTTP Servers, SQL, SMB, FTP, SSH, client side – NBNS) strategically across their network on different VLAN’s. 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 vulnerability scanner, SCCM etc. needs to be discarded, this can be configured which effectively would mean very few false positives.

Alerts only occur when an adversary 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 investigated 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 adversary uses to compromise such as abusing Tomcat/SQL server for initial foothold can be deployed as decoys, luring the attacker and enabling detection.

DejaVu has been presented at Blackhat Arsenal, Defcon Demo Labs and HITB Armory


Deja Vu Architecture

  • Host OS: Primary OS hosting the DejaVU virtual box. Note: Primary
    host can be OS independent Windows/Linux and can be based on
    corporate hardening guidelines.
  • DejaVu Virtual Box: Debian based image containing open source deception framework to deploy multiple interactive decoys (HTTP Servers, SQL, SMB, FTP, SSH, client side – NBNS, etc.).
  • Networking
    • Management Interface – An interface to access web based management console. (Recommended to be isolated from internal network.)
    • Decoy Interface – Trunk/Access interface for inbound connections from different networks towards the interactive decoys. (Recommended to block outbound connections from this interface)
    • Virtual Interfaces – Interfaces bridged with decoy interface to channel traffic towards the decoys.
  • Server Dockers – Docker based service containers – HTTP(Tomcat/Apache), SQL, SMB, FTP, SSH, etc.
  • Client Dockers – Docker based client container – NBNS client
  • Management Console (Web + DB) – A centralized console to deploy, administer and configure all the decoys effectively along with logging and alerting dashboard to display detailed information about the alerts generated.

Source Files

Source files/Scripts are on the following path

├── .
├── var                   
│   ├── www/html/Decoify   # Core DejaVu Files
│       ├──         # Main Log monitoring 
│   ├── dejavufiles        # For backup/restore and custom file structure
│   ├── log/data           # To process graph data & Breadcrumb files
├── etc 
│   ├── rc.local	   # Bootup Script
│   ├──         # Startup script
│   └──         # Log Monitoring script for TCP/UDP/ICMP

Sneak Peek

To Do

  • Initial Setup Wizard
  • Upload custom file structure/pages for web (Apache) decoys
  • Persistance on reboot
  • Backup/Restore configuration
  • Custom Filters to exclude inhouse scanners/asset discovery tool
  • Code Cleanup and sanitization
  • Add client side decoys generating HTTP, FTP traffic
  • ISO image
  • Wiki


Bhadresh Patel (@bhdresh)

Harish Ramadoss (@hramados)


  • AdminLTE for their awesome UI theme
  • Big shout to open source community for previous work on Honeypots/Deception