Please wait ...
0% Complete
Home
/
15th International Conference on Computer and Knowledge Engineering
Security Analysis of MiniApps: Vulnerabilities, Exploits, and a Tailored Mitigation Framework
Authors :
Keyhan Mohammadi
1
Arman Moradi
2
Reza Ebrahimi Atani
3
1- Dept. of Computer Engineering University of Guilan Rasht, Iran
2- Dept. of Computer Engineering University of Guilan Rasht, Iran
3- Dept. of Computer Engineering University of Guilan Rasht, Iran
Keywords :
Telegram MiniApps،WebView Exploits،Man in the Middle Attacks،Data Leakage،Sandbox Isolation،Web3Auth
Abstract :
Telegram MiniApps and WeChat Mini Programs represent two leading implementations of the superApp sub application paradigm, each combining centralized backend ser- vices with lightweight, embedded client interfaces. While both platforms enable rich user experiences, they also introduce significant security risks through architectural and implemen- tation flaws. In this paper, we present a comparative analysis of vulnerabilities in Telegram MiniApps and WeChat Mini Programs, drawing from documented exploits and empirical testing. For WeChat, prior studies reveal widespread issues including sensitive data leakage, weak permission enforcement, and cross MiniApp request forgery, affecting millions of deployed apps. For Telegram, we identify unproxied frontend–backend communication leaking IPs and server endpoints, insecure HTTP defaults in the Bot API enabling man in the middle attacks, and inadequate auditing of TON blockchain smart contracts. We further analyze adversarial MiniApps exploiting WebView sandbox weaknesses for malware delivery, cryptomining, and cryptocurrency phishing. Building on these findings, we propose a comprehensive mitigation framework tailored to Telegram but informed by lessons from WeChat’s vulnerabilities. Our approach includes mandatory HTTPS, Telegram-hosted proxying, sandbox isolation, automated malicious activity detection, and AI-assisted code auditing. The results highlight the urgent need for platform level reforms across superApp ecosystems to align rapid feature growth with strong user privacy and security guarantees.
Papers List
List of archived papers
No-Reference Video Quality Assessment by Deep Feature Maps Relations
Amir Hossein Bakhtiari - Azadeh Mansouri
Automated software design using Machine Learning With Natural Language Processing
Fahimeh Khedmatkon - Seyed Mohammad Hossein Hasheminejad - Jaleh Shoshtarian Malak
HV-RCE: Reducing Network Bandwidth Usage for Video Transmission via HEVC/VVC Features in Resource-Constrained Environments
Yaghoub Saberi - Mohammadreza Forghani - Sharifeh Sadat Mirkhalaf
A Stacking Ensemble Framework for Ransomware Detection on the Bitcoin Blockchain Using Transaction Graph Analytics
Mohammad Mobin Teymourpour - Parsa Hedayatnia - Mohammad Allahbakhsh - Haleh Amintoosi
Intelligent Resource Collision Management for Cellular Vehicular Systems Using Software-Defined Networking
Mohammad Kazemiesfeh - Neda Moghim - Ahmadreza Montazerolghaem
Real-time Implementation of Fuzzy Visual Servoing for a Delta Robot via Shape and Color Detection
Nooshin Najafian - Alireza Ashrafi Majd - Abbas Ansaroudi - Sahar Aghazadeh - Manizheh Zakeri - Mohammad-Reza Sayyed Noorani
To Transfer or Not To Transfer (TNT): Action Recognition in Still Image Using Transfer Learning
Ali Soltani Nezhad - Hojat Asgarian Dehkordi - Seyed Sajad Ashrafi - Shahriar Baradaran Shokouhi
SAT Based Analogy Evaluation Framework For Persian Word Embeddings
Seyed Ehsan Mahmoudi - Mehrnoush Shamsfard
A Formalism for Specifying Capability-based Task Allocation in MAS
Samaneh HoseinDoost - Bahman Zamani - Afsaneh Fatemi
Speech Emotion Recognition Using a Hierarchical Adaptive Weighted Multi-Layer Sparse Auto-Encoder Extreme Learning Machine with New Weighting and Spectral/SpectroTemporal Gabor Filter Bank Features
Fatemeh Daneshfar - Seyed Jahanshah Kabudian
more
Samin Hamayesh - Version 44.12.3