Blackbird

An OSINT tool to search fast for accounts by username across 131 sites.

The Lockheed SR-71 "Blackbird" is a long-range, high-altitude, Mach 3+ strategic reconnaissance aircraft developed and manufactured by the American aerospace company Lockheed Corporation.

Disclaimer

This or previous program is for Educational purpose ONLY. Do not use it without permission. 
The usual disclaimer applies, especially the fact that me (P1ngul1n0) is not liable for any 
damages caused by direct or indirect use of the information or functionality provided by these 
programs. The author or any Internet provider bears NO responsibility for content or misuse 
of these programs or any derivatives thereof. By using these programs you accept the fact 
that any damage (dataloss, system crash, system compromise, etc.) caused by the use of these 
programs is not P1ngul1n0's responsibility.

Setup

Clone the repository

git clone https://github.com/p1ngul1n0/blackbird
cd blackbird

Install requirements

pip install -r requirements.txt

Usage

Search by username

python blackbird.py -u username

Run WebServer

python blackbird.py --web

Access http://127.0.0.1:5000 on the browser

Read results file

python blackbird.py -f username.json

List supportted sites

python blackbird.py --list-sites

Supported Social Networks

Facebook
YouTube
Twitter
Telegram
TikTok
Tinder
Instagram
Pinterest
Snapchat
Reddit
Soundcloud
Github
Steam
Linktree
Xbox Gamertag
Twitter Archived
Xvideos
PornHub
Xhamster
Periscope
Ask FM
Vimeo
Twitch
Pastebin
WordPress Profile
WordPress Site
AllMyLinks
Buzzfeed
JsFiddle
Sourceforge
Kickstarter
Smule
Blogspot
Tradingview
Internet Archive
Alura
Behance
MySpace
Disqus
Slideshare
Rumble
Ebay
RedBubble
Kik
Roblox
Armor Games
Fortnite Tracker
Duolingo
Chess
Shopify
Untappd
Last FM
Cash APP
Imgur
Trello
Minecraft
Patreon
DockerHub
Kongregate
Vine
Gamespot
Shutterstock
Chaturbate
ProtonMail
TripAdvisor
RapidAPI
HackTheBox
Wikipedia
Buymeacoffe
Arduino
League of Legends Tracker
Lego Ideas
Fiverr
Redtube
Dribble
Packet Storm Security
Ello
Medium
Hackaday
Keybase
HackerOne
BugCrowd
OneCompiler
TryHackMe
Lyrics Training
Expo
RAWG
Coroflot
Cloudflare
Wattpad
Mixlr
ImageShack
Freelancer
Dev To
BitBucket
Ko Fi
Flickr
HackerEarth
Spotify
Snapchat Stories
Audio Jungle
Avid Community
Bandlab
Carrd
CastingCallClub
Coderwall
Codewars
F3
Gab
Issuu
Steemit
Venmo
MODDB
COLOURlovers
Scheme Color
Roblox Trade
Aetherhub
BugBounty
Huntr
Universocraft
Wireclub
AminoApps
Trakt
Giphy
Minecraft List
SEOClerks
Mix
Codecademy
Bandcamp
Poshmark
hackster

Export Report

The results can be exported as a PDF Report.

Metadata Extraction

When possible Blackbird will extract the user's metadata, bringing data such as name, bio, location and profile picture.

Random UserAgent

Each time Blackbird does a username search it will use a random UserAgent from a list of 1000 UserAgents to prevent blocking.

Supersonic speed 🚀

Blackbird sends async HTTP requests, allowing a lot more speed when discovering user accounts.

JSON Template

Blackbird uses JSON as a template to store and read data.

The data.json file store all sites that blackbird verify.

Params

app - Site name
url
valid - Python expression that returns True when user exists
id - Unique numeric ID
method - HTTP method
json - JSON body POST (needs to be escaped, use this 👉 https://codebeautify.org/json-escape-unescape)
{username} - Username place (URL or Body)
response.status - HTTP response status
responseContent - Raw response body
soup - Beautifulsoup parsed response body
jsonData - JSON response body

Examples

GET

    {
      "app": "ExampleAPP1",
      "url": "https://www.example.com/{username}",
      "valid": "response.status == 200",
      "id": 1,
      "method": "GET"
    }

POST JSON

    {
      "app": "ExampleAPP2",
      "url": "https://www.example.com/user",
      "valid": "jsonData['message']['found'] == True",
      "json": "{{\"type\": \"username\",\"input\": \"{username}\"}}",
      "id": 2,
      "method": "POST"
    }

If you have any suggestion of a site to be included in the search, make a pull request following the template.

Planned features

Implement Flask Web Server to optimize UX
Export results in PDF
Export results in CSV
Reach at least 300 sites until August 2022
Implement metadata extraction
Deploy on Cloud

Contact

Feel free to contact me on Twitter

sujal11111 / blackbird