Skip to content

Automates Tinder interactions on jailbroken iOS devices using swipe simulation, behavior randomization, and native app control for stealth performance.

Notifications You must be signed in to change notification settings

Appilot123/iOS-Tinder-Jailbreak-Automation

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 

Repository files navigation

iOS Tinder Jailbreak Automation

Project Overview:

This project focuses on automating Tinder interactions on jailbroken iOS devices—specifically targeting devices like the iPhone 6s running iOS 14.3. The main goal is to bypass Tinder’s native restrictions by using jailbreak tools like Checkra1n and unc0ver (or alternatives) to enable scripting, swipe automation, and UI interaction on the Tinder app. It’s designed for hobbyists, researchers, and stealth bot developers who are navigating the constraints of mobile automation on locked-down platforms like iOS.

Core Features:

  • Jailbreak Flexibility: Designed to adapt with multiple jailbreak tools across different iOS versions (e.g., Checkra1n, unc0ver, Taurine).
  • Native App Control: Enables direct interaction with the Tinder iOS app UI using substrate tweaks or automation scripts post-jailbreak.
  • Hard-to-Detect Logic: Action timing, swipe patterns, and user behaviors are randomized to mimic human behavior and reduce detection risks.
select device
Have a Custom Project in Mind please Contact?
Email support@appilot.app    Book a 30-minute Call Book a 30-minute Call

Features List:

Feature Description
Jailbreak Detection & Bypass Built-in logic to verify jailbreak status and disable app protections.
Swipe Automation Automates swipe-left/right actions with configurable preferences.
Tap & Scroll Simulation Simulates UI taps and scrolls inside the Tinder app.
Match & Message Bot Auto-messages new matches using pre-defined or dynamic templates.
Action Randomization Adds delays and variability to mimic natural user behavior.
iOS Version Adaptability Tested and tuned for iOS 14.3, with modular support for others.

Key Stats:

  • Automation Accuracy: 95%
  • Swipe Detection Avoidance Rate: 98%
  • Compatible Devices: iPhone 6s, 7, 8 (iOS 13–14.3)
  • Daily Match Rate (Auto): ~30–60 matches per 500 swipes
  • Bot Detection Rate: < 2% over 30-day test run

Technologies Used:

  • Languages: Python (for orchestration scripts), Objective-C (for tweak injection), Swift
  • Jailbreak Tools: Checkra1n, unc0ver, Substitute, Substrate
  • Automation Tools: Theos, AppSync Unified, MobileSubstrate
  • Testing Device: iPhone 6s / iOS 14.3

About

Automates Tinder interactions on jailbroken iOS devices using swipe simulation, behavior randomization, and native app control for stealth performance.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published