Smart People (@projectios) — посты канала в Telegram

جسر Cheat Engine لنظام iOS (ceserver) — يعمل مع الأجهزة المكسورة الحماية (Jailbreak) وغير المكسورة الحماية يدعم هذا المشروع حاليًا معظم الوظائف، بما في ذلك التصحيح (Debugging). لأغراض التعلم والبحث فقط، ويُرجى عدم استخدامه في أي أغراض غير قانونية. Cheat Engine Bridge for iOS (ceserver) — Works with both jailbroken and non-jailbroken devices. This project currently supports most functions, including debugging. For learning and research purposes only. Please do not use it for any illegal activities.

21 · 1.2K · 05:15

Ответجسر Cheat Engine لنظام iOS (ceserver) — يعمل مع الأجهزة المكسورة الحماية (Jailbreak) وغير المكسورة الحماية يدعم هذا المشروع حاليًا معظم الوظائف، بما في ذلك التصحيح (Debugging). لأغراض التعلم والبحث فقط، ويُرجى عدم استخدامه في أي أغراض غير قانونية. Cheat Engine Bridge for iOS (ceserver) — Works

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ceserver-ios-main.zip · 375 КБ · нажмите — покажем

https://github.com/0xiuks/ceserver-ios/releases/tag/v1.0.0

23 · 1.4K · 05:16

18 июня 2026

Smart People

Видео
IMG_1521.MP4 · 25.2 МБ · нажмите — покажем

LienQuanVNMod new update

27 · 1.2K · 21:49

ОтветLienQuanVNMod new update

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LienQuanVNMod.dylib · 3.8 МБ · нажмите — покажем

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LienQuanMobileMod 2.ipa · 209.0 МБ · нажмите — покажем

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sources code .zip · 19.4 МБ · нажмите — покажем

40 · 1.3K · 21:50

21 июня 2026

Smart People

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Sources code ‘.zip · 4.6 МБ · нажмите — покажем

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Swiftgram_12.8_1.4.3.ipa · 83.7 МБ · нажмите — покажем

A simple Telegram iOS Tweak. To Open Tweak menu : Open settings and scroll down to "Ask a Question" and hold press to pull up the settings. NOTE: Infinite Updating... bug is fixed in 12.7 versions. disable save restricted media to fix it in older versions. Features • Disable Ads • Ghost Mode • No Read Receipt for messages and Stories • Allow saving Protected Content • Save Restricted Media — save media even where it’s restricted. • Anti-Screenshot — take screenshots without notifications. • Anti-Self-Destruct — disappearing photos and videos no longer disappear. • Anti-Revoke — deleted messages no longer disappear for you. • Anti-Edit — view the original text even after it’s been edited. (Work in Progress)

20 · 1.3K · 04:37

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IMG_1639.MP4 · 27.0 МБ · нажмите — покажем

Dumpy A native iOS app for analyzing Mach-O binary files. Built with a C parsing engine and SwiftUI interface. Dumpy lets you import any Mach-O binary — executables, dylibs, frameworks, object files — and inspect its structure: Objective-C metadata, Swift types, load commands, segments, symbols, and more. Features • FAT & Thin Binary Support — Parse universal (FAT) binaries with architecture selection, or analyze single-architecture binaries directly • Objective-C Metadata Extraction — Classes, protocols, categories, methods, properties, ivars, and selector references • Swift Type Metadata — Structs, classes, and enums from __swift5_types / __swift5_fieldmd sections • Class Dump Generation — Reconstructed @interface declarations with syntax highlighting, search, and export • Search — Debounced cross-tab search across classes, methods, properties, and protocols • Export — Copy class dumps to clipboard, export as .h header files or JSON

26 · 1.6K · 05:18

ОтветDumpy A native iOS app for analyzing Mach-O binary files. Built with a C parsing engine and SwiftUI interface. Dumpy lets you import any Mach-O binary — executables, dylibs, frameworks, object files — and inspect its structure: Objective-C metadata, Swift types, load commands, segments, symbols, an

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Dumpy.v1.1.0 2.ipa · 12.8 МБ · нажмите — покажем

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Dumpy sources code .zip · 7.1 МБ · нажмите — покажем

50 · 1.7K · 05:20

28 июня 2026

Smart People

Видео
IMG_2016.MP4 · 17.4 МБ · нажмите — покажем

13 · 1.4K · 12:56

17 июля 2026

Smart People

Фотография
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#-Ai-ESP-Aimbot-iOS An experimental and educational iOS project demonstrating how to combine AI-based computer vision with iOS technologies using Objective-C++, Core ML, and Vision. The project uses a Core ML model to analyze visual frames and detect objects within an image. The detection results are then converted into screen coordinates and rendered visually through a UIKit overlay using CAShapeLayer. ## How It Works 1. Loads a compiled Core ML model from .mlmodelc. 2. Converts the model into a VNCoreMLModel. 3. Captures a visual frame from the application interface. 4. Processes the image through Vision Framework. 5. Reads the model output using MLMultiArray. 6. Parses detection coordinates and confidence values. 7. Converts coordinates from the model's 640×640 coordinate space to screen coordinates. 8. Renders detection results using CAShapeLayer. 9. Demonstrates low-level touch event handling through the IOHID Event System.

18 · 1.1K · 21:22

Ответ#-Ai-ESP-Aimbot-iOS An experimental and educational iOS project demonstrating how to combine AI-based computer vision with iOS technologies using Objective-C++, Core ML, and Vision. The project uses a Core ML model to analyze visual frames and detect objects within an image. The detection results

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ai esp Aimbot iOS.zip · 166 КБ · нажмите — покажем

## Technologies Used * Objective-C / Objective-C++ * UIKit * Core ML * Vision Framework * CAShapeLayer * MLMultiArray * IOHID Event System * Grand Central Dispatch * Mach Time The main goal of this project is to provide a practical example for developers and researchers interested in computer vision on iOS, including the complete pipeline from image processing and machine learning inference to coordinate transformation, visualization, and input-event research. > This project is intended for educational, research, and experimental purposes to explore the integration of AI and computer vision technologies with iOS systems.

32 · 1.2K · 21:23