Friday, April 24th 2026

JAMB Uncovers Over 4,000 Cases of ‘Finger Blending’, AI-Assisted Impersonation in 2025 UTME


JAMB Uncovers Over 4,000 Cases of ‘Finger Blending’, AI-Assisted Impersonation in 2025 UTME
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The Joint Admissions and Matriculation Board (JAMB) has uncovered thousands of high-tech examination fraud cases undermining Nigeria’s admission process, according to the report of its Special Committee on Examination Infractions (SCEIi).

Presenting the findings in Abuja, Chairman of the committee, Jake Epelle, said the team documented 4,251 cases of “finger blending” — a biometric fraud that allows multiple candidates to write exams using a single registration — and 192 cases of AI-assisted impersonation through image morphing during the 2025 Unified Tertiary Matriculation Examination (UTME).

The report further revealed 1,878 false disability claims, forged credentials, multiple National Identification Number (NIN) registrations, and collusion involving candidates, tutorial centres, schools, and some CBT operators.

Epelle described the malpractice as “highly organised, technology-driven, and dangerously normalised,” adding that weak legal frameworks make enforcement difficult.

To combat the threat, the committee recommended that JAMB deploy AI-powered biometric anomaly tools, real-time monitoring systems, and establish a central Examination Security Operations Centre to coordinate oversight and enforcement.

JAMB Registrar, Professor Ishaq Oloyede, received the report and assured that the Board would study its recommendations for implementation.

 

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