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AII-1001-96429
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AI-Generated Fake IDs Used in Indonesian University Entrance Exam Cheating

Indonesian authorities detected a new cheating scheme in the 2025 SNBT university entrance exam involving AI-generated forgeries of exam identification cards to allow test-takers to switch exam locations. Officials reported at least 50 cheating incidents and identified 10 proxy test-takers during the exam period, with fraudulent exam services commanding fees of hundreds of millions of rupiah.

27 May 2025 Β· Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi Β· Fraud, scams and manipulation
27 May 2025
AII-1001-96429
Quick facts
Category
Fraud, scams and manipulation
Country
Indonesia
Date
27 May 2025
Drafted by
Raidu Incident Detection

What happened

Indonesian authorities detected cheating in the 2025 SNBT (Ujian Tulis Berbasis Komputer Seleksi Nasional Berdasarkan Tes) university entrance exam using AI-generated fake identification cards. Ketua Umum SNPMB 2025 Eduart Wolok stated that the newest cheating method involved using AI to forge exam participant cards in order to allow test-takers to change their assigned exam locations.

During the exam period, at least 50 participants were caught cheating and 10 proxy test-takers were identified. The exam administration said it detected the scheme because each SNBT 2025 card contained unique barcode codes and serial numbering that did not match the AI-forged versions.

Reported impact

The exam administration reported that fraudulent exam services charged fees of hundreds of millions of rupiah per seat for popular programs of study. Officials acknowledged various cheating methods had been employed, including hidden cameras in eyeglasses, microphones in hearing aids, screen recording applications, and remote desktop software on exam computers.

Index analysis

The AI-generated card forgeries proved ineffective because the exam administration had implemented barcode and unique serial numbering systems on physical cards that could be checked against the participant's claimed exam location. Officials stated they could detect mismatches between the claimed test center and the barcode information.

Governance controls

Exam officials implemented barcode codes and unique serial numbering on participant cards as a mitigation measure against ID forgery schemes. The administration also stated it would cross-reference exam photos with participant identities and would review previous years' exams to identify and pursue past cheating incidents upon request from universities.

Classification

Category
Fraud, scams and manipulation
Industry
Education and training
Country
Indonesia
Harm status
Actual harm
Intent
Intentional
Timing
Post-deployment
Harm types
Economic or property, Public interest
Harmed
Consumers, General public
AI systems
AI image generation tool

Sources and evidence

Sources not yet published

This record was researched and written by the Index from original reporting. Its sources are still being verified by an editor, and they are listed here once that check is complete. Until then the record carries no reviewer.

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