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.
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.
git clone https://github.com/p1ngul1n0/blackbird
cd blackbirdpip install -r requirements.txtpython blackbird.py -u usernamepython blackbird.py --webAccess http://127.0.0.1:5000 on the browser
python blackbird.py -f username.jsonpython blackbird.py --list-sites- YouTube
- Telegram
- TikTok
- Tinder
- Snapchat
- 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
- MCUUID 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
- DevPost
- OneCompiler
- TryHackMe
Blackbird sends async HTTP requests, allowing a lot more speed when discovering user accounts.
Blackbird uses JSON as a template to store and read data.
The data.json file store all sites that blackbird verify.
- 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)
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.
Feel free to contact me on Twitter


